icanatwork
DESCRIPTION
This is a presentation of the SCIP programTRANSCRIPT
Charting the Course VI 2010
Published February 2011
Community Health Improvement Partners
Catalyst for Coalition
Community Benefit Challenge
Senate Bill 697 (1994)
Formation of CHIP
CHIP Vision and Mission
Vision
The leading countywide health partnership advancing the wellbeing of all San Diegans
Mission
Improving the health of all San Diegans through needs assessment advocacy education and programs best accomplished collectively
CHIP Values
As a public-private collaborative dedicated to community health improvement CHIP values
COLLABORATION Where we can make a difference
RESPECT Recognition of each memberrsquos perspective
NEUTRALITY A safe place to collaborate
INNOVATION A forum for critical thought
EFFICIENCY Wise use of resources
CREDIBILITY A reliable source
2-1-1 San Diego
American Lung Association
Council of Community Clinics
County of San Diego HHSA San Diego
Hospice and The Institute for Palliative Medicine
Kaiser Permanente
Project Concern International
Rady Childrenrsquos Hospital amp Health Center
San Diego County Medical Society
San Diego State University College of Health amp Human Services
Scripps Health
Sharp Health Plan
UCSD Health System
UCSD School of Medicine
Vista Hill Foundation
2011 CHIP Executive Partners
Thank you to our sponsors
Premier Sponsorsbull SB697 Hospitals of San Diego County
bull Kaiser Permanente
bull Rady Childrenrsquos Hospital
bull Scripps Health
bull Sharp HealthCare
bull Sharp Health Plan
Supporting Sponsorsbull The San Diego Foundation
bull Alliance Health Care Foundation
Contributing Sponsorsbull Mental Health Systems
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Catalyst for Coalition
Community Benefit Challenge
Senate Bill 697 (1994)
Formation of CHIP
CHIP Vision and Mission
Vision
The leading countywide health partnership advancing the wellbeing of all San Diegans
Mission
Improving the health of all San Diegans through needs assessment advocacy education and programs best accomplished collectively
CHIP Values
As a public-private collaborative dedicated to community health improvement CHIP values
COLLABORATION Where we can make a difference
RESPECT Recognition of each memberrsquos perspective
NEUTRALITY A safe place to collaborate
INNOVATION A forum for critical thought
EFFICIENCY Wise use of resources
CREDIBILITY A reliable source
2-1-1 San Diego
American Lung Association
Council of Community Clinics
County of San Diego HHSA San Diego
Hospice and The Institute for Palliative Medicine
Kaiser Permanente
Project Concern International
Rady Childrenrsquos Hospital amp Health Center
San Diego County Medical Society
San Diego State University College of Health amp Human Services
Scripps Health
Sharp Health Plan
UCSD Health System
UCSD School of Medicine
Vista Hill Foundation
2011 CHIP Executive Partners
Thank you to our sponsors
Premier Sponsorsbull SB697 Hospitals of San Diego County
bull Kaiser Permanente
bull Rady Childrenrsquos Hospital
bull Scripps Health
bull Sharp HealthCare
bull Sharp Health Plan
Supporting Sponsorsbull The San Diego Foundation
bull Alliance Health Care Foundation
Contributing Sponsorsbull Mental Health Systems
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
CHIP Vision and Mission
Vision
The leading countywide health partnership advancing the wellbeing of all San Diegans
Mission
Improving the health of all San Diegans through needs assessment advocacy education and programs best accomplished collectively
CHIP Values
As a public-private collaborative dedicated to community health improvement CHIP values
COLLABORATION Where we can make a difference
RESPECT Recognition of each memberrsquos perspective
NEUTRALITY A safe place to collaborate
INNOVATION A forum for critical thought
EFFICIENCY Wise use of resources
CREDIBILITY A reliable source
2-1-1 San Diego
American Lung Association
Council of Community Clinics
County of San Diego HHSA San Diego
Hospice and The Institute for Palliative Medicine
Kaiser Permanente
Project Concern International
Rady Childrenrsquos Hospital amp Health Center
San Diego County Medical Society
San Diego State University College of Health amp Human Services
Scripps Health
Sharp Health Plan
UCSD Health System
UCSD School of Medicine
Vista Hill Foundation
2011 CHIP Executive Partners
Thank you to our sponsors
Premier Sponsorsbull SB697 Hospitals of San Diego County
bull Kaiser Permanente
bull Rady Childrenrsquos Hospital
bull Scripps Health
bull Sharp HealthCare
bull Sharp Health Plan
Supporting Sponsorsbull The San Diego Foundation
bull Alliance Health Care Foundation
Contributing Sponsorsbull Mental Health Systems
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
CHIP Values
As a public-private collaborative dedicated to community health improvement CHIP values
COLLABORATION Where we can make a difference
RESPECT Recognition of each memberrsquos perspective
NEUTRALITY A safe place to collaborate
INNOVATION A forum for critical thought
EFFICIENCY Wise use of resources
CREDIBILITY A reliable source
2-1-1 San Diego
American Lung Association
Council of Community Clinics
