IDEAS home Printed from https://ideas.repec.org/a/eee/epplan/v31y2008i4p416-426.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0149-7189(08)00062-1
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. repec:aph:ajpbhl:10.2105/ajph.2004.039743_3 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:epplan:v:31:y:2008:i:4:p:416-426. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/evalprogplan .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.