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Prepared by Jose F Reyes Healthcare Needs Assessment Secondary Data Collection & Analysis Prepared for: Mid Rio Grande Border Area Health Education Center Laredo / Webb County 2011

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Final Report for Secondary Data Analysis

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Page 1: Laredo/Webb Needs Assessment Project

                           

P r e p a r e d   b y   J o s e   F   R e y e s  

Healthcare  Needs  Assessment        Secondary  Data  Collection  &  Analysis  Prepared  for:    Mid Rio Grande Border Area Health Education Center              

Laredo  /  Webb  County   2011  

08 Fall  

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Table of Contents EXECUTIVE  SUMMARY  .................................................................................................................................  3  

INTRODUCTION  ...........................................................................................................................................  4  

PROCESS  DESCRIPTION  ................................................................................................................................  4  Models  Identified  ..................................................................................................................................................................................................  5  Exhibit  1.    High  Level  System  ................................................................................................................................................................................  6  

Specific  Requests  ...................................................................................................................................................................................................  6  Web  Repository  ......................................................................................................................................................................................................  6  Exhibit  2.    Collaboration  and  Resource  Sharing  Mechanism  ..................................................................................................................  8  

SELECTED  DATA  ...........................................................................................................................................  9  Community  Profile  ...............................................................................................................................................................................................  9  Exhibit  3.  Indicators  City  of  Laredo  and  Webb  County  .............................................................................................................................  9  Exhibit  4.    Age  Group  Distribution  ....................................................................................................................................................................  10  Exhibit  5.    Percent  of  Persons  Aged  65  Years  and  Older  in  Texas  Counties.  ...................................................................................  10  

County  Health  Rankings  .................................................................................................................................................................................  11  Health  Outcomes  ......................................................................................................................................................................................................  11  Exhibit  6.  Webb  County  Health  Outcomes  .....................................................................................................................................................  11  Exhibit  7.    Diabetes  ..................................................................................................................................................................................................  12  Health  Factors  ...........................................................................................................................................................................................................  12  Exhibit  8.  Webb  County  Health  Factors  .........................................................................................................................................................  12  ›  Health  Behaviors  ...........................................................................................................................................................................................  13  ›  Clinical  care  .....................................................................................................................................................................................................  13  Exhibit  9:  Health  Insurance  Coverage-­‐Webb  County  (Uninsured)  Number  of  Uninsured  Residents  ..................................  14  Exhibit  10.    Primary  Care  Admissions  by  County  of  Origin  2010.  .......................................................................................................  14  ›  Social  &  Economic  Factors  ........................................................................................................................................................................  15  Exhibit  11.    Higher  Education,  Fall  2010  Enrollment  by  Origin  ..........................................................................................................  15  ›  Workforce  ........................................................................................................................................................................................................  16  Exhibit  12.    Job  Growth  by  occupations  2008-­‐2018  ..................................................................................................................................  16  ›  Physical  environment  .................................................................................................................................................................................  17  Exhibit  13.    Webb  County  -­‐  Texas  Health  Ranking  ....................................................................................................................................  18  

CONCLUSION  .............................................................................................................................................  19  

   

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EXECUTIVE  SUMMARY  

 The  following  report  is  the  result  of  an  exhaustive  curation  process  and  analysis  of  a  wide  array  of  data  and  information  relevant  to  the  Healthcare  Needs  Assessment  lead  by  the  Mid  Rio  Grande  Area  Health  Education  Center  for  the  Laredo  /  Webb  County  region.    

The  curation  process  consisted  in  the  research  and  identification  of  reliable  sources  of  data,  the  organization  of  that  data  and,  in  some  cases,  its  transformation  to  formats  that  will  make  it  useful  for  a  planning  and  decision  making  process.    The  analysis  filtered  curated  data  to  determine  how  adequate  it  was  for  the  purpose  of  this  project.    The  end  result  has  been  stored  in  a  web  repository  where  it  can  be  updated,  enhanced  and  disseminated  throughout  the  community  and  all  healthcare  stakeholders.    Several  healthcare  needs  assessment  models  were  reviewed  for  benchmarking  purposes  and  selected  sets  of  data  have  been  incorporated  into  the  report.    The  County  Health  Rankings  under  the  auspices  of  the  Robert  Wood  Johnson  Foundation  and  the  University  of  Wisconsin  Population  Health  Institute  were  also  key  components  to  establishing  a  secondary  data  model  for  this  project.    The  community  profile  for  Webb  County  shows  that  it  has  reached  the  quarter  of  a  million  population  mark  according  to  the  US  Census  2010.    A  high  concentration  of  population  under  19  years  bracket  suggests  a  tremendous  opportunity  but  also  a  significant  burden  for  the  educational  and  the  healthcare  systems.    While  mortality  levels  (length  of  life)  are  above  the  state  levels,  Webb  still  trails  at  the  national  level.    More  concerning  is  the  county’s  position  in  terms  of  health  factors  that  contribute  to  healthcare  instability.    Among  these  factors,  it  is  access  to  clinical  care  the  one  that  represents  a  significant  threat  due  to  the  following  obstacles:    • High  rate  of  uninsured  population  (48%),    • Primary  care  physician  shortage  (ratio  of  1,843  population  per  1  physician  compared  

