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与永久性支持性住房中的退伍军人摆脱无家可归状态相关的因素。

Factors associated with recovery from homelessness among veterans in permanent supportive housing.

机构信息

Desert Pacific Mental Illness Research, Education, and Clinical Center, VA Greater Los Angeles, Los Angeles, California, USA.

Department of Psychiatry, VA Greater Los Angeles, Los Angeles, California, USA.

出版信息

J Community Psychol. 2022 Jul;50(5):2144-2162. doi: 10.1002/jcop.22760. Epub 2021 Dec 4.

Abstract

AIMS

We sought to identify person- and program-level factors distinguishing permanent supportive housing (PSH) residents with higher versus lower social integration; and higher versus lower instrumental functioning.

METHODS

Among 60 PSH residents at Los Angeles' VA, surveys and medical records captured person-level factors. Using a median split, we dichotomized participants with higher versus lower social integration; and higher versus lower instrumental functioning. Recursive partitioning (RP) identified variables that best-differentiated these subgroups. Interviews with 26 participants captured their perceptions on social integration and instrumental functioning.

RESULTS

Using RP, health-related quality of life, psychiatric symptoms and case management frequency best-differentiated the social integration subgroups. Few perceived that PSH affected social integration. RP did not yield a stable model to differentiate the instrumental functioning subgroups; participants perceived that PSH addressed most functional deficits.

CONCLUSIONS

Services that enhance social integration may benefit PSH residents with poor health; existing services may adequately address instrumental functioning.

摘要

目的

我们试图确定将永久性支持性住房(PSH)居民区分开来的个人和项目层面的因素,这些因素可区分出社会融合程度更高和更低的居民,以及工具性功能更高和更低的居民。

方法

在洛杉矶退伍军人事务部的 60 名 PSH 居民中,通过调查和医疗记录收集了个人层面的因素。使用中位数分割,我们将具有更高和更低社会融合度的参与者以及具有更高和更低工具性功能的参与者分为两类。递归分区(RP)确定了最佳区分这些亚组的变量。对 26 名参与者的访谈捕捉了他们对社会融合和工具性功能的看法。

结果

使用 RP,健康相关生活质量、精神症状和个案管理频率可最佳地区分社会融合亚组。很少有人认为 PSH 影响了社会融合。RP 没有产生一个稳定的模型来区分工具性功能亚组;参与者认为 PSH 解决了大多数功能缺陷。

结论

增强社会融合的服务可能使健康状况不佳的 PSH 居民受益;现有的服务可能足以解决工具性功能问题。

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