absence reasons study amy wiseman, susan dawson, mohan rao 06/11/13 health & community student...
TRANSCRIPT
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Absence Reasons Study
Amy Wiseman, Susan Dawson, Mohan Rao 06/11/13
Health & Community
Student Attendance
Academic Achievement
Individual, Family
Outcomes
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Summit Agenda• Introductions• Attendance in Central Texas• Absence Reasons Study methods• High level findingsDiscussion of high level findings• Detailed findings for actionDiscussion of potential community actions• Share ‘big ideas’ and next steps
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E3 Alliance uses objective data and focused community collaboration to align our education
systems so all students succeed and lead Central Texas to economic prosperity
Mission
E3 Alliance is a Catalyst For Educational Change in Central Texas
E3 serves as the Central Texasregional P-16 Council
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MISSION AND PURPOSE
COH enables communities to visualize the health of their neighborhoods, identify assets and needs, unearth and nurture opportunities for collaborative change and monitor outcomes over time through GIS mapping and related analysis applied to public and privately held data sets.
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THANK YOU COH Board of Directors
Seton Healthcare Family*
St. David’s Foundation*
Central Health*
University of Texas*
Lone Star Circle of Care*
City of Austin*
Austin Independent School District
H-E-B*
Early Childhood Community
E3 Alliance
Lifeworks
Housing Authority of the City of Austin
Communities in Schools of Central Texas
* Denotes funding member
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THANKS!
Aliya HussainiBrenda RichmondEllen RichardsEric MetcalfElsa HinojosaFreddie McFarlandJesse SimmonsJohn-Michael CortezKatherine WrightLynda Acosta
Maureen BrittonRachel LadovRosamaria MurilloRuth RobertsSally FreemanSari McCoySusan MilleaStephen PontTracy Diggs LunoffTodd Hemingson
Advisory Board Members:
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MISSING SCHOOL MATTERS
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Background• E3 Alliance spearheading regional approach to
increase student attendance• Have better descriptive data than ever before• Community awareness campaign underway• Far too little objective data to target systems
changes• Have worked with schools, health community to
design ground-breaking absence reasons study
© 2013 E3 Alliance
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Early Successes• Missing School Matters Campaign branded,
supplied, launched– Aligned with AARO CAT Committee– And new MSM Taskforce
• Get Schooled Challenge in 20 schools– 5 schools in Top 25 Nationwide– Stony Point HS Nationwide winner
• Goal: 2 percentage point improvement in attendance by 2014₌ Improved student achievement₌ $34M to Central Texas schools
© 2013 E3 Alliance
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Virtuous or Vicious Cycle?
Health & Community
Student Attendance
Academic Achievement
Individual, Family
Outcomes
Have Data Significant national studies
Need better information to make better decisions and allocate services & resources better
© 2013 E3 Alliance
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ATTENDANCE IN CENTRAL TEXAS
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Over 300,000 Students in Central Texas
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2.4 MillionStudent Absences in
Central Texas per Year
Source: E3 Alliance analysis of PEIMS data at UT Education Research Center; 2010-2011 school year. © 2013 E3 Alliance
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Central Texas has More Absences than Texas on Average at Every Grade
Source: E3 Alliance analysis of PEIMS data at UT Education Research Center. © 2012 E3 Alliance
KG 1 2 3 4 5 6 7 8 9 10 11 120
2
4
6
8
10
12
14
Absences in 2009-10
Central TexasTexas
Grade
Aver
age
Day
s Ab
sent
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Poorest Students Have Much Higher Absenteeism
Source: E3 Alliance analysis of PEIMS data at UT Education Research Center.
