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Client-level Analysis of Emergency Shelters: 1996-2006 Columbus and Franklin County, Ohio. RLUS Steering Committee Presentation December 5, 2006. Prepared for the Rebuilding Lives Updated Strategy Steering Committee Prepared by
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Client-level Analysis of Emergency Shelters: 1996-2006Columbus and Franklin County, Ohio RLUS Steering Committee Presentation December 5, 2006
Prepared for the Rebuilding Lives Updated Strategy Steering Committee Prepared by Stephen Metraux, Ph.D. – University of the Sciences in Philadelphia Dennis P. Culhane, Ph.D. – University of Pennsylvania
Goals Understand shelter utilization (families and singles) dynamics from 1996 to 2005, including: • Trends over time in shelter use (average daily census, prevalence, length of shelter stays) • Relationships between shelter exits & housing placements • Population Demographics • “Churning” analyses - family shelters today (& single adults in February)
Data Sources • Two administrative data sets: • “legacy” data – 1990-2001 • HMIS data – 2003-present
Average Daily Census – Single Adults • Males • substantial seasonal fluctuation • overall increasing trend in Legacy period (1996-2001) • marked decrease 1999-2001 co-occurring with increases in supportive housing placements • overall “flat” trend for HMIS period (2003-2006) • Females • less seasonal fluctuation • smaller bed capacity • steady increase in Average Daily Census in both Legacy & HMIS periods
Average Daily Census - Families • substantial seasonal fluctuation • overall declining trend in Legacy period (1996-2001) • diversion policies in family shelters adopted in 1999 co-occur with decreased Average Daily Census • overall “flat” trend for HMIS period (2003-2006) • size of families households appear to increase over time during HMIS period
“Front Door” & “Back Door” Dynamics • “Front Door” (i.e., changes in entries to shelter) • “Back Door” (i.e., changes in exits from shelter)
Shelter Exits, Housing, & Shelter Return • Exits from shelter to housing following successful program completion: • Families – 57% • Single Adults – Males 15%; Females 31% • Repeat shelter stay subsequent to shelter exit: • Families – 10% • Single Adults – Males 37%; Females 26%
Shelter Exits, Housing, & Shelter Return – Regression Findings • The longer the shelter episode, the higher the odds for a household (single adult or family) to exit to a housing placement; • Income increases the odds of receiving a housing placement upon exit, wages increased odds 5-fold. • Housing placement was strongest factor in reducing the hazards of repeat shelter stay • Among families, repeat shelter stays are a relatively rare event.
Movement Across Shelters Within Episodes - Families Out of 2,175 different shelter episodes, 589 (27.1%) episodes involved two shelters; and 13 (0.6%) involved 3 shelters. 97.1% of the shelter episodes – all but 63 of all the episodes – originated at the YIHN program; all but four multiple shelter episodes originated at YIHN.
Next Steps • Cluster analysis • Income patterns • Integrate inventory findings with utilization findings • Intra-episode movement analysis for single adults
Questions or Comments? Contact: Stephen Metraux, Ph.D. Department of Health Policy and Public Health University of the Sciences in Philadelphia 600 South 43rd Street Philadelphia PA 19104-4495 Tel: (215) 596-7612 Fax: (215) 596-7614 Email: s.metraux@usip.edu