County of San Diego HHSA San Diego
Hospice and The Institute for Palliative Medicine
Kaiser Permanente
Project Concern International
Rady Childrenrsquos Hospital amp Health Center
San Diego County Medical Society
San Diego State University College of Health amp Human Services
Scripps Health
Sharp Health Plan
UCSD Health System
UCSD School of Medicine
Vista Hill Foundation
2011 CHIP Executive Partners
Thank you to our sponsors
Premier Sponsorsbull SB697 Hospitals of San Diego County
bull Kaiser Permanente
bull Rady Childrenrsquos Hospital
bull Scripps Health
bull Sharp HealthCare
bull Sharp Health Plan
Supporting Sponsorsbull The San Diego Foundation
bull Alliance Health Care Foundation
Contributing Sponsorsbull Mental Health Systems
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
2-1-1 San Diego
American Lung Association
Council of Community Clinics
County of San Diego HHSA San Diego
Hospice and The Institute for Palliative Medicine
Kaiser Permanente
Project Concern International
Rady Childrenrsquos Hospital amp Health Center
San Diego County Medical Society
San Diego State University College of Health amp Human Services
Scripps Health
Sharp Health Plan
UCSD Health System
UCSD School of Medicine
Vista Hill Foundation
2011 CHIP Executive Partners
Thank you to our sponsors
Premier Sponsorsbull SB697 Hospitals of San Diego County
bull Kaiser Permanente
bull Rady Childrenrsquos Hospital
bull Scripps Health
bull Sharp HealthCare
bull Sharp Health Plan
Supporting Sponsorsbull The San Diego Foundation
bull Alliance Health Care Foundation
Contributing Sponsorsbull Mental Health Systems
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Thank you to our sponsors
Premier Sponsorsbull SB697 Hospitals of San Diego County
bull Kaiser Permanente
bull Rady Childrenrsquos Hospital
bull Scripps Health
bull Sharp HealthCare
bull Sharp Health Plan
Supporting Sponsorsbull The San Diego Foundation
bull Alliance Health Care Foundation
Contributing Sponsorsbull Mental Health Systems
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
CHIP San Diego County Health Needs Assessment
Charting the Course I 1995 (February 1996)
Charting the Course II 1998 (April 1999)
Charting the Course III 2001 (March 2002)
Charting the Course IV 2004 (March 2005)
Charting the Course V 2007 (January 2008)
Charting the Course VI 2010 (February 2011)
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Uses Charting the Course VI-- A Community Health Needs Assessment
Fulfilling the requirements of SB 697
Not-For-Profit Hospitals --- Community benefit plans(ldquoBaucus Health Care Plan Would Impose New Requirements on Tax-Exempt Hospitalsrdquo)
Provide a community resource
Monitor changes and trends
Basis for development amp evaluation of interventions
Foundation for policy and advocacy
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Needs Assessment Process
August 2009 Process Begins
Process of Development
amp Model Selection
March Community
Kick-Off
April-May Prioritization
Aug-Sept Regional Meetings
Jan-March 2011
Publication
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
2010 Issue Categories
Overarching Issues (4 Issues)
Access to health services
Health communications and health information technology
Public health infrastructure
Social determinants of health
Health-Related Behaviors
(6 Issues)
Keeping immunizations current
Smoking cessation
Improving nutrition
Increasing physical activity
Achieving healthy weight status
Maintaining Oral health
Preventing violence and injury
Health Outcomes (7 Issues)
Cancer
Diabetes
Heart disease and stroke
Infectious diseases
Maternal infant and child health
Mental health
Respiratory diseases
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Who RespondedResponses by Geographic Region Served
Region CountPercent of
total respondents
North Coastal
48 676
North Inland 46 648
North Central
49 690
Central 57 803
East 48 678
South 51 718
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
2010 Priority Health Issues
Access to health services
Social determinants of health
A combination of nutrition weight status physical
activity and fitness
Injury and violence
Mental health and mental disorders
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Community Forums
Develop a regionally focused understanding of health needs and
Develop a list of some of the root causes of
Obesity
Violence amp Injury
Poor Mental Health
Engage the community
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
32 million residents
49 minorities
Growing older adult population
4200 square miles
San Diego County
bull 4200 square miles
bull Urban to remote
bull Geographically diverse
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Access to Health
Services
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
General Health Status Insurance
Coverage amp Medical Home
Only 56 of adults were in excellent or very good health
85 of adults were currently insured
87 of adults had a usual place to go when sick or needing health advice
83 of adults visited a doctor during the past year
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit Community
Profiles Accessed online at wwwsdhealthstatisticscom 72610
