Using a community-based participatory research approach to evaluate resident predictors of involuntary exit from permanent supportive housing
Description
Objective: The aim of this study was to determine an association between resident characteristics at time of entry to permanent supportive housing and exit status.
Methods: A community-based participatory research (CBPR) approach was the guiding framework for the design, implementation and evaluation of this project. This retrospective observational study used an administrative data source from a local permanent supportive housing provider to compare resident characteristics among those who left housing voluntarily or involuntarily.
Results: The population based sample (n = 407) was comprised of 51% males and 47% African-Americans with a mean age of 40 years (SD = 11.8). Involuntary exits (IEs) occurred in 40% of the sample (n = 166). IE was less likely with receipt of mainstream benefits, compared to employment income (O.R. = .546, p = .032). IE was more likely for residents self-identifying as African-American (O.R. = 1.56, p = .037) and when children resided in the household (O.R. = 2.03, p = .013).
Conclusions: Despite limitations of community-derived data, findings suggest that supportive housing providers consider income source and family status when designing interventions to decrease IEs. A CBPR approach is a promising framework to guide evaluation efforts for supportive housing programs.
Methods: A community-based participatory research (CBPR) approach was the guiding framework for the design, implementation and evaluation of this project. This retrospective observational study used an administrative data source from a local permanent supportive housing provider to compare resident characteristics among those who left housing voluntarily or involuntarily.
Results: The population based sample (n = 407) was comprised of 51% males and 47% African-Americans with a mean age of 40 years (SD = 11.8). Involuntary exits (IEs) occurred in 40% of the sample (n = 166). IE was less likely with receipt of mainstream benefits, compared to employment income (O.R. = .546, p = .032). IE was more likely for residents self-identifying as African-American (O.R. = 1.56, p = .037) and when children resided in the household (O.R. = 2.03, p = .013).
Conclusions: Despite limitations of community-derived data, findings suggest that supportive housing providers consider income source and family status when designing interventions to decrease IEs. A CBPR approach is a promising framework to guide evaluation efforts for supportive housing programs.
Format
webpage
Type
Journal article
Citation
Bernet, A., Warren, C., & Adams, S. (2015). Using a community-based participatory research approach to evaluate resident predictors of involuntary exit from permanent supportive housing. Evaluation and Program Planning, 49, 63-69. https://doi.org/10.1016/j.evalprogplan.2014.11.011