1,050:1  in  Texas  and  631:1  in  the  nation)    It  is  worth  noting  that  while  social  and  economic  factors  are  not  affecting  as  much  in  the  short  run  relative  to  the  impact  caused  by  access  to  clinical  care,  it  is  evident  that  current  high  school  graduation  levels,  percentage  of  population  with  a  college  level  education,  35%  of  children  in  poverty  along  with  a  violent  crime  rate  above  the  state’s  average  are  factors  that  need  adequate  planning  and  effective  implementation  of  programs  that  can  deter  their  risk.            

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INTRODUCTION    This  document  constitutes  the  final  report  for  the  work  commissioned  by  the  Mid  Rio  Grande  Area  Health  Education  Center  (AHEC)  for  the  collection,  organization  and  analysis  of  secondary  data  as  part  of  the  Laredo/Webb  County  Healthcare  and  Community  Needs  Assessment  2010-­‐2011.      The  goal  of  this  report  is  to  document  the  work  performed  and  elaborate  on  the  different  sources  of  data  that  were  explored,  the  process  and  rationale  under  which  information  was  captured  and  curated.      In  addition,  it  is  the  intent  of  the  consultant  to  outline  the  current  state  of  affairs  and  establish  a  baseline  through  selected  metrics/indicators  that  can  assist  the  research  team  to  put  the  results  of  the  primary  research  conducted  into  context.    Considering  how  universal  healthcare  is  for  the  well-­‐being  of  a  community,  the  enormous  amount  of  data  and  its  various  uses,  a  web  repository  where  all  data  could  be  kept,  organized,  shared  and  updated  was  created  and  its  utilization  can  become  an  asset  for  the  community  beyond  the  report  itself.      Recommendations  are  also  provided  in  an  effort  to  enhance  the  visibility  of  health  related  information  in  the  Laredo-­‐Webb  region  and  thus  the  improvement/development  of  healthcare  policies  and  programs.    For  the  purposes  of  this  work,  secondary  data  is  defined  as  data  previously  collected  or  general  information  already  available  to  the  public  at  large.        

PROCESS  DESCRIPTION    The  curation  process  (collection  and  organization)  and  the  analysis  of  secondary  data  was  approached  in  accordance  to  the  following  tasks:    1. Identification  of  stakeholders  and  potential  sources  of  data  at  the  local,  state  and  federal  

level.  2. Research  and  review  of  previous  studies  and  assessments  that  could  serve  as  a  models.    

Analyze  structure  and  scope.  3. Establishment  of  a  baseline  and  determination  of  a  set  of  key  indicators  that  directly  and  

indirectly  affect  community  healthcare  and  which  can  be  subject  to  improvement.  4. Request  of  all  available  data  and  operational  information  that  could  assist  in  the  

development  of  a  community  profiles.  5. Assess  reliability  and  relevance.  6. Modification,  enhancement  and  compilation.  

   In  addition,  the  process  required  active  participation  and  involvement  in  initial  meetings  with  stakeholders  and  periodical  meetings  with  the  project  core  group  and  principal  investigators.    

