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Capturing intervention effects over time: Reanalysis of a critical time intervention for homeless mentally ill men

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  • Lennon, M.C.
  • McAllister, W.
  • Kuang, L.
  • Herman, D.B.

Abstract

Objectives. We analyzed whether a method for identifying latent trajectories-latent class growth analysis (LCGA)-was useful for understanding outcomes for individuals subject to an intervention. Methods. We used LCGA to reanalyze data from a published study of mentally ill homeless men in a critical time intervention (CTI) program. In that study, 96 men leaving a shelter's onsite psychiatric program were randomly assigned to experimental and control groups. The former received CTI services and the latter usual services. Each individual's housing circumstances were observed for 18 months after program initiation. Our outcome measure was monthly homelessness: a person was considered homeless in a month if he was homeless for even 1 night that month. Results. Four latent classes were found among the control group, but just 3 among the experimental group. Control, but not experimental, group individuals showed a small class of chronically homeless men. The size of the never-homeless class was 19 percentage points larger for the experimental than for the control group. J- and inverted-U-shaped patterns were also found among both groups, but with important differences in timing of patterns. Conclusions. Our results reveal effects not apparent in the original analysis, suggesting that latent class growth models improve intervention evaluation.

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  • Lennon, M.C. & McAllister, W. & Kuang, L. & Herman, D.B., 2005. "Capturing intervention effects over time: Reanalysis of a critical time intervention for homeless mentally ill men," American Journal of Public Health, American Public Health Association, vol. 95(10), pages 1760-1766.
  • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2005.064402_1
    DOI: 10.2105/AJPH.2005.064402
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    Cited by:

    1. Alison L. Weightman & Mark J. Kelson & Ian Thomas & Mala K. Mann & Lydia Searchfield & Simone Willis & Ben Hannigan & Robin J. Smith & Rhiannon Cordiner, 2023. "Exploring the effect of case management in homelessness per components: A systematic review of effectiveness and implementation, with meta‐analysis and thematic synthesis," Campbell Systematic Reviews, John Wiley & Sons, vol. 19(2), June.
    2. Heather Menzies Munthe‐Kaas & Rigmor C Berg & Nora Blaasvær, 2018. "Effectiveness of interventions to reduce homelessness: a systematic review and meta‐analysis," Campbell Systematic Reviews, John Wiley & Sons, vol. 14(1), pages 1-281.
    3. David Ponka & Eric Agbata & Claire Kendall & Vicky Stergiopoulos & Oreen Mendonca & Olivia Magwood & Ammar Saad & Bonnie Larson & Annie Huiru Sun & Neil Arya & Terry Hannigan & Kednapa Thavorn & Anne , 2020. "The effectiveness of case management interventions for the homeless, vulnerably housed and persons with lived experience: A systematic review," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-21, April.
    4. Tim Aubry & Ayda Agha & Cilia Mejia-Lancheros & James Lachaud & Ri Wang & Rosane Nisenbaum & Anita Palepu & Stephen W. Hwang, 2021. "Housing Trajectories, Risk Factors, and Resources among Individuals Who Are Homeless or Precariously Housed," The ANNALS of the American Academy of Political and Social Science, , vol. 693(1), pages 102-122, January.
    5. Aliza Moledina & Olivia Magwood & Eric Agbata & Jui‐Hsia Hung & Ammar Saad & Kednapa Thavorn & Ginetta Salvalaggio & Gary Bloch & David Ponka & Tim Aubry & Claire Kendall & Kevin Pottie, 2021. "A comprehensive review of prioritised interventions to improve the health and wellbeing of persons with lived experience of homelessness," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(2), June.

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