matthew_maciejewski

Core Faculty

Matthew Maciejewski, PhD

Contact

mlm34@duke.edu

Focus Areas
Degree

PhD, University of Minnesota

Matt Maciejewski, PhD is a Professor in the Department of Population Health Sciences. He is also a Research Career Scientist and Director of the Health Economics and Policy Unit in the Center for Health Services Research in Primary Care at the Durham VA Medical Center. Matt also holds Adjunct Professor appointments in the Schools of Public Health and Pharmacy at the University of North Carolina at Chapel Hill. Additionally, he has been named a member of the Editorial Board for Health Services Research.

He has research interests in four areas:

1) evaluation of surgical and behavioral interventions for the management of obesity and cardiometabolic conditions
2) evaluation of cost-sharing changes on demand for medications and health services
3) analysis of health care utilization and expenditures in experimental and quasi-experimental studies
4) methods for addressing unobserved confounding in observational studies.

Matt has received funding from NIDA, CMS, AHRQ, VA HSR&D, and the RWJ Foundation. He has published over 190 papers in peer-reviewed journals such as JAMA, JAMA Internal Medicine, JAMA Surgery, Annals of Internal Medicine, Health Economics, Medical Care, Health Services Research, Journal of Clinical Epidemiology and Diabetes Care.

Areas of expertise: Health Services Research, Health Economics, Health Policy, Multimorbidity

From Scholars@Duke

Scholars@Duke Profile
Drake C, McPeek Hinz E, Granger BB, Granados I, Rader A, Pitcher A, et al. Implementation of NCCARE360, a Digital Statewide Closed-Loop Referral Platform to Improve Health and Social Care Coordination: Evidence from the North Carolina COVID-19 Support Services Program. North Carolina medical journal. 2024 Mar;85(2):134–42.

Drake C, Rader A, Clipper C, Haney M, Bulgin D, Cameron B, et al. Adaptation to Telehealth of Personalized Group Visits for Late Stage Diabetic Kidney Disease. Kidney360. 2023 Dec 1;4(12):1708–16.

Wang SM, Hogg HDJ, Sangvai D, Patel MR, Weissler EH, Kellogg KC, et al. Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study. JMIR Form Res. 2023 Sep 21;7:e43963.