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Models  Identified   Several  community-­‐based  assessment  programs  were  reviewed  in  search  for  components  in  their  design  that  could  assist  in  the  assembly  of  the  secondary  data  required  in  this  Healthcare  Needs  Assessment.    Despite  the  fact  that  each  of  the  models  was  tailored  to  very  specific  objectives  such  as  Title  V  5-­‐year  Needs  Assessment,  Regional  Primary  Care  Needs  Assessment,  etc.,  they  all  shared  similar  concepts  and  principles.    Based  on  that  review,  the  County  Health  Rankings  model,  a  collaboration  between  the  Robert  Wood  Johnson  Foundation  and  the  University  of  Wisconsin  Population  Health  Institute  was  partially  used  in  order  to  establish  the  baseline  and  current  state  of  affairs  of  the  Laredo  /  Webb  County  healthcare.    The  County  Health  Rankings  model  is  described  by  its  creators,  as  a  ranking  mechanism  that  measures  two  types  of  health  outcomes  to  represent  how  healthy  each  county  is:  how  long  people  live  (mortality)  and  how  healthy  people  feel  (morbidity).  These  outcomes  are  the  result  of  a  collection  of  health  factors  classified  in  health  behaviors,  clinical  care,  social  and  economic,  and  the  physical  environment.    These  factors  can  be  influenced  by  programs  and  policies  at  the  local,  state,  and  federal  levels.  (Exhibit  1)    Some  of  the  considerations  to  rely  on  the  County  Health  Rankings  model  for  the  purpose  of  this  report  are:    Holistic  Approach/Comprehensive.    Allows  us  to  conceive  and  understand  healthcare  as  a  whole  system  through  the  indexing  of  different  variables  and  metrics.    Tested  model.  University  of  Wisconsin  Population  Health  Institute  has  been  using  the  ranking  model  since  2003.      Availability.    223  Counties  in  Texas  have  already  been  ranked,  including  Webb.    Benchmarking.    It  provides  the  means  to  establish  comparisons  and/with  other  counties/communities.   Some  of  the  models  mentioned  can  be  found  in  the  Web  Repository  (www.symbaloo.com/mix/needs)  

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Exhibit  1.    High  Level  System  

 

   

COUNTY  HEALTH  RANKINGS    Health  Outcomes  Mortality  Morbidity    

Health  Factors  Health  Behaviors  Clinical  Care  Social  &  Economic  Factors  Physical  Environment  

 

         

Specific  Requests    Other  tasks  performed  during  the  project  aside  from  the  secondary  data  analysis  included  the  exploration,  coordination  and  facilitation  of  exchanges  between  the  UT  School  of  Public  Health  and  both  Webb  Appraisal  District  and  City  of  Laredo  Building  Department  GIS  division  in  order  to  obtain  critical  geospatial  data  and  local  maps  that  could  be  used  in  the  development  of  GIS  mapping  for  the  project.    Tax  rolls  for  2011  were  picked  up  from  the  Webb  Appraisal  District  and  delivered  to  Dr.  John  Kilburn  on  June  03,  2011.    

Web  Repository     While  conducting  the  work  to  compile  all  data  selected  it  became  apparent  that  the  uses  of  the  data  varies  significantly  and  that  its  availability  across  stakeholders  provides  an  added  incentive  for  collaboration  and  joint  coordination  of  efforts.    Based  on  that  premise,  a  web  bookmarking  service  (www.symbaloo.com)  was  selected  and  configured  to  serve  as  the  single  cloud-­‐based  

TASKS 1 2 3 4 5 6 7

Healthcare

Business

Local Government

State Government

Federal Government

Education

Non GovernmentOrganization

(NGO)

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repository  of  electronic  data  that  is  either  available  online  or  stakeholder  (refer  to  Figure  1)  or  that  can  be  uploaded  as  a  single  document.    By  using  Symbaloo,  one  is  able  to  create  collections  (webmixes)  of  website  addresses  that  are  embedded  into  a  tile.    Tiles  can  use  of  different  colors  and  positioned  within  a  matrix  in  the  webmix.    Thus,  color  and  position  become  alternatives  for  data  organization.    (See  screenshots  below)    Some  of  the  advantages  of  using  such  a  service  are:    • Dynamic  source  of  compiled  data    (data  available  24/7,  365)  • Location  of  the  data  and  accessibility  (one  web  address)  • Easy  to  use  (visual  and  intuitive)  • Share  enabled  (ability  to  share  and  disseminate)  • Limitless  possibilities  to  crowdsource  (ability  to  empower  stakeholders  and  staff  members  

to  contribute  and  build  a  much  more  diverse  and  topic  robust  database)  • Customizable  &  target  oriented  (ex.  Veterans,  minorities,  women,  domestic  violence,  etc.)    In  the  case  of  this  project,  colors  have  been  adopted  to  classify  federal,  state,  local  and  non-­‐government  organizations  in  green,  blue,  orange  and  brown  respectively.    Red  and  white  have  not  been  fully  adopted  as  of  yet,  but  can  be  used  for  think-­‐thanks  and  regional  consortiums.        For  more  specific  Symbaloo  features  and  usage  instructions  please  review  the  following  links  from  their  developers:        Video  tutorials:    http://www.youtube.com/user/SymbalooTutorials  Blog:  www.blog.symbaloo.com    

   

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  As  noted,  earlier  in  this  report,  the  Web  repository  tool  can  become  a  catalyst  for  crowdsourcing.    This  concept  can  be  translated  into  the  act  of  an  organization  taking  a  function  once  performed  by  staff  members  and  outsourcing  it  to  an  undefined  (and  generally  large)  network  of  people  in  the  form  of  an  open  call.  This  can  take  the  form  of  peer-­‐production  (when  the  job  is  performed  collaboratively),  but  is  also  often  undertaken  by  sole  individuals.  The  crucial  prerequisite  is  the  use  of  the  open  call  format  and  the  large  network  of  potential  volunteers,  in  this  case,  community  stakeholders.    Each  one  with  their  own  self  interest.  In  exchange  for  belonging  to  the  network  they  receive  added  value  for  sharing  data  that  is  open  public  records  or  refer  valuable  data  that  otherwise  members  of  the  network  were  not  aware  of.    See  Exhibit  2  for  a  visual  diagram  of  the  process  recommended.  

