This article examines variables that predict mental health care enrollment and engagement among refugees. The authors explore a mental health care model designed to identify mental health needs early among refugee arrivals that may interfere with adjustment and overall health outcomes using data from a Midwest refugee resettlement program. Using ecological models of mental distress and theories on help-seeking behaviors, the authors used logistic and count regressions to predict enrollment in mental health care services and utilization rates. Gender, nationality, and presenting problems were significant predictors of enrollment and length of engagement in services. The findings provide guidance to practitioners and resettlement agencies on refugee mental health and opportunities to increasing access and engagement in mental health care.

中文翻译：

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预测美国重新安置计划中新抵达难民的精神卫生保健入学率和治疗接受率


本文研究了预测难民心理健康护理入学率和参与度的变量。作者利用中西部难民重新安置计划的数据，探索了一种心理健康护理模式，旨在尽早识别抵达难民的心理健康需求，这些需求可能会干扰调整和整体健康结果。作者利用精神困扰的生态模型和寻求帮助行为的理论，利用逻辑回归和计数回归来预测精神卫生保健服务的入学率和利用率。性别、国籍和存在的问题是入学率和服务期限的重要预测因素。研究结果为从业人员和安置机构提供了难民心理健康方面的指导，以及增加心理健康护理机会和参与的机会。