Canadian Observatory on Homelessness
The Canadian Observatory on Homelessness is the largest national research institute devoted to homelessness in Canada. The COH is the curator of the Homeless Hub.
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The Canadian Observatory on Homelessness is the largest national research institute devoted to homelessness in Canada. The COH is the curator of the Homeless Hub.
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Author(s): Carol E. Adair, David L. Streiner, Ryan Barnhart, Brianna Kopp, Scott Veldhuizen, Michelle Patterson, Tim Aubry, Jennifer Lavoie, Jitender Sareen, Stefanie Renee LeBlanc, Paula Goering
Publication Date: 2017
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...
Author(s): Guido Antonio Powell, Carol E. Adair, David L. Streiner, Nancy Mayo, Eric Latimer
Publication Date: 2017
Background and objective
Participants experiencing homelessness and mental illness who received housing and support through the At Home/Chez Soi trial showed modest gains in quality of life (QOL) compared to treatment as usual participants. Participants’ QOL ratings over time may have been affected by either response shift triggered by new life circumstances or by random variation in the meaning of QOL ratings. This study seeks to identify both...
Author(s): Jennifer S. Volk, Tim Aubry, Paula Goering, Carol E. Adair, Jino Distasio, Jonathan Jetté, Danielle Nolin, Vicky Stergiopoulos, David L. Streiner, Sam Tsemberis
Publication Date: 2015
Background
At Home/Chez-Soi was a 24 month randomized controlled trial of Housing First (HF) conducted in five Canadian cities.
Aims
This article attempts to identify the characteristics of participants who experienced housing instability one year after entering HF. Methods: Those defined as experiencing housing instability were housed <50% of the last 9 months of the first year, excluding time in institutions, unless they were housed 100% of...
Author(s): Paula Goering, Scott Veldhuizen, Geoffrey B. Nelson, Ana Stefancic, Sam Tsemberis, Carol E. Adair, Jino Distasio, Tim Aubry, Vicky Stergiopoulos, David L. Streiner
Publication Date: 2016
Objective
This study examined whether Housing First fidelity ratings correspond to program operation descriptions from administrative data and predict client outcomes.
Methods
A multisite, randomized controlled trial (At Home/Chez Soi) in five Canadian cities included two assessments of 12 programs over two years. Outcomes for 1,158 clients were measured every six months. Associations between fidelity ratings and administrative data (Spearm...
Author(s): Diego S. Silva, Jimmy Bourque, Paula Goering, Ken A. Hahlweg, Vicky Stergiopoulos, David L. Streiner, Jijian Voronka
Publication Date: 2014
The At Home/Chez Soi (AHCS) project was a multisite pragmatic randomized controlled trial evaluating the effectiveness of providing housing and psychosocial support for individuals who were previously homeless and suffered from a moderate or severe psychiatric illness. Over a two-year period, the project provided rent subsidies and housing as well as either assertive community treatment or intensive case management to help meet mental health need...
Author(s): Scott Veldhuizen, Carol E. Adair, Christian Methot, Brianna C. Kopp, Patricia O’Campo, Jimmy Bourque, David L. Streiner, Paula N. Goering
Publication Date: 2014
Purpose
Participant retention is an important challenge in longitudinal research on homeless people. High attrition can threaten validity, and may represent lost opportunities to deliver interventions. In this article, we report on attrition in the At Home/Chez Soi study, a multi-site randomized controlled trial of a housing intervention for homeless people with mental illness.
Methods
We first calculate life tables, and then use clustered logis...