 

Exhibit  2.    Collaboration  and  Resource  Sharing  Mechanism  

 

WEB REPOSITORY

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 SELECTED  DATA  

 The  data  selected  and  presented  herein  was  compiled  based  upon  the  requests  of  the  principal  investigators  during  the  various  meetings  attended  and  the  relevance  it  could  bring  to  understand  the  linkages  to  an  overall  improvement  of  the  quality  of  life  and  community  healthcare.      The  selected  indicators  from  the  secondary  data  are  presented  in  the  following  categories:    

• Community  Profile  • County  Health  Rankings  

› Health  Outcomes    › Health  Factors  

 Additional  data  and  information  gathered  can  be  consulted  at  all  time  in  the  Web  Repository  (Symbaloo.com/mix/needs)    

Community  Profile    The  community  profile  consists  of  demographic  data  collected  through  the  U.S.  Census  Bureau,  its  recently  released  Census  2010,  the  American  Fact  Finder,  the  Small  Area  Income  and  Poverty  Survey  search  tools.    Other  important  sources  are  the  City  of  Laredo’s  Comprehensive  Annual  Financial  Report  (CAFR)  2010,  the  US  Department  of  Agriculture,  Economic  and  Research  Service.

Exhibit  3.  Indicators  City  of  Laredo  and  Webb  County  

City of Laredo Webb County

1980 1990 2000 2010 2010 Total Population 91,444 129,273 176,576 236,091 250,304 Median Age 23.6 24.7 26.9 26.5 27.8 Age Group:

Youth (under 18) 36,080 47,490 53,190 82,723 88,158 Adults (18-64) 47,480 71,560 109,604 134,764 142,639 Seniors (65 +) 7,884 10,223 13,782 18,604 19,507

Percent Hispanic or Latino 93.03% 93.86% 94.10% 95.62% 95.74%

Poverty Level (%)*

Entire population 30.9%

Under 18 38.2% Source: City of Laredo 2010 CAFR (http://www.txcip.org/tac/census/profile.php?FIPS=48479) *Source: US Dept of Agriculture, Economic Research Service

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The  median  age  in  Webb  County  (27.8  years)  is  considerably  lower  than  that  in  Texas  (33.6)  and  the  US  (37.2)  the  high  concentration  of  younger  population  is  clearly  visualized  through  a  pyramid  shaped  age  distribution  by  gender  chart  (see  Exhibit  4).    For  planning  purposes,  this  large  number  of  young  population  presents  itself  with  definite  opportunities  as  well  as  substantial  challenges  for  the  region.      

Exhibit  4.    Age  Group  Distribution  

 Source: U.S. Census, 2010  Furthermore,  this  is  also  substantiated  in  Exhibit  5.    As  former  US  Census  Administrator  and  University  of  Rice  Professor  Dr.  Steven  Murdock  has  pointed  out  in  numerous  forums,  Texas  current  demographic  dynamics  suggest  that  by  2040  only  two  counties  in  the  entire  State  will  have  a  percentage  below  12%  in  the  65+  age  bracket.    One  of  them  being  Webb  County.  

Exhibit  5.    Percent  of  Persons  Aged  65  Years  and  Older  in  Texas  Counties.

  Source: Texas State Data Center,

-15,000 -10,000 -5,000 0 5,000 10,000 15,000

Under 5 years 5 to 9 years

10 to 14 years 15 to 19 years 20 to 24 years 25 to 29 years 30 to 34 years 35 to 39 years 40 to 44 years 45 to 49 years 50 to 54 years 55 to 59 years 60 to 64 years 65 to 69 years 70 to 74 years 75 to 79 years 80 to 84 years

