Outcome Trajectories among Homeless Individuals with Mental Disorders in a Multisite Randomised Controlled Trial of Housing First. (January 2017)

• Record Type: Journal Article
• Authors: Adair, Carol E.; Streiner, David L.; Barnhart, Ryan; Kopp, Brianna; Veldhuizen, Scott; Patterson, Michelle; Aubry, Tim; Lavoie, Jennifer; Sareen, Jitender; LeBlanc, Stefanie Renée; Goering, Paula
• Is Part Of: Canadian journal of psychiatry =. Volume 62:Number 1(2017)
• Page Start: 30
• Page End: 39
• Publication Date: 2017-01
• Subjects: homelessness -- mental disorders -- trajectories -- longitudinal data -- generalized growth mixture modeling; Psychiatry -- Periodicals; Psychiatry -- Canada -- Periodicals; 616.8900971
• DOI: 10.1177/0706743716645302
• Languages: English
• ISSNs: 0706-7437

Abstract

Purpose: Housing First (HF) has been shown to improve housing stability, on average, for formerly homeless adults with mental illness. However, little is known about patterns of change and characteristics that predict different outcome trajectories over time. This article reports on latent trajectories of housing stability among 2140 participants (84% followed 24 months) of a multisite randomised controlled trial of HF. Methods: Data were analyzed using generalised growth mixture modeling for the total cohort. Predictor variables were chosen based on the original program logic model and detailed reviews of other qualitative and quantitative findings. Treatment group assignment and level of need at baseline were included in the model. Results: In total, 73% of HF participants and 43% of treatment-as-usual (TAU) participants were in stable housing after 24 months of follow-up. Six trajectories of housing stability were identified for each of the HF and TAU groups. Variables that distinguished different trajectories included gender, age, prior month income, Aboriginal status, total time homeless, previous hospitalizations, overall health, psychiatric symptoms, and comorbidity, while others such as education, diagnosis, and substance use problems did not. Conclusion: While the observed patterns and their predictors are of interest for further research and general service planning, no set of variables is yet known that can accurately predict the likelihood of particular individuals benefiting from HF programs at the outset.