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患有严重精神疾病的消费者随机样本中劳动力状况的预测因素。

Predictors of Labor Force Status in a Random Sample of Consumers with Serious Mental Illness.

作者信息

Carstens Carol, Massatti Richard

机构信息

Ohio Department of Mental Health and Addiction Services, 30 East Broad Street, Columbus, OH, 43215, USA.

出版信息

J Behav Health Serv Res. 2018 Oct;45(4):678-689. doi: 10.1007/s11414-018-9597-8.

Abstract

Employment among persons with severe mental illness has been challenging. Supported employment programs have had some success; however, much remains to be understood about client motivations for employment. A labor force participation study was mailed to persons receiving services in a Midwestern state's publicly funded behavioral health system, and a random sample of participants resulted in 964 valid surveys. Analysis showed significant differences between Medicaid coverage program and labor force status, with some programs likely to have higher percentages of employed persons. A multinomial logistic regression model explored the odds of employment and unemployment to not being in the labor force. Perception of incentives to employment greatly increased the odds, while age and perception of barriers to employment decreased the odds for both groups when compared to those not in the labor force. Findings have implications for the design of employment programs and coverage benefits.

摘要

严重精神疾病患者的就业一直颇具挑战。支持性就业项目已取得一些成效;然而,对于客户就业动机仍有许多有待了解之处。一项劳动力参与度研究问卷被邮寄给美国中西部某州公共资助行为健康系统的服务对象,随机抽取的参与者中有964份有效调查问卷。分析表明,医疗补助覆盖项目与劳动力状况之间存在显著差异,部分项目的就业人员比例可能更高。一个多项逻辑回归模型探究了就业和失业相对于不在劳动力队伍中的几率。对就业激励措施的认知显著增加了就业几率,而与不在劳动力队伍中的人相比,年龄和对就业障碍的认知则降低了两组的就业几率。研究结果对就业项目的设计和覆盖福利具有启示意义。

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