85 years and over

12,307 13,060

12,255 11,887

9,079 8,584 8,506 8,583

7,706 6,836

6,059 4,678

3,918 2,777

2,009 1,441

1,032 771

-12117.00 -12184.00

-11774.00 -11499.00

-9271.00 -9053.00 -9013.00

-9480.00 -8563.00

-7580.00 -6760.00

-5480.00 -4565.00

-3474.00 -2709.00

-2044.00 -1725.00 -1525.00

Age Pyramid Webb County

Female population Male population

2000 2040

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County  Health  Rankings    Based  on  the  county  health  rankings  model,  Webb  County  is  ranked  30  among  223  counties  in  Texas  that  are  part  of  the  study.    See  Exhibit  13  for  the  full  ranking  details.    By  breaking  down  the  rankings,  these  are  some  of  the  details  that  stand  out:    

Health  Outcomes    While  Webb  ranks  21  in  terms  of  mortality,  considering  premature  deaths  (under  75  years),  it  is  number  93  in  morbidity,  an  indicator  that  measures  how  healthy  people  are  while  alive  (Refer  to  Exhibit  6).      The  latter  is  primarily  a  result  a  28%  of  adults  reporting  fair  or  poor  health  in  comparison  to  a  19%  and  10%  in  Texas  and  the  US  respectively.        The  Texas  State  Data  Center  has  released  projections  for  diabetes  incidence  and  Webb  County  is  expected  to  experience  a  243%  increase  over  the  2000-­‐2040  period  creating  a  greater  demand  for  care  services  and  potentially  increasing  both  morbidity  and  mortality  levels.  (See  Exhibit  7)      

Exhibit  6.  Webb  County  Health  Outcomes  

Webb

County Error

Margin National

Benchmark* Texas

Rank (of 223)

Health Outcomes 30 Mortality 21

Premature death 6,468 6,105-6,831 5,564 7,289 Morbidity 93

Poor or fair health 28% 22-34% 10% 19% Poor physical health days 3.7 2.5-4.8 2.6 3.6 Poor mental health days 2.9 2.0-3.7 2.3 3.3 Low birthweight 7.3% 7.0-7.5% 6.0% 8.1%

 

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Exhibit  7.    Diabetes  

 http://txsdc.utsa.edu/download/pdf/diabetes/Summary_Report_Diabetes.pdf  

Health  Factors    Health  factors  are  made  out  of  those  variables  that  impact  the  health  of  a  county  (Exhibit  8).    In  this  case,  Webb  County  ranks  217of  223  counties,  well  below  its  ranking  (21st  place)  in  health  outcomes.      As  we  look  in  depth,  the  poor  ranking  is  resulting  from  the  following  individual  rankings:    › Health  Behaviors  189;  › Clinical  Care  216;  › Social  &  Economic  factors  200;  and  › Physical  Environment  59.  

Exhibit  8.  Webb  County  Health  Factors  

Webb County Error Margin National

Benchmark* Texas RANK(of 223)

Health Factors 217 Health Behaviors 189

Adult smoking 21% 15-29% 15% 19% Adult obesity 28% 23-35% 25% 27% Excessive drinking 24% 17-33% 8% 16% Motor vehicle crash death rate 11 9-13 12 17 Sexually transmitted infections 383 83 422 Teen birth rate 107 104-110 22 64

Clinical Care 216 Uninsured adults 48% 44-53% 13% 30% Primary care physicians 1,843:1 631:1 1,050:1 Preventable hospital stays 98 95-102 52 80

0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000

Diabetes 2010

Diabetes 2020

Diabetes 2030

Diabetes 2040

Diabetes Incidence Projections

Webb County

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Diabetic screening 79% 74-85% 89% 80% Mammography screening 48% 42-54% 74% 59%

Social & Economic Factors 200 High school graduation 70% 92% 72% Some college 47% 68% 55% Unemployment 8.7% 8.5-8.8% 5.3% 7.6% Children in poverty 35% 31-40% 11% 23% Inadequate social support 22% 16-30% 14% 23% Children in single-parent households

36% 20% 32%

Violent crime rate 580 100 512 Physical Environment 59

Air pollution-particulate matter days 0 0 1 Air pollution-ozone days 0 0 18 Access to healthy foods 71% 92% 62% Access to recreational facilities 4 17 7

Source: The County Health Rankings, http://www.countyhealthrankings.org/texas/webb *90th percentile, i.e., only 10% are better Note: Blank values reflect unreliable or missing data

 

› Health  Behaviors    Factors  such  as  smoking  and  obesity  are  marginally  above  state  levels,  however,  drinking  is  significantly  higher  with  a  24%  in  comparison  with  a  16%  statewide  and  8  %  nationwide.    Both  sexually  transmitted  infections  and  motor  crash  deaths  rate  are  inferior  to  that  of  the  state.    