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Economic Recession Impact on Coverage Type of Coverage amp Utilization
Changes in health insurance coverage 23 of adults were uninsured in 2009
Changes in healthcare utilization gt half of uninsured adults had no regular source of care
Higher ER utilization 12 increase from 2006-2009
Higher primary care clinic utilization
Competing demands for family budget
Impact on Hospitals Increases in Med-Cal uninsured bad debtcharity care
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Putting Off Care Because of CostPercent who say in the past 12 months they or another family member in their household has done each because of the cost
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Impact to the Business Community
Health status is impacted by access amp utilization of healthcare for workforce and families
Recessions impact employers and in turn impact employees Benefits reduction
Increased insurance premiums
Reduced hourssalary
Increased workload
Other observations
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Social Determinants
of Health
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Poor smokers face a greater risk of getting lung cancer and
heart disease than rich smokers
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
CEOs face more stress and are therefore at greater risk of heart disease than middle
managers or other workers
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Political decisions (laws and social policies) have a greater impact on population health
than individual behaviors (diet smoking and exercise)
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Health Equity
On average in the US how many more supermarkets are there in predominantly white neighborhoods compared to predominantly Black amp Latino neighborhoods
A about the sameB 15 times as manyC 2 times as manyD 4 times as manyE 6 times as many
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Social Determinants of Health
The social determinants of health are the circumstances in which people are born grow up live work and age as well as the systems put in place to deal with illness These circumstances are in turn shaped by a wider set of forces economics social policies and politics (WHO)
Is Inequality Making Us Sick
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Social Determinants of
Health
Economic Factors
Social Inclusion
Education
Racial Ethnic Bias
Community Acceptance
Cultural Factors
Mass Media Influence
Politics
Living Conditions
Geography
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Impact to the Business Community
bull There are many factors that impact health beyond the employer and employee
bull Healthier communities = healthier workforcebull What can the business community do to assure a
healthier community
bull Do your employees feel empowered
bull Social connectedness
bull Personal or collective efficacy
bull Discussion
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Obesity ampWeight Status
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
San Diego County Rate 73
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1985
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Obesity Trends Among US AdultsBRFSS 1986
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 78
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 88
Obesity Trends Among US AdultsBRFSS 1987
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 113
Obesity Trends Among US AdultsBRFSS 1988
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 94
Obesity Trends Among US AdultsBRFSS 1989
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 107
Obesity Trends Among US AdultsBRFSS 1990
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 110
Obesity Trends Among US AdultsBRFSS 1991
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 124
Obesity Trends Among US AdultsBRFSS 1992
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 130
Obesity Trends Among US AdultsBRFSS 1993
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 142
Obesity Trends Among US AdultsBRFSS 1994
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
San Diego County Rate 145
Obesity Trends Among US AdultsBRFSS 1995
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
San Diego County Rate 144
Obesity Trends Among US AdultsBRFSS 1996
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 161
Obesity Trends Among US AdultsBRFSS 1997
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 172
Obesity Trends Among US AdultsBRFSS 1998
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 184
Obesity Trends Among US AdultsBRFSS 1999
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 gt20
San Diego County Rate 192
Obesity Trends Among US AdultsBRFSS 2000
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2001
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 188
Obesity Trends Among US AdultsBRFSS 2002
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 221
Obesity Trends Among US AdultsBRFSS 2003
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 211
Obesity Trends Among US AdultsBRFSS 2004