Non-Low Income Free Lunch0
2
4
6
8
10
12
14
16
18
57
10
16
12
16
8
15
Absences Central Texas High Schools, 2009-10
Asian Black Hispanic White
Aver
age
Day
s Ab
sent
© 2013 E3 Alliance
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Graduation Rates for Low Income Students in Central Texas Consistently Lower than in Texas
2003 2004 2005 2006 2007 2008 2009 20100%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Central Texas - Not Low Income
Texas - Not Low Income
Central Texas - Low Income
Texas - Low Income
Source: E3 Alliance analysis of high school graduation data at the UT Educational Resource Center
© 2013 E3 Alliance
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Central Texas Low Income Graduation Rates Among Lowest in State
2003 2004 2005 2006 2007 2008 2009 201055%
60%
65%
70%
75%
80%
Texas San Antonio Rio Grande ValleyHouston El Paso DallasCentral Texas
Source: E3 Alliance analysis of high school graduation data at the UT Educational Resource Center
© 2013 E3 Alliance
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Average Absences for Low Income Students in Central Texas Higher than in Texas
Not Low Income Low Income0
2
4
6
8
10
12
14
8
11
8
13
Texas Central TexasGrade Level
Ave
rag
e D
ays
Ab
sen
t
Average Number of Absences by Grade and Economic Status, 2011-12
Source: E3 Alliance analysis of PEIMS data at the UT Educational Resource Center © 2013 E3 Alliance
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Average Absences for Low Income Students in Central Texas Higher than in Texas
Not Low Income Low Income0
2
4
6
8
10
12
14
8
11
8
13
Texas Central TexasGrade Level
Ave
rag
e D
ays
Ab
sen
t
Average Number of Absences by Grade and Economic Status, 2011-12
Source: E3 Alliance analysis of PEIMS data at the UT Educational Resource Center © 2013 E3 Alliance
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What We Know• Students miss far too much school• Low Income students miss more in Central
Texas• Missing school correlates directly with poor
academic outcomes and with higher BMI• Where overall absenteeism is geographically
• Which students miss school why, with what frequency, where
What We Don’t Know
© 2013 E3 Alliance
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What We Don’t Know…• How many students miss because of illness?• Which students miss because of chronic
versus acute illness?• What percent of absences are asthma or
diabetes related?• How do health-related absences relate to
other at-risk factors, such as teen pregnancy?• Are there demographic or geographic patterns
related to different types of absences?
© 2013 E3 Alliance
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Reason Code Study: The Bottom Line
First of its kind study in the state (maybe US?)Data to drive regional decision-making
How health and community systems interact with student attendance and achievement
Direct benefit to participating schoolsDesigned to be representative of regional population
to benefit whole district, Central Texas regionFunded by St. David’s Foundation, Central Health
© 2013 E3 Alliance
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ABSENCE REASONS STUDY METHODS
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Key Research Questions
1. What reasons for student absences do we see and what is their prevalence for Central Texas students?
2. Are there different reasons why different student groups are absent?
3. What other health, geographic, and “at-risk” factors are associated with different absence reasons and might influence community decisions about interventions?– e.g. neighborhood, availability of medical and dental services,
etc.
© 2013 E3 Alliance
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Design of Absence Reasons Study• Conducted national literature review on
reasons for absence• Determined original research needed
– This study is first of its kind nationally!• Developed absence reasons based on lit review
and local discussion (see handouts) • Chose districts and schools to be
demographically representative of region– 9 schools (5 ES, 2 MS, 2 HS) in 2 Districts
© 2013 E3 Alliance
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Absence Reasons Study Participation
• Trained study personnel to collect detailed codes with consistency
• Proactively introduced study to parents – Parents reached for 93% of absences– Only 0.5% of parents (1 in 200) opted out
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Study Limitations• Answers about absence reasons
Parent self-report of reasonOR Coding personnel interprets parent description and determines code
• Do not know if parents sharing real reason
© 2013 E3 Alliance
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DEMOGRAPHICS AND DISTRICT COMPARISON
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Student Demographics
