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Toward a Better Understanding of Primary Care Physician Career Typologies

Bibliographic Data

ID9102914
AuthorsErin Fraher (0000-0003-3592-8100, University of North Carolina at Chapel Hill, corresponding author), Todd M Jensen (0000-0002-6930-899X, University of North Carolina at Chapel Hill), Todd Jensen (University of North Carolina at Chapel Hill), Alberta Tran (0000-0002-9091-7036, MedStar Health Research Institute, Washington, DC), Evan Galloway (0009-0000-9073-5120, University of North Carolina at Chapel Hill, corresponding author), Jasmine Weiss (0000-0001-7394-7316, University of North Carolina at Chapel Hill), Brianna M Lombardi (0000-0003-3146-496X, University of North Carolina at Chapel Hill, corresponding author), Brianna Lombardi (University of North Carolina at Chapel Hill)
Year2025
Volume63
Issue9
Pages637-645
Publication date2025-09-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMedical Care (JOURNAL)
Journal identifiersISSN: 0025-7079 • E-ISSN: 1537-1948
PublisherOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002167
PMID40465665
OpenAlexW4411018591
LanguageEN
References cited29

BACKGROUND: The nation faces a persistent shortage and maldistribution of primary care physicians (PCPs). A better understanding of PCP career typologies could help policy makers target interventions toward certain subgroups, rather than using a "one-size fits all" approach to improving PCP supply, distribution and diversity across settings and in rural areas. METHODS: This study used cross-sectional data from 2009 and 2019, derived from the North Carolina (NC) Medical Board, on PCPs in active practice in family medicine, general internal medicine, general pediatrics, geriatrics, and obstetrics and gynecology in NC. We used latent class analysis (LCA) to investigate: (1) whether different career typologies exist in the primary care physician workforce; (2) if so, whether career typologies changed in the 10-year period before the COVID-19 pandemic (2009 and 2019); and (3) whether a physician's generational cohort, age, sex, race/ethnicity, career stage, and medical school location were associated with different career typologies. RESULTS: The LCA yielded 4 distinct career typologies in both 2009 and 2019 with high levels of class separation. The 4 typologies were relatively stable over the decade. Distinguishing factors between typologies included practice in a rural area, hospital, and ambulatory care employment, and provision of obstetric and prenatal care. CONCLUSIONS: Understanding PCP career typologies could be used to tailor interventions to improve the supply and distribution of PCP workforce. Medical schools could use this information to support trainees' decision-making about future careers and policy makers to target funding for training to support careers in rural and ambulatory settings

Diversity (politics) · Ethnic group · Family medicine · Latent class model · Political science · Psychological intervention · Rural area · Rurality · Sociology · Workforce · Diversity and Career in Medicine · Global Health Workforce Issues · Medicine · Nursing · Primary Care and Health Outcomes · Psychology

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