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Tracking residential outcomes of supported independent living programs for persons with serious mental illness

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  • Wong, Yin-Ling Irene
  • Poulin, Stephen R.
  • Lee, Sungeun
  • Davis, Morris R.
  • Hadley, Trevor R.

Abstract

This study seeks to document patterns and reasons of leaving housing, and identify factors associated with different types of exits for a cohort of 452 residents with serious mental illness entering supported independent living (SIL) in Philadelphia, PA. The study cohort was tracked through an integrated administrative database comprised information on basic demographic and clinical characteristics, length of stay, homeless shelter use, and publicly funded behavioral health services use. A convenience sample of 46 SIL leavers and their support staff provided data on scenarios of leaving. The findings of this study suggest that departure from SIL is not a unitary phenomenon, but involving plausibly favorable as well as unfavorable circumstances. Multivariate analysis based on administrative tracking data suggests demographic and clinical factors, housing setting, and service use factors to have effects on leaving SIL and distinct types of exit examined in this study. Data procured from the convenience sample highlight the potential roles that program rules and resident-staff relationships play in affecting housing tenure. Implications of the findings for the development of permanent supportive housing for persons with serious mental illness are discussed.

Suggested Citation

  • Wong, Yin-Ling Irene & Poulin, Stephen R. & Lee, Sungeun & Davis, Morris R. & Hadley, Trevor R., 2008. "Tracking residential outcomes of supported independent living programs for persons with serious mental illness," Evaluation and Program Planning, Elsevier, vol. 31(4), pages 416-426, November.
    • Handle: RePEc:eee:epplan:v:31:y:2008:i:4:p:416-426
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    References listed on IDEAS

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    1. Hall, Judith A. & Dornan, Michael C., 1990. "Patient sociodemographic characteristics as predictors of satisfaction with medical care: A meta-analysis," Social Science & Medicine, Elsevier, vol. 30(7), pages 811-818, January.
    2. Milby, J.B. & Schumacher, J.E. & Wallace, D. & Freedman, M.J. & Vuchinich, R.E., 2005. "To house or not to house: The effects of providing housing to homeless substance abusers in treatment," American Journal of Public Health, American Public Health Association, vol. 95(7), pages 1259-1265.
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    1. Peter McPherson & Joanna Krotofil & Helen Killaspy, 2018. "What Works? Toward a New Classification System for Mental Health Supported Accommodation Services: The Simple Taxonomy for Supported Accommodation (STAX-SA)," IJERPH, MDPI, vol. 15(2), pages 1-17, January.
    2. Montgomery, Ann Elizabeth & Cusack, Meagan & Szymkowiak, Dorota & Fargo, Jamison & O’Toole, Thomas, 2017. "Factors contributing to eviction from permanent supportive housing: Lessons from HUD-VASH," Evaluation and Program Planning, Elsevier, vol. 61(C), pages 55-63.
    3. Bernet, Alice & Warren, Cristina & Adams, Susie, 2015. "Using a community-based participatory research approach to evaluate resident predictors of involuntary exit from permanent supportive housing," Evaluation and Program Planning, Elsevier, vol. 49(C), pages 63-69.

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