Department of Epidemiology, Biostatistics, and Occupational Health (Chu, Moodie), and Department of Psychiatry (Latimer), McGill University, Montreal; Douglas Mental Health University Institute, Montreal (Chu, Latimer); Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Canada (Streiner).
Psychiatr Serv. 2020 Jul 1;71(7):648-655. doi: 10.1176/appi.ps.201900260. Epub 2020 Apr 8.
Studies have shown that Housing First, a recovery-oriented housing intervention, is effective in reducing service utilization among homeless individuals with mental illness, but less is known about how Housing First affects patterns of service use over time and about characteristics associated with various utilization trajectories. This analysis aimed to explore latent class trajectories of shelter utilization in a randomized controlled trial of Housing First conducted across five Canadian cities.
Data from the At Home/Chez Soi trial were analyzed (N=2,058). Latent class growth analysis was performed using days of shelter utilization to identify trajectories over 24 months. Multinomial logistic regression was used to determine which baseline variables, including treatment group, could predict class membership.
Four shelter use trajectories were identified: consistently low (N=1,631, 79%); mostly low (N=120, 6%); early temporary increase (N=179, 9%); and higher use, late temporary increase (N=128, 6%). Treatment group was a significant predictor of class membership. Those enrolled in Housing First had lower odds of experiencing higher shelter use trajectories (mostly low: odds ratio [OR]=0.50, 95% confidence interval [CI]=0.34-0.72; early temporary increase: OR=0.21, 95% CI=0.15-0.31; higher use, late temporary increase: OR=0.14, 95% CI=0.09-0.22). Other variables associated with trajectory classes included older age and longer time homeless, both of which were associated with higher shelter use.
Several participant characteristics were associated with different shelter use patterns. Knowledge of variables associated with more favorable trajectories may help to inform service planning and contribute to modeling efforts for homelessness.
研究表明,住房优先,一种以康复为导向的住房干预措施,可有效减少患有精神疾病的无家可归者的服务利用,但对于住房优先如何随着时间的推移影响服务使用模式以及与各种利用轨迹相关的特征知之甚少。本分析旨在探索五个加拿大城市开展的住房优先随机对照试验中庇护所利用的潜在类别轨迹。
分析了 At Home/Chez Soi 试验的数据(N=2058)。使用庇护所利用天数进行潜在类别增长分析,以确定 24 个月内的轨迹。使用多项逻辑回归确定哪些基线变量(包括治疗组)可以预测类别归属。
确定了四种庇护所使用轨迹:持续低(N=1631,79%);主要低(N=120,6%);早期暂时增加(N=179,9%);以及较高使用,后期暂时增加(N=128,6%)。治疗组是类别归属的重要预测指标。参加住房优先的人经历较高庇护所使用轨迹的可能性较低(主要低:优势比[OR]=0.50,95%置信区间[CI]=0.34-0.72;早期暂时增加:OR=0.21,95% CI=0.15-0.31;更高使用,后期暂时增加:OR=0.14,95% CI=0.09-0.22)。与轨迹类别相关的其他变量包括年龄较大和无家可归时间较长,两者都与更高的庇护所使用有关。
几个参与者特征与不同的庇护所使用模式相关。了解与更有利轨迹相关的变量可能有助于为服务规划提供信息,并有助于为无家可归建模工作做出贡献。