› Clinical  care    Alarmingly,  clinical  care  is  below  the  5th  percentile,  thus  affecting  Webb’s  overall  ranking.    Reviewing  the  components  that  make  up  this  item,  the  study  shows  that  uninsured  adults  —represented  by  the  percent  of  population  under  age  65  without  health  insurance  reaches  48%  (not  including  underinsured)  compared  to  30%  statewide  and  16.7%1  nationwide.          Exhibit  9  shows  the  percentage  of  uninsured  population  is  distributed  across  age  groups.    This  is  corroborated  by  the  Texas  Comptroller’s  In  Focus  report:  South  Texas  back  in  2008,  “…limited  access  to  health  care  facilities  and  providers,  high  rates  of  the  uninsured  and  a  higher-­‐than-­‐average  prevalence  of  chronic  diseases  such  as  diabetes  pose  difficult  and  expensive  challenges  for  South  Texas  businesses,  their  employees  and  state  and  local  governments…”    

1  http://www.usatoday.com/news/nation/2010-­‐09-­‐17-­‐uninsured17_ST_N.htm  

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Exhibit  9:  Health  Insurance  Coverage-­‐Webb  County  (Uninsured)  Number  of  Uninsured  Residents  

Source: SAHIE//State and County by Demographic and Income Characteristics/2007    Another  vital  statistic  that  cripples  clinical  care  is  the  ratio  of  population  to  primary  care  physicians  (PCPs),  data  shows  a  ratio  of  1,843:1  when  the  State  of  Texas  ratio  is  1,050:1  and  the  national  benchmark  is  631:1.    Added  to  the  scarcity  of  PCPs,  the  ratio  of  mental  health  providers  is  at  12,418:1  versus  3,609:1  in  the  State.    Primary  care  was  also  approached  from  a  different  angle.    In  response  to  the  request  of  the  principal  investigators,  the  three  major  hospitals  and  clinics  were  asked  to  provide  with  data  to  assess  the  volume  of  patients  that  were  served  in  2010  from  surrounding  counties  in  addition  to  Webb  county  population.    The  numbers  in  each  case  do  not  represent  a  significant  proportion  to  the  total  number  of  patients  served.    Refer  to  Exhibit  10.  

Exhibit  10.    Primary  Care  Admissions  by  County  of  Origin  2010.       COUNTY

Laredo Medical Center

COUNTY

Doctor's Hospital COUNTY

Gateway Community Health Center*

WEBB 89.86% WEBB 95.00% WEBB 89.78% ZAPATA 5.84% ZAPATA 2.00% ZAPATA 5.70% JIM HOGG 1.24% JIM HOGG 1.00% JIM HOGG 4.52% OTHER 3.06% LA SALLE 2.00% Total 100.00% 100.00% 100.00% Source: Laredo Medical Center, Doctor’s Hospital, Gateway Community Health Center. *Includes patients from its four sites, therefore it is not representative of patients receiving services in Webb County alone.      

25.41%

27.34% 44.62%

38.73%

0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000 90,000

under 19 years 18-64 years 40-64 years under 65 years

% Uninsured by Age Group Webb County 2007

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› Social  &  Economic  Factors     Even  though  current  high  school  graduation  levels  and  percentage  of  population  with  a  college  level  education  are  only  slightly  below  state  average.  Webb,  as  well  as,  its  border  peers  is  also  challenged  with  a  49%  of  its  population  that  is  not  proficient  in  English,  thus  adding  another  barrier  to  increase  education  levels.    The  urgency  to  turn  education  into  a  catalyst  that  improves  quality  of  life  and  the  community  healthcare  has  never  been  more  present.    With  35.20%  of  the  county’s  population  under  19  years  and  35%  of  children  living  under  poverty  conditions  plus  violent  crime  rate  that  is  13.28%  above  state  average  and  5.8  times  the  national  average,  the  converge  of  these  factors  provide  enough  evidence  to  suggest  the  need  for  action.   Focusing  exclusively  in  higher  education,  the  2-­‐year  and  4-­‐year  college  and  university  were  approached  in  order  to  determine  the  amount  of  students  that  were  served  from  surrounding  counties.      The  data  received  from  the  institutions  also  confirmed  that  while  both  the  Laredo  Community  College  and  Texas  A&M  International  University  are  magnets  to  residents  from  surrounding  counties,  the  number  of  students  is  negligible  relative  to  the  total  number  of  students  enrolled.    See  Exhibit  11.  

 

Exhibit  11.    Higher  Education,  Fall  2010  Enrollment  by  Origin  

• Source: Laredo Community College, Institutional Effectiveness Division; Texas A&M Int’l, Office of the Registrar’s.

96%  

3%   1%  

Laredo Community College!WEBB ZAPATA OTHER

89%  

2%  2%   2%  1%   4%  

Texas A&M International!

