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Brown County Continuum of Care Status Report

Brown County Continuum of Care Status Report. Report Motivation. Updates on previous status reports Where are we compared to where we were last year? Are we moving in the right direction?. 2013 Recommendations. Reduce Average Length of Stay Target Services to High-Barrier Clients

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Brown County Continuum of Care Status Report

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  1. Brown County Continuum of CareStatus Report

  2. Report Motivation • Updates on previous status reports • Where are we compared to where we were last year? • Are we moving in the right direction?

  3. 2013 Recommendations • Reduce Average Length of Stay • Target Services to High-Barrier Clients • Divert Low-Barrier Clients to Rapid Re-Housing • Transitional Housing: Increase Client Retention Rates

  4. Presentation Outline • 2013 (Point-In-Time and Clients Served) • Client Risk Scores • Length of Stay • Transitional Housing Retention and Completion Rates • Recidivism Rates

  5. Longitudinal Data

  6. Point In Time Count Emergency Shelter

  7. Point In Time Count Transitional Households

  8. Risk Scores

  9. What is a Risk Score? • Measure to estimate difficulty of serving a client • Calculation based on particular client characteristics • No Income (past 30 days) • From Streets • Chronically Homeless • AODA • Mental Illness

  10. Purpose • Help level the playing field between providers • Analyze program success/failure rates with respect to demographics of clients served • Allows for a more standardized side-by-side program comparison • Encourages programs to serve high-barrier clients

  11. Sarah No Income in past 30 days? If YES: +1 X Client Risk Score If YES: +1 Mental Illness? √ If BOTH YES: +3 Alcohol or drug abuse? If YES: +1 X If YES: +1 Chronically Homeless? √ Range: 0 - 6 If YES: +1 1 0 2 Coming from Streets? X

  12. Provider Risk Score RP = 1·c1+2·c2+3·c3+4·c4+6·c5+7·c6c1+c2+c3+c4+c5+c6 Provider Risk Score Clients Assigned Risk Score Risk Score Calculation 3 1 2 0 4 6 5

  13. Emergency Shelter Risk Scores Average: 37

  14. Transitional Housing Risk Scores 2013 Average: 30 2012 Average: 28

  15. Length of Stay (Emergency Shelters) • Aim: Shelter Stays of 30 days or less • High Performing Communities (HUD) • Average length of stay of 20 days or less • OR >10% decrease in average length of stay • Brown CoC average in 2012: 52.8 days

  16. Length of Stay (in days) HUD Goal

  17. Transitional Housing Completers Average Length of Stay (in months) 2012 Average: 12 months2013 Average: 11 months 2012 2013

  18. Transitional Housing: Retention and Completion

  19. Why Do Clients Leave? (TH, 2013)

  20. % Exiters Completing Program 2013 Average: 66% 2012 Average: 63%

  21. % Left Due To Disagreement/ Program Non-Compliance 2012 Average: 12%2013 Average: 13%

  22. Recidivism Emergency Shelter-to-Emergency Shelter

  23. 2013 Average: 24% s2012 Average: 23%

  24. Average: 13%

  25. Recidivism Transitional-to-Emergency Shelter

  26. Recidivism Rates from Transitional Housing to Emergency Shelter (w/in 6 months of exit) 2012 Average: 8% 2013 Average: 3%

  27. 2012 Average: 11% 2013 Average: 5%

  28. Clients Movement To/From Brown County

  29. Green Bay Client CountOctober 1, 2011 – September 30, 2013 St. John the Evangelist Homeless Shelter Total Clients:2,557

  30. Conclusions

  31. Emergency Shelter: What’s Working • Average length of shelter stay is decreasing • Recidivism rates are not increasing (Shorter shelter stays still as effective) • The majority of clients served in Brown County shelters are from Brown County

  32. Emergency Shelter: Suggestions • Continue to aim for shorter (20-30 day) shelter stays • Consider ways to reduce recidivism among clients (e.g. offering additional/alternate services, partnering with other organizations, pursuing coordinated assessment for effective placements)

  33. Transitional Housing: What’s Working • Many programs increased client completion rates (2013 average: 66.3%) • Clients who complete programs are successfully moving to housing • Transitional-to-Transitional recidivism rate reduced significantly since 2012 (11% to 5%)

  34. Transitional Housing: Suggestions • Divert low-barrier clients to rapid re-housing • Reduce high number of exits due to program non-compliance/ disagreement with staff (program-specific) • Consider ways to reduce recidivism rates (program-specific)

  35. Revisit 2012 Recommendations • Reduce Average Length of Stay • Target Services to High-Barrier Clients • Divert Low-Barrier Clients to Rapid Re-Housing • Transitional Housing: Increase Client Retention Rates

  36. Questions? jesse.dirkman@icalliances.orgjennifer.allen@icalliances.org

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