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 212
Obesity Trends Among US AdultsBRFSS 2005
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 207
Obesity Trends Among US AdultsBRFSS 2006
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 219
Obesity Trends Among US AdultsBRFSS 2007
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 227
Obesity Trends Among US AdultsBRFSS 2008
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
(BMI ge30 or ~ 30 lbs overweight for 5rsquo 4rdquo person)
Source Behavioral Risk Factor Surveillance System CDC
No Data lt10 10ndash14 15ndash19 20ndash24 25ndash29 ge30
San Diego County Rate 231
Obesity Trends Among US AdultsBRFSS 2009
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
3-FOUR-50
Three Behaviors
Four Chronic
Diseases
50 of ALL
DEATHS
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Adult BehaviorsSan Diego County 2007
55 of adults were obese or overweight
bull Low fruit and vegetable consumption 47 of adults eat 5+ servings
High fast food consumption 75 of adults eat fast food 3+ times per week
Low physical activity 13 of adults get no physical activity
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Characteristics of Obese AdultsSan Diego County 2007
bull Lower Education Less than BSBA degree (264) BSBA+ (138)
Working age 25-64 yrs (241)
Poor to good health lt very good (326) gt very good (132)
Disabled Disabled (287) not disabled (191)
Taking Medication for Mental Disorders Medication for emotionalmental health (647)
CHIS 2007
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Overweight - 2009San Diego County Children and Adolescents by Grade
369
349
320
195
234
293
15
20
25
30
35
40
Grade 5 Grade 7 Grade 9
Pe
rce
nt
BM
I a
bo
ve
he
alt
h f
itn
es
s z
on
e
Grade
Males Females
California Department of Education Physical Fitness Report 2009
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Children amp Adolescent BehaviorsSan Diego County 2007
Low fruit and vegetable consumption 23 adolescents eat 5+ servings
50 children eat 5+ servings
Low physical activity 73 of children get recommended vigorous PA
67 of adolescents get recommended vigorous PA
High TV Viewing amp Gaming 15 of children 3+ hours on weekdays
25 of adolescents 3+ hours on weekdays
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Community Regional Forum InputSummary of Identified Root Causes Obesity
Nutrition Limited access to affordable
fresh healthful foods
Fast foods are easily accessible less expensive and marketed heavily
Other Language barriers
Physical Activity Limited access to safe
affordable space for physical activity
Societal norms do not support physical activity
Societyrsquos encouragement of sedentary activities
Fear of crime and safety issues related to being physically active in neighborhoods and parks
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Impact to the Business Community
A healthy workforce is more than the employee Wellness doesnrsquot stop when people clock out
Families
Communities
How can we encourage healthier families amp communities
Discussion
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Injury and
Violence
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Injury and Violence
bull Injury and Violence includes both unintentional and intentional injuriesndashUnintentional injuries are predictable and preventable
through environmental and behavioral changes
bull Motor Vehicle Crashes
bull Falls
ndash Intentional injuries are preventable through increased awareness and behavioral changesbull Homicide and assault
bull Suicide and self-inflicted
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Unintentional Injury PyramidSan Diego County 2008
932persons
died as a result of an unintentional injury
during 2008
20850 patients
Admitted to hospital as a result of an unintentional
injury during 2008
149900 patients
Discharged from hospital emergency departments as a result of an
unintentional injury during 2008
patients
Physiciansrsquo office or clinic visits as a result of unintentional injury
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
125
100
74
19
0
2
4
6
8
10
12
14
Poisoning Overdose dagger
Motor Vehicle Falls Pedestrian
Rate
per 1
00
00
0
Underlying Cause of Deathdagger Due to all intents including suicide and homicide Due to motor vehicle accidents
Injury DeathsSan Diego County 2007
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Deaths Due to Motor VehiclesSan Diego County 2007
100
139
60
106113 115
162
101
164
0
2
4
6
8
10
12
14
16
18
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-64
Ages 65 plusA
ge-a
dju
ste
d
sp
ecif
ic r
ate
per 1
00
00
0
20
07
CoSD 2007
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Community Regional Forum InputSummary of Identified Root Causes Unintentional Injury
Unintentional Injury
Limited access to and knowledge and awareness of prevention
Unsafe home environments
High-risk activities among youth
Cultural bias against services for seniors and Latinos
Low literacy levels
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Intentional Injury DeathsSan Diego County 2000-2008