• 8959 students• 50% Low Income – exact same as region• Ethnic breakdown
• 42% At-risk – region 39%– PISD 15% more students At-risk
© 2013 E3 AllianceSource: E3 Alliance analysis of PISD & HCISD demographic data for 2012-13
Study Sample Region
Asian 4% 4%
Black 16% 9%
Hispanic 53% 47%
White 27% 40%
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3536373839404142434445464748495051 2 3 4 5 6 7 8 9 1012130
50
100
150
200
250
300
350Absences By Week August – March for 2012-13
HCISD PISD
Week of the Year
Ave
rag
e #
Ab
sen
ces
Per
Day
August March
Source: E3 Alliance analysis of Absence data from 9 schools inPISD & HCISD August through March 2012-13 © 2013 E3 Alliance
Absences over Time Remarkably Similar Across Districts
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3536373839404142434445464748495051 2 3 4 5 6 7 8 9 1012130
50
100
150
200
250
300
350Absences By Week August – March for 2012-13
HCISD PISD
Week of the Year
Ave
rag
e #
Ab
sen
ces
Per
Day
August MarchStudy Period
Source: E3 Alliance analysis of Absence data from 9 schools inPISD & HCISD August through March 2012-13 © 2013 E3 Alliance
Absences over Time Remarkably Similar Across Districts
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Hays and Pflugerville have Similar Proportions of Absence Reasons
• Absence reasons were consistent across both districts– However more asthma and skipping in PISD– Some differences between middle schools
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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STUDY ABSENCES AND REASONS
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16,800Student Absences in
9 Schools Across 8 Weeks
© 2013 E3 AllianceSource: E3 Alliance analysis of absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13
Does not include time out of class related to school events or on site at another campus
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Top 10 Reasons for Absence: 72% of Absences
Family Responsibility
Suspension (not ISS)
Mental Health Issue
Travel
Preventative Medical
Routine Dental Appt
Family Emergency
Chronic Illness Comb.
Skipping
Acute Illness
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
1%
1%
2%
2%
2%
3%
4%
4%
5%
48%
% of Absences by Absence Reason
(751)
(707)
(654)
(465)
(352)
(326)
(254)
(247)
(173)
Source: E3 Alliance analysis of absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
(8124)
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Less Common Reasons Are 4% Combined(630 Absences Total)
© 2013 E3 AllianceSource: E3 Alliance analysis of absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13
• Family Logistics• Asthma• College Visit• Transportation Issue• Court/Legal• Dental Treatment• Student’s Child Sick
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Rare Absence Reasons (200 Absences Total)
• Diabetes• School Refusal• Missed Bus• Obtain Driver’s License• Runaway• Join Military• Dental Pain• At Work
Source: E3 Alliance analysis of absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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DISCUSSION OF OVERALL FINDINGS
Family Responsibility
Suspension (not ISS)
Mental Health Issue
Travel
Preventative Medical
Routine Dental Appt
Family Emergency
Chronic Illness Comb.
Skipping
Acute Illness
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
1%
1%
2%
2%
2%
3%
4%
4%
5%
48%
Percentage of Absences by Absence Reason
© 2013 E3 AllianceSource: E3 Alliance analysis of absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13
• How aware were you of the importance of attendance for student success?
• Were you aware of how varied absence reasons are?
• What findings were most surprising?
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DETAILED FINDINGS
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Medical Absences More Variable Than Non-Medical Absences Over Time
14-J
an
17-J
an
20-J
an
23-J
an
26-J
an
29-J
an
1-Feb
4-Feb
7-Feb
10-F
eb
13-F
eb
16-F
eb
19-F
eb
22-F
eb
25-F
eb
28-F
eb
3-M
ar0
200
400
600
800
1000
1200
1400
1600
1800
2000
Medical Non-medical
Study Week
Nu
mb
er o
f S
tud
ents
Ab
sen
t
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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Acute Illnesses Match Overall Absence Pattern
3536373839404142434445464748495051 2 3 4 5 6 7 8 9 1012130
50
100
150
200
250
300
350Absences By Week August – March for 2012-13
HCISD PISDHCISD Acute Illness PISD Acute Illness
Week of the Year
Ave
rag
e #
Ab
sen
ces
Per
Day
August MarchStudy Period
Source: E3 Alliance analysis of Absence data from 9 schools inPISD & HCISD August through March 2012-13 © 2013 E3 Alliance
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Acute Illnesses Match Overall Absence Pattern
3536373839404142434445464748495051 2 3 4 5 6 7 8 9 1012130
