Upload
lesley-shelton
View
213
Download
1
Embed Size (px)
Citation preview
HUD Advanced Homeless Data Users Meeting Purpose
Facilitate peer-to-peer learning between communities who can demonstrate innovative uses of homeless data at the local level for Continuum of Care (CoC):– Planning– Management (i.e. program evaluation); and– Decision making.
Selection of Presenters
Communities were asked to respond to a Request for Presenters that was distributed in December 2006.
Proposals were evaluated on several factors:– New and/or innovative uses of HMIS data for CoC planning,
management, or decision making– The quality of the study design, data, and analytic methods.– The appropriateness of fit with other presentations for the
meeting.
Presenters were asked…
To provide detailed information on:– Description of the research question or problem
investigation– The importance of the project to the CoC.– Highlights of data analyzed and relevant findings.– Impact on how the data made a change in the
policy, programming, or management decisions at the local CoC level.
Michigan’s Statewide Baseline Report Barbara Ritter
The statewide report serves as the baseline for the launch of the state’s 10-Year Plan to End Homelessness
Important to view this report as a “proof of concept” that can be used to plan how they will use data to support accountability, planning, and advocacy.
Data from over 32,000 records in the HMIS was analyzed to provide a detailed description of the State’s homeless population.
Report primarily presents descriptive information on the state’s homeless population and initial (tentative) prevalence data.
Given the data quality constraints inherent in a new implementation, the prevalence data is less certain, but will definitely improve over time.
Hawaii State Homeless Service Utilization ReportBrian Johnson & Marika Ripke
Partnership between Hawaii Public Housing Authority and the Center on the Family at the University of Hawaii
Used several years worth of HMIS data to document characteristics of clients/dispel myths (jobless, don’t want to work, etc.)
Able to increase funding
Linking HMIS with Mainstream Healthcare Databases for Cost Avoidance Analyses in VirginiaEvan Scully & Michael Shank
Minimal data from the HMIS (non-identifying information and enrollment date) compared with local psychiatric hospital and other data to determine:
– amount of money spent each year for a homeless adult with psychiatric disabilities,
– number of days spent in local hospitals and the costs that could be offset by utilizing a housing first approach to intervene before clients were admitted to the hospital.
The Use of HMIS in a Federally Qualified Health CenterDr. Rockelle Rogers & Melissa Pociask
Began using HMIS for clients using the prescription program
Emergency Prescription Assistance Program (EPAP) anyone that lives in county in need of emergency prescription can access at one of four sites
Helped to link individuals to services they may otherwise not have been linked with
Increased collaboration between agencies; HCH recently began using HMIS
Using HMIS to Evaluate Homeless Prevention and Assistance ProgramsCraig Helmstetter & Jamey Burden
Non-profit research center (Wilder) partnered with Minnesota Housing
Family Homeless Prevention and Assistance Program (FHPAP) 3 program goals:
– Prevent homelessness– Minimize length– No return to shelter
Tracked returns to shelter Able to document prevention assistance has helped
to keep people out of shelter; succeeded in lobbying the state increase prevention resources
Using HMIS Data for Presumptive EligibilityAntoinette Triplett & Deb Little
Helps to identify clients potentially eligible for assistance
Documents number of clients referred to mainstream resources
Screen shows which services client is most likely eligible to receive
Homeless Certification and HMISMichelle Budzek & Molly McEvilley
Electronic homeless certification via HMIS Replaces “paper” documentation Clients carry documentation with them as
they move between providers Has helped to increase participation in HMIS Number of homeless in CoC have decreased
with electronic certification
Performance Measurement System in DCDarlene Mathews
Use data from HMIS to prioritize programs for funding purposes
Report card Performance measures developed to parallel
HUD goals and outcomes/measures
Using Data to Facilitate Service Coordination and Results AccountabilityKevin Breazeale & Matthew Berg
Use of a proven research model to develop performance measurement tools
Adopted the Friedman Results Accountability Model to establish performance measures for programs serving Philadelphia’s homeless population
Informed by data gathered by the HMIS, staff developed performance measures for emergency and transitional programs. The performance measures answer three basic questions:
– 1. How much did we do? – 2. How well did we do it? and – 3. Is anyone better off because of our efforts?