Testing for Statistical Discrimination by Race/Ethnicity in Panel Data for Depression Treatment in Primary Care

Abstract

OBJECTIVE: To test for discrimination by race/ethnicity arising from clinical uncertainty in treatment for depression, also known as "statistical discrimination." DATA SOURCES: We used survey data from 1,321 African-American, Hispanic, and white adults identified with depression in primary care. Surveys were administered every six months for two years in the Quality Improvement for Depression (QID) studies. STUDY DESIGN: To examine whether and how change in depression severity affects change in treatment intensity by race/ethnicity, we used multivariate cross-sectional and change models that difference out unobserved time-invariant patient characteristics potentially correlated with race/ethnicity. DATA COLLECTION/EXTRACTION METHODS: Treatment intensity was operationalized as expenditures on drugs, primary care, and specialty services, weighted by national prices from the Medical Expenditure Panel Survey. Patient race/ethnicity was collected at baseline by self-report. PRINCIPAL FINDINGS: Change in depression severity is less associated with change in treatment intensity in minority patients than in whites, consistent with the hypothesis of statistical discrimination. The differential effect by racial/ethnic group was accounted for by use of mental health specialists. CONCLUSIONS: Enhanced physician-patient communication and use of standardized depression instruments may reduce statistical discrimination arising from clinical uncertainty and be useful in reducing racial/ethnic inequities in depression treatment.

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