Address correspondence to Thomas G. McGuire, Ph.D., Professor of Health Economics, Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA 02115. John Z. Ayanian, M.D., M.P.P., Associate Professor of Health Care Policy, Associate Professor of Medicine, Rachel E. M. Henke, Ph.D., and Alan M. Zaslavsky, Ph.D., Professor of Health Care Policy (Statistics), are with the Department of Health Care Policy, Harvard Medical School, Boston, MA. John Z. Ayanian, M.D., M.P.P., Associate Professor of Health Policy & Management, is also with the Harvard School of Public Health, and as Practicing General Internist, with the Department of Health Care Policy, Division of General Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA. Daniel E. Ford, M.D., M.P.H., is David M. Levine Professor of Medicine, at Johns Hopkins University School of Medicine, Baltimore, MD. Kathryn M. Rost, Ph.D., Professor, is with the Department of Medical Humanities and Social Sciences, Florida State University, Tallahassee, FL.
Testing for Statistical Discrimination by Race/Ethnicity in Panel Data for Depression Treatment in Primary Care
Article first published online: 16 AUG 2007
© Health Research and Educational Trust
Health Services Research
Volume 43, Issue 2, pages 531–551, April 2008
How to Cite
McGuire, T. G., Ayanian, J. Z., Ford, D. E., Henke, R. E. M., Rost, K. M. and Zaslavsky, A. M. (2008), Testing for Statistical Discrimination by Race/Ethnicity in Panel Data for Depression Treatment in Primary Care. Health Services Research, 43: 531–551. doi: 10.1111/j.1475-6773.2007.00770.x
- Issue published online: 16 AUG 2007
- Article first published online: 16 AUG 2007
- Statistical discrimination;
- racial/ethnic disparities;
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.