Glendening Zachary, Shinn Marybeth
Vanderbilt University.
Cityscape. 2017;19(3):309-330.
This study developed risk models for returns to housing instability (that is, homelessness and unstable doubling-up situations) among families exiting emergency shelter. Participants included 446 families randomly assigned to receive priority offers of long-term housing subsidies and 578 families randomly assigned to usual care in the Family Options Study, a multisite experiment designed to test the impact of various housing and service interventions for homeless families. Relationships between family features recorded at shelter entry and returns to housing instability 20 months later were examined empirically. Correlation, hierarchical logistic regression, and receiver operating characteristic curves were used to combine family features into predictive risk models. Results indicated that few observable family features beyond previous housing instability offered predictive utility. Access to long-term housing subsidies appears to reduce housing instability. Further research should examine whether disability benefits, reliable employment, or effective substance dependence treatment reduce housing instability.
本研究针对从紧急避难所迁出的家庭，建立了住房不稳定（即无家可归和不稳定的合住情况）回归风险模型。参与者包括446个被随机分配接受长期住房补贴优先提供的家庭，以及578个在家庭选择研究中被随机分配接受常规护理的家庭。家庭选择研究是一项多地点实验，旨在测试各种住房和服务干预措施对无家可归家庭的影响。对在进入避难所时记录的家庭特征与20个月后住房不稳定回归之间的关系进行了实证研究。使用相关性分析、分层逻辑回归和受试者工作特征曲线，将家庭特征组合成预测风险模型。结果表明，除了先前的住房不稳定之外，几乎没有可观察到的家庭特征具有预测效用。获得长期住房补贴似乎可以减少住房不稳定。进一步的研究应考察残疾福利、稳定就业或有效的药物依赖治疗是否能减少住房不稳定。
