CalWORKs Housing Support Program (HSP) Data Collection Overview
Data Collection, Overview and
Best Practices
CalWORKs Housing Support Program (HSP) Seminar
Sacramento, CA
•
Goals of data collection
•
What data has told us so far about rapid
rehousing and prevention
•
Data sources
•
Common challenges and key strategies
•
Community sharing
Santa Cruz
Fresno
•
Discussion and brainstorming
Discussion Outline
•
Understand how your program is working
•
Provide State with key indicators of impact
# households assisted and characteristics
Assistance provided
Outcomes: where do people exit to? (measure housing
placement or retention)
Length of program duration
Expenditures: amounts and categories
What else? (we’ll discuss shortly)
•
Have ability to do longer-term analysis –
cost
off-sets, returns to homelessness, etc.
Goals
Rapid Rehousing has high rates of initial
exits to housing
•
HPRP rate 84% - higher for families
•
Rapid Rehousing reduces likelihood of returns
to Homelessness
•
GA study found 4.7 times more likely to return
to homelessness if
not rapidly rehoused
•
Rapid Rehousing is typically less expensive than
other homeless services (see next slide)
What data has told us so far…
Cost comparisons: Rapid Re-housing
Prevention assistance also has high reported
success rates
•
Exits to Permanent housing were 88% with HPRP
•
BUT,
can’t prove counterfactual – would they have
become homeless??
•
Research shows that rates of subsequent
homelessness among those seeking prevention
services are typically very low,
whether they are
assisted or not
.
•
Issue of using good targeting and of comparisons….
What data has told us so far…
•
Homeless Management Information Systems
(HMIS)
•
Several different software providers, but with common data standards
–
Characteristics
–
Services provided
–
Length of enrollment
–
Destinations at exit
•
CalWIN, C4, Leader
•
Other public systems (Health Care, Behavioral
Health, Probation, etc.)
•
Provider databases
•
Other??
Data sources
•
Data quality – completeness and accuracy
•
Getting good reports that provide what’s needed
•
Not just averages: ranges, outliers
•
Ability to query, follow up
•
Lack of analytic capacity and/or culture of using
data
•
Data staff that don’t understand program needs
(and visa versa!)
•
Barriers to Data sharing
•
Within programs
•
Across programs and funding sources
Common Challenges
•
Put
data sharing agreements
in place from the get go
•
Make sure clients sign appropriate
releases
•
Define key pieces of info you will examine, especially what
outcomes
you will measure
and how
•
Make
data quality and accuracy
a performance measure
•
Provide
regular reports
to all players and examine them at
every meeting
•
Dig deeper when something isn’t clear-
cultivate a habit of
inquiry
•
Good communication
- Support data staff
to understand
what is being asked of them
Key Strategies
Community Presentations
What should be collected for State to make the
case?
# persons and households assisted and characteristics
Assistance provided
Outcomes: where do people exit to? (measure housing
placement or retention)
Length of program duration
Expenditures: amounts and categories
What else?
Where will you face challenges doing this?
Discussion
1
Thank you!
For more information
Katharine Gale
Katharine@focusstrategies.net
kgaleconsulting@sbcglobal.net
(510) 710-9176
www.focusstrategies.net
Explore the goals, data insights, and best practices of the CalWORKs Housing Support Program in Sacramento. Learn about the impact on rapid rehousing and prevention, data sources, cost analyses, and outcomes to better understand program effectiveness and assist the community efficiently.
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Presentation Transcript
Data Collection, Overview and Best Practices CalWORKs Housing Support Program (HSP) Seminar Sacramento, CA Katharine Gale September 24, 2014 kgaleconsulting@sbcglobal.net www.focusstrategies.net
Discussion Outline Goals of data collection What data has told us so far about rapid rehousing and prevention Data sources Common challenges and key strategies Community sharing Santa Cruz Fresno Discussion and brainstorming FocusStrategies.net
Goals Understand how your program is working Provide State with key indicators of impact # households assisted and characteristics Assistance provided Outcomes: where do people exit to? (measure housing placement or retention) Length of program duration Expenditures: amounts and categories What else? (we ll discuss shortly) Have ability to do longer-term analysis cost off-sets, returns to homelessness, etc. FocusStrategies.net
What data has told us so far Rapid Rehousing has high rates of initial exits to housing HPRP rate 84% - higher for families Rapid Rehousing reduces likelihood of returns to Homelessness GA study found 4.7 times more likely to return to homelessness if not rapidly rehoused Rapid Rehousing is typically less expensive than other homeless services (see next slide) FocusStrategies.net
Cost comparisons: Rapid Re-housing FocusStrategies.net
What data has told us so far Prevention assistance also has high reported success rates Exits to Permanent housing were 88% with HPRP BUT, can t prove counterfactual would they have become homeless?? Research shows that rates of subsequent homelessness among those seeking prevention services are typically very low, whether they are assisted or not. Issue of using good targeting and of comparisons . FocusStrategies.net
Data sources Homeless Management Information Systems (HMIS) Several different software providers, but with common data standards Characteristics Services provided Length of enrollment Destinations at exit CalWIN, C4, Leader Other public systems (Health Care, Behavioral Health, Probation, etc.) Provider databases Other?? FocusStrategies.net
Common Challenges Data quality completeness and accuracy Getting good reports that provide what s needed Not just averages: ranges, outliers Ability to query, follow up Lack of analytic capacity and/or culture of using data Data staff that don t understand program needs (and visa versa!) Barriers to Data sharing Within programs Across programs and funding sources FocusStrategies.net
Key Strategies Put data sharing agreements in place from the get go Make sure clients sign appropriate releases Define key pieces of info you will examine, especially what outcomes you will measure and how Make data quality and accuracy a performance measure Provide regular reports to all players and examine them at every meeting Dig deeper when something isn t clear- cultivate a habit of inquiry Good communication - Support data staff to understand what is being asked of them FocusStrategies.net
Community Presentations FocusStrategies.net
Discussion What should be collected for State to make the case? # persons and households assisted and characteristics Assistance provided Outcomes: where do people exit to? (measure housing placement or retention) Length of program duration Expenditures: amounts and categories What else? Where will you face challenges doing this? FocusStrategies.net
Thank you! For more information Katharine Gale Katharine@focusstrategies.net kgaleconsulting@sbcglobal.net (510) 710-9176 www.focusstrategies.net FocusStrategies.net 1