WEBB ZAPATA MAVERICK

STARR HIDALGO OTHER

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› Workforce  

In  reviewing  the  projections  from  South  Texas  Workforce  Solutions  (Exhibit  12),  the  designated  workforce  development  board  that  covers  Webb  and  surrounding  Zapata  and  Jim  Hogg  counties,  out  of  the  25  occupations  with  greater  prospects  to  add  more  jobs  into  the  workforce,  we  identify  4  occupations  in  the  healthcare  sector.    These  occupations  stand  out  from  others  in  the  list  given  the  fact  that  they  require  post-­‐secondary  education  and  thus,  are  more  likely  to  offer  better  wage  conditions  and  a  greater  chance  of  career  advancement.  

Exhibit  12.    Job  Growth  by  occupations  2008-­‐2018  

SOUTH TEXAS WORKFORCE DEVELOPMENT AREA

Occupations Adding the Most Jobs

Annual Average

Annual Average

SOC Occupation Employment

Number

Growth Job Openings

Code Title 2008 2018 Change Rate Growt

h Replacem

ent Total

Total, All Occupations 104,200 126,140 21,940 21.1% 2,230 2,385 4,615

39-9021 Personal & Home Care Aides 2,430 3,630 1,200 49.4% 120 30 150 31-1011 Home Health Aides 2,010 3,180 1,170 58.2% 115 20 135

35-3021 Combined Food Preparation & Serving Wkrs, Inc. Fast Food 2,580 3,590 1,010 39.1% 100 55 155

25-2021 Elementary School Teachers, Ex. Special Education 2,480 3,350 870 35.1% 85 55 140 53-3032 Truck Drivers, Heavy & Tractor-Trailer 3,740 4,480 740 19.8% 75 65 140 41-2031 Retail Salespersons 4,240 4,900 660 15.6% 65 120 185 33-3021 Detectives & Criminal Investigators 1,430 1,990 560 39.2% 55 30 85 41-2011 Cashiers 3,260 3,790 530 16.3% 55 145 200 43-5011 Cargo & Freight Agents 1,060 1,580 520 49.1% 50 25 75 29-1111 Registered Nurses 1,380 1,860 480 34.8% 50 25 75 43-4051 Customer Service Representatives 1,770 2,220 450 25.4% 45 55 100

25-2031 Secondary School Teachers, Ex. Special & Vocational Education 1,610 2,040 430 26.7% 45 45 90

25-2022 Middle School Teachers, Ex. Special & Vocational Education 1,240 1,660 420 33.9% 45 30 75

35-3031 Waiters & Waitresses 1,640 2,050 410 25.0% 40 90 130

13-1041 Compliance Officers, Ex. Agriculture, Construction, Health & Safety, & Transportation 1,010 1,420 410 40.6% 40 10 50

43-9061 Office Clerks, Genera l 2,000 2,360 360 18.0% 35 25 60 25-9041 Teacher Assistants 1,310 1,650 340 26.0% 35 30 65 31-1012 Nursing Aides, Orderlies, & Attendants 910 1,240 330 36.3% 30 10 40 39-9011 Child Care Wkrs 1,150 1,420 270 23.5% 25 35 60 43-5081 Stock Clerks & Order Fillers 1,400 1,650 250 17.9% 25 30 55

43-1011 First-Line Supervisors/Managers of Office & Administrative Support Wkrs 1,320 1,560 240 18.2% 25 30 55

41-1011 First-Line Supervisors/Managers of Retail Sales Wkrs 1,620 1,840 220 13.6% 25 35 60 29-2061 Licensed Practical & Licensed Vocational Nurses 680 890 210 30.9% 20 20 40 43-3031 Bookkeeping, Accounting, & Auditing Clerks 1,220 1,420 200 16.4% 20 15 35

35-1012 First-Line Supervisors/Managers of Food Preparation & Serving Wkrs 710 910 200 28.2% 20 5 25

Source: South Texas Workforce Solutions. Labor Market Information. http://www.tracer2.com/?PAGEID=94&SUBID=114

     

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› Physical  environment    Webb  ranks  59  in  this  category  where  air  pollution  is  an  indicator  but  does  not  constitute  a  major  factor.    This  can  be  attributable  to  a  local  economy  that  is  concentrated  in  agricultural,  mining  and  service  sectors.      Another  factor  is  access  to  healthy  foods  where  Webb  stands  above  the  State  (62%)  with  a  71%  of  its  zip  codes  with  a  healthy  food  outlet  (i.e.  grocery  store  or  produce  stands/farmers’  market).    One  final  factor  in  this  category  is  access  to  recreational  facilities.  While  the  State  of  Texas  has  7  facilities  per  100,000-­‐population  Webb  County  has  only  4  facilities.    This  is  definitely  the  weakest  factor  in  the  category.                                                                            

