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Measuring Impact: Reducing Homelessness in North Carolina

Measuring Impact: Reducing Homelessness in North Carolina. prepared for North Carolina Coalition to End Homelessness. Megan Kurteff Schatz & Emily Halcon August 26, 2013 www.focusstrategies.net. We believe the HEARTH Act and Opening Doors lead the way to finally ending homelessness.

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Measuring Impact: Reducing Homelessness in North Carolina

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  1. Measuring Impact: Reducing Homelessness in North Carolina prepared for North Carolina Coalition to End Homelessness Megan Kurteff Schatz & Emily Halcon August 26, 2013 www.focusstrategies.net

  2. We believe the HEARTH Act and Opening Doors lead the way to finally ending homelessness. About Focus Strategies

  3. No one is homeless more than 30 days Goal

  4. Reframing homeless programs Housing Crisis Resolution System

  5. Intent of Today • Engage all CoCs in conversation on outcomes • Context: • HEARTH • HMIS capacity and data quality • Moving towards “right sizing” the system • Statewide outcome measurement systems

  6. What could we cover or discuss today that would make this forum a great use of your time? What could we cover or discuss today that would make this forum a great use of your time?

  7. Measuring Impact • New entries to homelessness • How long people stay homeless • Where people exit to • How many return to homelessness • Cost effectiveness of interventions

  8. Use of HMIS • Past = only input required • APRs reflect adjusted HMIS data • Information in hands of individual providers • Current = shift to system performance • Up to date, accurate information in HMIS • Common use of HMIS fields • Poor data quality & performance has consequences

  9. Measuring Impact

  10. Data Structure

  11. Importance of Data Quality • Using data leads to quality data • Understanding how data informs outcome measurements

  12. Elements of Data Quality

  13. Measuring Homelessness • HMIS at client level • HUD output reporting • Service or bed

  14. Measuring Housing Outcomes • Housing or household • Aligns solution to population • Outcomes reports may not match output reports (AHAR, APR) • Unit of measure • Proportions • Timeframes

  15. System Entry Length of Stay Permanent Housing Exits & Returns to Homelessness Cost per Permanent Housing Exit Measurements

  16. Outcomes: System Entry • Where are households coming from? • Who is entering your system/program? • Singles vs. families • Characteristics • Who is excluded • How does this relate to PIT? • How does this relate to HIC?

  17. Outcomes: System EntryEntry into Emergency Shelters

  18. Outcomes: System EntryData Quality Key Points • All HH members input and linked • Prior living must be immediate prior • Mismatch of prior living & housing status

  19. Outcomes: Length of Stay

  20. Outcomes: Length of Stay

  21. Outcomes: Length of StayData Quality Key Points • Missing exit dates • Program maximums are starting point • Program enrollment vs. ShelterPoint

  22. Outcomes: Exits to Permanent Housing • Where do households go when they exit? • Exits from program vs. exits from beds • Accounting for “linked” programs (e.g. ES/RR) • Do exits “stick”? • Measuring returns • Why some returns are a good thing

  23. Outcomes: Exits to Permanent Housing

  24. Outcomes: Exits to Permanent Housing

  25. Outcomes: Exits to Permanent Housing Data Quality Key Points • Program enrollment vs. shelter point • Unknown, Refused or Other destinations

  26. Outcomes: Exits to Permanent Housing Data Quality Key Points

  27. Outcomes: Exits to Permanent Housing Data Quality Key Points

  28. Outcomes: Cost / Permanent Housing Exit • Underlying all other outcomes: • System entry • Length of stay • Exit rate • Return rate • Layering cost data with outcome data

  29. Outcomes: Cost / Permanent Housing Exit

  30. Outcomes: Cost / Permanent Housing Exit Data Quality Key Points • Accurate cost information • Interplay of services with housing units • HMIS programs ≠ Community programs • Linking cost to client records

  31. Group Work • What data or information do you already have? • What do you want to know? • What obstacles are there? • What is a next step? • What could your community do with this information?

  32. Discussion

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