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Recruitment of Residents to Rural Programs: Early Outcomes From Cohort 1 of the Rural Residency Planning and Development Grants Program.

Amanda WeidnerMolly OrmsbyDavid V EvansDavis G PattersonCristen P PageEmily M Hawes
Published in: Journal of graduate medical education (2024)
Background To address rural physician workforce shortages, the Health Resources and Services Administration funded multiple Rural Residency Planning and Development (RRPD) awards, beginning in 2019, to develop rural residency programs in needed specialties. Objective To describe early resident recruitment outcomes of the RRPD grants program. Methods A cross-sectional survey of program directors or administrators of these 25 new rural residency training programs across the United States was administered at RRPD award conclusion in 2022. We performed descriptive analyses of applicant and Match data, including applications and interviews per resident position, positions filled in the main Match vs the Supplemental Offer and Acceptance Program (SOAP), and recruitment of residents from the program's state. Results The 25 Cohort 1 RRPD programs ranged from 2 to 8 residents per year. Most programs (16 of 25, 64.0%) were rural expansion tracks of an urban program. Most programs were sufficiently developed to participate in the 2022 (N=17) or 2023 (N=20) Match; we report on 13 of 17 (76.5%) programs for 2022 and 14 of 20 (70.0%) programs for 2023. Programs completed a median of 14.8 interviews per position. Most positions were filled in the Match (43 of 58, 74.1% in 2022; 45 of 58, 77.6% in 2023); most others were filled in the SOAP. On average, 34.4% of enrolled residents were from the same state as the program (range 0-78.6%). Conclusions The early resident recruitment outcomes of the RRPD model for developing new physician training in rural communities had sufficient recruitment success to support program continuation.
Keyphrases
  • quality improvement
  • public health
  • south africa
  • patient safety
  • primary care
  • emergency department
  • healthcare
  • mental health
  • cross sectional
  • data analysis