50
100
150
200
250
300
350Absences By Week August – March for 2012-13
HCISD PISDHCISD Acute Illness PISD Acute Illness
Week of the Year
Ave
rag
e #
Ab
sen
ces
Per
Day
August MarchStudy Period
Source: E3 Alliance analysis of Absence data from 9 schools inPISD & HCISD August through March 2012-13 © 2013 E3 Alliance
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MEDICAL ABSENCESAction-Oriented Findings
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Average Medical Absences Per Student Varies by Medical Issue
© 2013 E3 Alliance
Absence Type
Number of Students
Number of Absences
Average Absences/ Student
Notes
Acute Illness 3603 8124 2.3
Chronic Illness (not Asthma)
266 707 2.76 students account for 29% of absences
Asthma 83 127 1.5 Majority in PISD
Mental Health (non-crisis)
80 254 3.2
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13
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Proportion of Absences Treated Varies by Absence Type
Health-related Overall
Acute Illness Chronic Illness
Asthma0%
20%
40%
60%
80%
100%
59% 51%72%
44%
41% 49%28%
56%
Proportion Health Absences Treated vs. Not Treated
Treated Not Treated
Pro
po
rtio
n o
f A
bse
nce
s
(5759)
(3954)
(3844)
(3672)
(467)
(180)
(51)
(64)
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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Proportion of Absences Treated Varies by Absence Type
Health-related Overall
Acute Illness Chronic Illness
Asthma0%
20%
40%
60%
80%
100%
59% 51%72%
44%
41% 49%28%
56%
Proportion Health Absences Treated vs. Not Treated
Treated Not Treated
Pro
po
rtio
n o
f A
bse
nce
s
(5759)
(3954)
(3844)
(3672)
(467)
(180)
(51)
(64)
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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Proportion of Absences Treated Varies by Absence Type
Health-related Overall
Acute Illness Chronic Illness
Asthma0%
20%
40%
60%
80%
100%
59% 51%72%
44%
41% 49%28%
56%
Proportion Health Absences Treated vs. Not Treated
Treated Not Treated
Pro
po
rtio
n o
f A
bse
nce
s
(5759)
(3954)
(3844)
(3672)
(467)
(180)
(51)
(64)
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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Proportion of Absences Treated Varies by Absence Type
Health-related Overall
Acute Illness Chronic Illness
Asthma0%
20%
40%
60%
80%
100%
59% 51%72%
44%
41% 49%28%
56%
Proportion Health Absences Treated vs. Not Treated
Treated Not Treated
Pro
po
rtio
n o
f A
bse
nce
s
(5759)
(3954)
(3844)
(3672)
(467)
(180)
(51)
(64)
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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If Not Treated, Why Not?For health absences that were not treated:• For 96%, parents said treatment not needed• For 2%, parents said reason was no insurance
or cost• For 2%, parents said it was for other reason
– Problem being seen– Transportation problem– Hours/Scheduling problem
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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NON-MEDICAL ABSENCESAction-Oriented Findings
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Family Related Absences Vary by Gender
Family Emergency Family Responsibility Family Logistics0%
20%
40%
60%
80%
100%
53%58%
34%
47%42%
66%
Family Related Absences by Gender
FemaleMale
Absence Type
Per
cen
t o
f A
bse
nce
Typ
e
(335)
(293)
(96)
(47)
(90)
(69)
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Family Related Absences Vary by Gender
Family Emergency Family Responsibility Family Logistics0%
20%
40%
60%
80%
100%
53%58%
34%
47%42%
66%
Family Related Absences by Gender
FemaleMale
Absence Type
Per
cen
t o
f A
bse
nce
Typ
e
(335)
(293)
(96)
(47)
(90)
(69)
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Family Related Absences Vary by Gender
Family Emergency Family Responsibility Family Logistics0%
20%
40%
60%
80%
100%
53%58%
34%
47%42%
66%
Family Related Absences by Gender
FemaleMale
Absence Type
Per
cen
t o
f A
bse
nce
Typ
e
(335)
(293)
(96)
(47)
(90)
(69)
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High Proportion of Disadvantaged Students
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
Low Income At-Risk0%
20%
40%
60%
80%
100%
50%42%
Percent of Study Sample by Disadvantage Type
Per
cen
t o
f S
tud
y S
amp
le
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Family Related Absences More Disadvantaged Students
Low Income At Risk0%
20%
40%
60%
80%
100%
55%
65%67%
80%
65%69%
Disadvantage by Family Related Absences
Family Emergency Family responsibility Family Logistics
Per
cen
t o
f A
bse
nce
s
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
% of Students
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Family Related Absences More Disadvantaged Students
Low Income At Risk0%
20%
40%
60%
80%
100%
55%
65%67%
80%
65%69%
Disadvantage by Family Related Absences
