• Family medicine · Mar 2014

    Review

    Health disparities training in residency programs in the United States.

    • Memoona Hasnain, Lisa Massengale, Andrew Dykens, and Evelyn Figueroa.
    • Department of Family Medicine, University of Illinois at Chicago.
    • Fam Med. 2014 Mar 1; 46 (3): 186-91.

    Background And ObjectivesOur objective was to review and summarize extant literature on US-based graduate medical education programs to guide the development of a health disparities curriculum.MethodsThe authors searched Medline using PubMed, Web of Science, and Embase for published literature about US-based graduate medical education programs focusing on training residents to care for underserved and vulnerable populations and to address health disparities. Articles were reviewed and selected per study eligibility criteria and summarized to answer study research questions.ResultsOf 302 initially identified articles, 16 (5.4%) articles met study eligibility criteria. A majority, 15 (94%), of reported programs were from primary care; one (6.25%) was from surgery. Eight (50%) programs reported longitudinal training; seven (44%) reported block experiences, while one (6.25%) described a one-time Internet-based module. Four (25%) programs required residents to develop and complete a research project, and six (37.5%) included community-based clinical training. All 16 programs utilized some form of evaluation to assess program impacts.ConclusionsThere are few published reports of graduate medical education programs in the United States that focus on preparing residents to address health disparities. Reported programs are mostly from primary care disciplines. Programs vary in curricular elements, using a wide variety of training aims, learner competencies, learning activities, and evaluation methods. This review highlights the need for published reports of educational programs aimed at training residents in health disparities and underserved medicine to include the evidence for effectiveness of various training models.

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