预测心理健康同行专家服务的参与度。

Predicting Engagement With Mental Health Peer Specialist Services.

机构信息

Center for Health Equity Research and Promotion and the Mental Illness Research, Education, and Clinical Center (Chinman, Mitchell-Miland, Bachrach) and Department of Health Science (McCarthy), Veterans Affairs (VA) Pittsburgh Healthcare System, Pittsburgh; Department of Health, RAND Corporation, Santa Monica, California (Chinman); Department of Sociology (Schutt) and Department of Psychiatry (Ellison), University of Massachusetts, Boston.

出版信息

Psychiatr Serv. 2019 Apr 1;70(4):333-336. doi: 10.1176/appi.ps.201800368. Epub 2019 Feb 13.

DOI:10.1176/appi.ps.201800368

PMID:30755129

Abstract

OBJECTIVE

Peer specialists are individuals with behavioral disorders who complete training to use their experiences to help others with similar disorders. Recent analyses have suggested that greater engagement with peer specialist services is associated with fewer psychiatric symptoms. This study assessed predictors of engagement with peer specialist services.

METHODS

Using the Andersen model of health service utilization with a sample of veterans (N=71) receiving housing support, investigators constructed a negative binomial regression model to evaluate the association between peer specialist service engagement and the model's three factors assessed at baseline of a larger trial: predisposing (personal demographic and social variables); enabling (support variables), and need (perceived and evaluated health problems). Demographic characteristics and behavioral health service use six months before baseline were also predictors.

RESULTS

Greater hope (predisposing), psychiatric symptoms (need), and service utilization significantly predicted greater peer specialist engagement.

CONCLUSIONS

These results suggest subpopulations with whom peer specialists would be most likely to engage successfully, perhaps improving their efficiency.

摘要

目的

同伴专家是指患有行为障碍的人，他们完成培训后，利用自己的经验来帮助其他有类似障碍的人。最近的分析表明，更多地参与同伴专家服务与较少的精神症状有关。本研究评估了与同伴专家服务接触的预测因素。

方法

本研究使用安德森健康服务利用模型，对接受住房支持的退伍军人样本（N=71）进行分析，研究人员构建了一个负二项回归模型，以评估同伴专家服务接触与该模型在更大试验基线评估的三个因素之间的关系：倾向（个人人口统计学和社会变量）；使能（支持变量）和需要（感知和评估的健康问题）。人口统计学特征和基线前六个月的行为健康服务使用情况也是预测因素。