The prevalence rate of depression in primary care is high. Primary care providers serve as the initial point of contact for the majority of patients with depression, yet, approximately 50% of cases remain unrecognized. The under-diagnosis of depression may be further exacerbated in limited English-language proficient (LEP) populations. Language barriers may result in less discussion of patients' mental health needs and fewer referrals to mental health services, particularly given competing priorities of other medical conditions and providers' time pressures. Recent advances in Health Information Technology (HIT) may facilitate novel ways to screen for depression and other mental health disorders in LEP populations. The purpose of this paper is to describe the rationale and protocol of a clustered randomized controlled trial that will test the effectiveness of an HIT intervention that provides a multi-component approach to delivering culturally competent, mental health care in the primary care setting. The HIT intervention has four components: 1) web-based provider training, 2) multimedia electronic screening of depression and PTSD in the patients' primary language, 3) Computer generated risk assessment scores delivered directly to the provider, and 4) clinical decision support. The outcomes of the study include assessing the potential of the HIT intervention to improve screening rates, clinical detection, provider initiation of treatment, and patient outcomes for depression and post-traumatic stress disorder (PTSD) among LEP Cambodian refugees who experienced war atrocities and trauma during the Khmer Rouge. This technology has the potential to be adapted to any LEP population in order to facilitate mental health screening and treatment in the primary care setting.

Asian Americans are understudied in health research and often aggregated into one homogenous group, thereby disguising disparities across subgroups. Cambodian Americans, one of the largest refugee communities in the United States, may be at high risk for adverse health outcomes. This study compares the health status and healthcare experiences of Cambodian American refugees and immigrants. Data were collected via questionnaires and medical records from two community clinics in Southern California (n = 308). Chi square and t-tests examined the socio-demographic differences between immigrants and refugees, and ANCOVA models compared the mean differences in responses for each outcome, adjusting for age at immigration, education level, and clinic site. Cambodian American refugees reported overall lower levels of health-related quality of life (all p's < 0.05 in unadjusted models) and self-rated health [unadjusted means (SD) = 18.2 (16.8) vs. 21.7 (13.7), p < 0.05], but either similar or more positive healthcare experiences than Cambodian American immigrants. In adjusted analyses, refugees had higher rates of diabetes and cardiovascular disease risk (e.g. heart condition and hypertension; p's < 0.05) compared to Cambodian American immigrants. There were minimal differences in self-reported health behaviors between the two groups. There is a need for more health promotion efforts among Cambodian American refugees and immigrants to improve their health outcomes and perceived wellbeing.

BACKGROUND: Millions of traumatized refugees worldwide have resettled in the United States. For one of the largest, the Cambodian community, having their mental health needs met has been a continuing challenge. A multicomponent health information technology screening tool was designed to aid provider recognition and treatment of major depressive disorder and posttraumatic stress disorder (PTSD) in the primary care setting. METHODS: In a clustered randomized controlled trial, 18 primary care providers were randomized to receive access to a multicomponent health information technology mental health screening intervention, or to a minimal intervention control group; 390 Cambodian American patients empaneled to participating providers were assigned to the providers randomized group. RESULTS: Electronic screening revealed that 65% of patients screened positive for depression and 34% screened positive for PTSD. Multilevel mixed effects logistic models, accounting for clustering structure, indicated that providers in the intervention were more likely to diagnose depression [odds ratio (OR), 6.5; 95% confidence interval (CI), 1.48-28.79; P=0.013] and PTSD (OR, 23.3; 95% CI, 2.99-151.62; P=0.002) among those diagnosed during screening, relative to the control group. Providers in the intervention were more likely to provide evidence-based guideline (OR, 4.02; 95% CI, 1.01-16.06; P=0.049) and trauma-informed (OR, 15.8; 95% CI, 3.47-71.6; P<0.001) care in unadjusted models, relative to the control group. Guideline care, but not trauma-informed care, was associated with decreased depression at 12 weeks in both study groups (P=0.003), and neither was associated with PTSD outcomes at 12 weeks. CONCLUSIONS: This innovative approach offers the potential for training primary care providers to diagnose and treat traumatized patients, the majority of whom seek mental health care in primary care (ClinicalTrials.gov number, NCT03191929).