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Exhibit  13.    Webb  County  -­‐  Texas  Health  Ranking  

Webb

County Error

Margin National

Benchmark* Texas

Rank (of 223)

Health Outcomes 30 Mortality 21

Premature death 6,468 6,105-6,831 5,564 7,289 Morbidity 93

Poor or fair health 28% 22-34% 10% 19% Poor physical health days 3.7 2.5-4.8 2.6 3.6 Poor mental health days 2.9 2.0-3.7 2.3 3.3 Low birthweight 7.3% 7.0-7.5% 6.0% 8.1%

Health Factors 217 Health Behaviors 189

Adult smoking 21% 15-29% 15% 19% Adult obesity 28% 23-35% 25% 27% Excessive drinking 24% 17-33% 8% 16% Motor vehicle crash death rate 11 9-13 12 17 Sexually transmitted infections 383 83 422 Teen birth rate 107 104-110 22 64

Clinical Care 216 Uninsured adults 48% 44-53% 13% 30% Primary care physicians 1,843:1 631:1 1,050:1 Preventable hospital stays 98 95-102 52 80 Diabetic screening 79% 74-85% 89% 80% Mammography screening 48% 42-54% 74% 59%

Social & Economic Factors 200 High school graduation 70% 92% 72% Some college 47% 68% 55% Unemployment 8.7% 8.5-8.8% 5.3% 7.6% Children in poverty 35% 31-40% 11% 23% Inadequate social support 22% 16-30% 14% 23% Children in single-parent households

36% 20% 32%

Violent crime rate 580 100 512 Physical Environment 59

Air pollution-particulate matter days 0 0 1 Air pollution-ozone days 0 0 18 Access to healthy foods 71% 92% 62% Access to recreational facilities 4 17 7

Source: The County Health Rankings, http://www.countyhealthrankings.org/texas/webb *90th percentile, i.e., only 10% are better Note: Blank values reflect unreliable or missing data

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CONCLUSION    The  data  gathering  efforts  and  involvement  in  the  various  stakeholder  meetings  revealed  that:    • The  network  of  NGOs  (i.e.  non-­‐governmental  organizations,  non  profits,  stakeholders)  has  

good  collaborative  rapport.      It  also  surfaced  that  such  rapport  could  be  translated  into  good  practices  such  as  quantitative  documentation  of  each  member’s  contributions  to  the  community  as  well  as  the  creation  of  formats  to  aggregate  such  information  and  make  it  more  reliable  and  meaningful.      

• Out  29  organizations  that  were  approached  with  requests  for  information  only  7  responded.  From  those,  2  lacked  any  statistical  and  operational  information  while  the  remaining  5  partially  provided  it.        

• While  organizations  compete  for  the  same  sources  of  funding,  it  is  the  search  for  new  ones  and  those  requiring  partnerships  where  the  network  can  result  in  win-­‐win  situations.      

 Data  analyzed  revealed  the  following  conditions:    • The  Laredo  /  Webb  County  faces  unique  opportunities  and  challenges  given  its  demographic  

composition  and  growth.        • It  has  grown  at  a  faster  pace  than  its  infrastructure.    Population  exceeds  the  available  supply  

of  primary  care  services.    • Uninsured  population  under  65  years  at  almost  50%  limits  the  ability  for  the  healthcare  

system  to  be  more  efficient.    • Socio-­‐economic  factors  such  as  education  and  jobs  are  particularly  dormant  and  are  limiting  

the  chances  for  growth  and  development,  allowing  for  high  percentage  in  both  factors,  children  in  poverty  and  violent  crime  rate.  

 The  consultant  recommends  that:    • Given  the  level  of  collaboration  and  participation  from  NGOs  as  well  as  the  leadership  of  

AHEC/UTHSC  and  the  expertise  from  the  City  of  Laredo  Health  Department  plus  a  very  responsive  and  engaged  University  (TAMIU),  there  are  grounds  to  strengthen  synergies  and  nurture  better  data  systems  that  can  track  and  assist  healthcare  initiatives  and  programs  across  the  region.  

 • AHEC,  as  the  node  of  the  healthcare  network,  maintains  and  improves  the  web  repository  as  

a  single  go-­‐to  mechanism  to  keep  all  stakeholders  abreast  of  new  and  updated  data  that  is  generated  externally  (secondary)  as  well  as  any  information,  which  could  be  shared  among  the  community.  

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• Migration  and  cross-­‐border  healthcare  be  considered  a  potential  topics  for  future  research  

or  study.