PPT - Arizona Coalition to End Homelessness

Homelessness Data – Informing, Illuminating, and
Sometimes Infuriating…
AZCEH Statewide Conference to End Homelessness
October 7, 2015
Examples and
Challenges
Kelli Donley
Dawn Noggle
What do the
Numbers Show?
Eric Hedberg
Melissa Kovacs
Data and
Performance
Margaret Kilman
Show me the data!
KELLI M. DONLEY
ARIZONA DEPARTMENT OF HEALTH
SERVICES
Data we have
 Housing wait lists from the regional behavioral
health authority
 Permanent supportive housing codes – who is
accessing these services
Data we need
 How many apartments are available?
 How many individuals are willing to live paired?
 How long is the wait time for other housing
vouchers?
Specific Project Example
 Victory Place
 30 SMI vouchers for a new 90 unit project
 Coordination of care
 Concerns:
HIPAA
 Billing
 Integration of care
 Duplication of services

Data usage in the Maricopa County Jail System
Dawn Noggle, Ph.D.
Maricopa County Correctional Health Services
• Data usage to triage in a high volume jail – prioritizing
Examples andtreatment according to safety;
Challenges
• Building data collection into existing processes to better
do the within the County’s jail
understandWhat
homelessness
Numbers Show?
population;
• Using data (via electronic health records) to make
programming decisions;
• Using electronic health record data to address compliance,
i.e. accreditation and law suits.
Examining the HMIS Data System
for the Human Services Campus
E. C. Hedberg, PhD
Assistant Professor, Arizona State
University
Senior Fellow, Morrison Institute
Eric’s full s
soon HERE
What do we know about LDRC Welcome
Center clients?
Vulnerabilities
Age
Disabilities
Frequently homeless
All data from: VI-SPDAT Data of LDRC Welcome Center Clients,
September 2013 – June 2015
Melissa Kovacs, Ph.D.
LDRC Welcome Center Clients:
Vulnerabilities
https://magic.piktochart.com/output/7037710-ldrc-vi-spdat-data
Examples and
Challenges
What do the
Numbers Show?
How old are Welcome Center clients, and what is
their homelessness experience?
43.8% of Welcome Center clients are between the ages of 45 and 61,
and 6.2% of clients are 62 and older.
~~~
Up to 44 Years Old:
What is the total
length of time you
have lived on the
streets or in
shelters?
45 – 61:
32.8%
43.4%
(Percent reporting
two or more years)
62 and Older:
Two or More Years
FirstEval
Less than Two Years
45.6%
Has the Number of Older Clients Varied Over
Time?
400
350
300
250
200
150
100
50
0
SEP OCT NOV DEC JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC JAN FEB MAR APR MAY JUN
2013 2013 2013 2013 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2015 2015 2015 2015 2015 2015
45-61
62 and Older
FirstEval
LDRC Welcome Center Clients:
Disabilities
Among all Welcome Center clients in a recent 21-month
Examples and
period
(n=10,508) …
Challenges
do the
• 29% have ever had aWhat
serious
brain injury or head trauma;
Numbers Show?
• 27% have ever been told they have a learning disability or
developmental disability;
• and 47% have problems concentrating and remembering
things.
FirstEval
LDRC Welcome Center Clients:
Frequent Homelessness
These slides report on “frequent homelessness” as
EITHER having spent 2 or more years on the streets or in
shelters OR having had four or more homelessness
episodes in the last three years.
FirstEval
Use of community resources is significantly higher
among the frequently homeless
54.5%
Been to the ER in the last six months
46.4%
Had an interaction with the police in the
last six months
42.0%
34.9%
Been hospitalized as an in-patient,
including mental health, in the last six
months
31.1%
22.6%
29.5%
Been taken to the hospital in an
ambulance in the last six months
21.5%
25.1%
19.3%
Used a crisis service in the last six months
Frequent
FirstEval
Not Frequent
All differences are statistically significantly different at the α=.05 level.
Drug or alcohol use and abuse is significantly higher
among the frequently homeless
63.3%
Ever had problematic drug or alcohol use
or abused drugs or alcohol
Surveyor observed signs or symptoms of
problematic alcohol or drug abuse
Consumed alcohol or drugs almost every
day for the last month
Frequent
FirstEval
44.5%
18.8%
8.6%
15.4%
9.5%
Not Frequent
All differences are statistically significantly different at the α=.05 level.
Mental health issues are significantly more prevalent
among the frequently homeless
37.2%
Ever experienced trauma in lifetime
26.2%
36.2%
Ever had a serious brain injury or head
trauma
24.0%
34.0%
Ever gone to the ER because not feeling
well emotionally
22.9%
21.6%
Ever been taken to a hospital against will
for a mental health reason
Frequent
FirstEval
13.5%
Not Frequent
All differences are statistically significantly different at the α=.05 level.
Harm and attacks are significantly more prevalent
among the frequently homeless
35.0%
Ever been attacked or beaten up since
becoming homeless
Ever threatened to or tried to harm self or
others in the past year
Somebody forces them or tricks them into
doing things they do not want to do
Frequent
FirstEval
15.1%
17.9%
11.4%
12.4%
7.9%
Not Frequent
All differences are statistically significantly different at the α=.05 level.
Data and Performance
Margaret Kilman
Maricopa County Human Services
Challenges and opportunities for agencies, funders and systems.
Margaret’
coming so