Trends and Disparities in Mental Health Use Among Asian American Sub-groups, 2013-2019.

Abstract

Objective: The objective of this study was to characterize and compare national estimates of mental healthcare use among White and Asian American groups to provide an update using post Affordable Care Act data.

Methods: We analyzed yearly cross-sectional data from the 2013-2019 Medical Expenditure Panel Survey, including White (n = 112,590) and Asian American (n = 10,210) individuals, and examined rates of mental healthcare use for Asian (overall), Asian Indian, Chinese, Filipino, and Other Asian individuals relative to White individuals. Using multivariable logistic regression models and predictive margin methods, we estimated overall Asian disparities and Asian subgroup disparities compared to White group rates in mental health care (outpatient, specialty, psychotropic medication) among adults with and without elevated risk for mental illness. Regression models were adjusted for variables related to need for treatment, demographic, and socioeconomic status variables.

Results: Asian individuals had lower rates of mental healthcare use than White individuals. Unadjusted results and adjusted regression model predictions are consistent in identifying wide disparities in mental health care treatment across risk for mental illness, Asian subgroups, and types of treatment.

Conclusions: Asian Americans have significantly lower rates of mental healthcare use than White Americans, even among those with elevated risk for mental illness. There is small variation by Asian subgroups but disparities persist across subgroups and types of treatment. Our results imply interventions are needed to improve linguistically, culturally, and ethnically tailored outreach and engagement in treatment services, as well as examining treatment and its effectiveness for Asian American individuals living with psychological distress.