Family Emergency Family responsibility Family Logistics
Per
cen
t o
f A
bse
nce
s
% of Students
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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More Skipping in 9th and 12th Grade
9 10 11 120
50
100
150
200
250
188
130111
207
Skipping Absences by Grade in High School
Grade
Nu
mb
er o
f A
bse
nce
s
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
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Most of Skipping by At-Risk Students
Special Ed-ucation
English Language Learner
Males Low Income At Risk0%
20%
40%
60%
80%
100%
23% 24%
61% 62%
86%
Skipping Absences by Demographic Subgroup
Per
cen
t o
f S
kip
pin
g A
bse
nce
s
Source: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
% of Students
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DEMOGRAPHIC SUB-GROUPS AND TYPICAL ABSENCE TYPES
Action-Oriented Findings
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Low Income Students Have More than Their Share of Non-Medical Absences
Court/Legal
Skipping
Transportation Issue
Family Responsibility
Student's Child Sick
Dental Treatment
Mental Health
Asthma
Chronic Illness
All Absences
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% of Absences by Reason for Low Income Students
Percent of Absences from Low Income StudentsSource: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
% of Low Income Students
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At-Risk Students Have More than Their Share of Absences for Many Reasons
Court/Legal
Skipping
Transportation Issue
Family Responsibility
Student's Child Sick
Dental Treatment
Mental Health
Asthma
Chronic Illness
All Absences
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% of Absences by Reason for At-Risk Students
Percent of Absences from At-Risk StudentsSource: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
% of At-Risk Students
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Chronic Absenteeism Worst in High School
Elementary School
Middle School High School Overall0%
2%
4%
6%
8%
10%
12%
5%
6%
11%
8%
Chronic Absenteeism (Absent 10%+ Days), 2012-13
Per
cen
tag
e o
f S
tud
ents
Source: E3 Alliance analysis of Absence data from 9 schools inPISD & HCISD August through March 2012-13 © 2013 E3 Alliance
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Chronically Absent Students Have Far More than Their Share of Absences
Court/Legal
Skipping
Transportation Issue
Family Responsibility
Student's Child Sick
Dental Treatment
Mental Health
Asthma
Chronic Illness
All Absences
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
% of Absences by Reason for Chronically Absent
Percent of Absences from Chronically Absent StudentsSource: E3 Alliance analysis of Absence data from 9 schools in PISD & HCISD, 1/14/13-3/8/13 © 2013 E3 Alliance
% of Chronically Absent Students
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SUMMARY AND CONCLUSIONS
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Overall Conclusions• Nearly half of absences due to acute illness• Geographical location of hotspots vary widely by absence
reason• Amount of health related absences over time vary with
acute illness outbreaks• Amount of non-health related absences relatively
consistent over time• % of health-related absences where student receiving
treatment depends on absence reason
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Overall Conclusions• % of absences mostly in proportion to % of population for
– School district membership (but asthma in Pflugerville)– Special education status– English Language Learner status (except skipping)
• % of absences mostly disproportionate to % of population for – Chronic absenteeism– Gender– Income status– At-risk status– School level– Ethnicity (only for some absence reasons)
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Conclusions Populations to concentrate community services
– Low income and students at-risk of dropping out– 9th to 10th graders and grades leading up to those– Students with chronic absenteeism in any grade
Absence reasons to concentrate community services– Chronic Illness– Skipping– What else?
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DISCUSSION AND ACTION PLANNING
In your issue area, what specific actions can we take as a community to decrease absenteeism, impacting both student achievement and family health? As a table, come up with one “Big Idea” to shareBe ready to report back to the group!!
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Student Health
Student Attendance
Academic Achievement
Individual, Family
Outcomes
The conclusions of this research do not necessarily reflect the opinions or official position of the Texas Education Agency, the Texas Higher Education Coordinating Board, or the State of Texas.