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Unfilled in emergency medicine: An analysis of the 2022 and 2023 Match by program accreditation, ownership, and geography.
Gettel, Cameron J; Bennett, Christopher L; Rothenberg, Craig; Smith, Jessica L; Goldflam, Katja; Sun, Wendy W; Venkatesh, Arjun K.
Afiliação
  • Gettel CJ; Department of Emergency Medicine Yale School of Medicine New Haven Connecticut USA.
  • Bennett CL; Department of Emergency Medicine Stanford University School of Medicine Stanford California USA.
  • Rothenberg C; Department of Emergency Medicine Yale School of Medicine New Haven Connecticut USA.
  • Smith JL; Department of Emergency Medicine The Warren Alpert Medical School of Brown University Providence Rhode Island USA.
  • Goldflam K; Department of Emergency Medicine Yale School of Medicine New Haven Connecticut USA.
  • Sun WW; Department of Emergency Medicine Yale School of Medicine New Haven Connecticut USA.
  • Venkatesh AK; Department of Emergency Medicine Yale School of Medicine New Haven Connecticut USA.
AEM Educ Train ; 7(4): e10902, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37600854
Background: The two most recent National Resident Matching Program (NRMP) Match cycles saw a high number of initially unfilled emergency medicine (EM) residency positions. We sought to identify the risk of EM residency program characteristics including accreditation duration, primary clinical site ownership status, and geography pertaining to not initially filling all positions. Methods: We performed a repeated cross-sectional observational study of EM residency programs participating in the 2022 and 2023 NRMP Match cycles and used publicly available data from the NRMP, the Accreditation Council for Graduate Medical Education, the Centers for Medicare & Medicaid Services, and the U.S. Department of Housing and Urban Development. Our primary outcome was the proportion of EM residency programs that did not initially fill positions, with analyses stratified by accreditation duration (>5 or ≤5 years), primary clinical site ownership status, and geographic core-based statistical areas (CBSAs). Results: A total of 219 of 2921 (7.5%) positions in the 2022 Match and 554 of 3010 (18.4%) positions in the 2023 Match were initially unfilled. Over the 2-year period, EM residency programs accredited within the past 5 years had more than double the risk (relative risk [RR] 2.08, 95% confidence interval [CI] 1.69-2.57, chi-square p < 0.001) of not filling all positions compared to those accredited more than 5 years previously. EM residency programs with a primary clinical site under for-profit ownership had a 50% greater risk of not filling all positions when compared to those under nonprofit or governmental ownership (RR 1.50, 95% CI 1.14-1.98, chi-square p = 0.009). In 2023, several CBSAs had a high number of both offered and unfilled positions. Conclusions: EM residency programs accredited within the past 5 years or those with a primary clinical site under for-profit ownership had a greater risk of not filling all positions within the past two Match cycles.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article