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Aggravated AssaultSan Diego County 2000-2009
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Community Regional Forum InputSummary of Identified Root Causes Injury amp Violence
Violence
Gang activity
Easy access to and use of illicit drugs and alcohol
High-risk activities among youth
Language and cultural issues related to laws and trust in government programs
Military culture conflicts with civilian code of conduct
Cultural norms do not support reporting problems
Distrust of neighbors community leaders and fear of retaliation
Low literacy levels
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Impact to the Business Community
bull Where does injury and violence prevention fit intoworksite wellnessbull Encouragement of physical activity rarr use of appropriate
safety equipment
bull Worksite safety
bull Stress management
bull Discussion
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Mental Health
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Emotional Well-being Access amp Utilization of Mental Health Services
8 of adults had psychological distress in the past year
13 of adults saw any healthcare provider for emotional-mental andor alcohol-drug issues in past year
16 of adults felt they needed help for emotional-mental andor alcoholdrug issues in the past year
Of those who felt they needed help 65 received treatment
10 of adults have taken prescriptions meds (2+weeks)
22 of adolescents were at risk for depression
Source County of San Diego Health and Human Services Agency Public Health Services Community Health Statistics Unit
Community Profiles Accessed online at wwwsdhealthstatisticscom 72610 Center for Epidemiologic Studies Depression Scale
(CES-D8)
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
ED Discharges with Principal Diagnosis of Mental DisorderSan Diego County 2008
8095 84747717
10063
12184
6082
982510362
11342
5714
0
200
400
600
800
1000
1200
1400
Overall Rate
Male Female White African American
Latino Ages 15-24
Ages 25-44
Ages 45-64
Ages 65 plus
Age
-ad
just
eds
pec
ific
rat
e p
er
10
00
00
200
7
(CoSDCHS 2010)
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Serious Mental IllnessSan Diego County 2007
Prevalence countywide 50
Highest among youth (74)
Prevalence households earning lt200 FPL 82
Highest among adults 25-60 (102)
The number of MHS clients is increasing CMHS clients increased 4 since 2005
AMHS clients increased 8 since 2006
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Cost of Serious Mental Illness$318 Billion a Year
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Suicide DeathsSan Diego County 2000-2008
(CoSDCHS 2010)
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Suicide by AgeSan Diego County 2008
113
60
104
160
191
224
127153
255
0
5
10
15
20
25
30
Overall Rate
15-24 25-34 35-44 45-54 55-64 65-74 75-84 85 plus
Ag
e-s
pecif
ic r
ate
per
10
00
00
(CoSDEPI 2010)
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Factors that Impact Suicide
Gender Male suicide rate is more than three times higher than females Men between the ages of 35-44 have the highest number of suicides
Age Adults between the ages of 25 and 54 have the highest number of suicides Older adults (65+) have highest suicide rate (203)
RaceEthnicity Suicide rate is highest among Whites (167) followed by Blacks (73) AsianOther (55) and Hispanic (37)
Geographic Area Suicide rate is highest in East (125) and Central (121) regions of the County
Suicide Method Firearms are the leading method of completed suicide (410)
Toxicology Of those tested 564 of men and 675 of women tested positive for alcohol andor drugs at the time of their death
Source Suicide in San Diego County 2000-2007 data report
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Community Regional Forum InputSummary of Identified Root Causes Mental Illness
Society
Stigma associated with mental illness
Cultural beliefs related to mental illness
Socioeconomic cultural and language barriers to care
System
Provider systems intimidate consumers
Limited number of culturally competent psychiatrists and nurses
Primary care physicians unwilling to accept referrals or do screening assessment and brief interventions
Limited knowledge on how to navigate the mental health treatment system
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Impact to the Business Community
bull Well-being = Physical Health + Mental Healthbull Physical manifestations of mental illnesses
bull Decreased productivity
bull Lower job satisfaction
bull What responsibility do you have to your employeesrsquo mental healthbull Stress management
bull EAP options
bull Stigma
bull Discussion
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
Next Steps
Are our wellness programs meeting the needs of the population
bull Survey of regional wellness efforts
bull Creation of regional ldquoWellness Indexrdquo
bull Create a ldquoBusiness Guide to Community Healthrdquo
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966
wwwsdchiporg
Contact Information
Holly SalazarDirector of Strategic OutcomesCommunity Health Improvement Partnershsalazarsdchiporg858-609-7966