Predicting Mental Health Care Enrollment and Treatment Uptake among Newly Arrived Refugees in U.S. Resettlement Programs.

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.