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J Osteopath Med ; 124(7): 299-306, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38607677

ABSTRACT

CONTEXT: It is unknown if US residency applicants of different educational backgrounds (US allopathic [MD], Doctor of Osteopathic Medicine [DO], and international medical graduates [IMG]) but comparable academic performance have similar match success. OBJECTIVES: Our objective was to compare match probabilities between applicant types after adjusting for specialty choice and United States Medical Licensing Examination (USMLE) Step 1 scores. METHODS: We performed a secondary analysis of published data in National Resident Matching Program (NRMP) reports from 2016, 2018, 2020, and 2022 for US MD seniors, DO seniors, and IMGs (US citizens and non-US citizens). We examined the 10 specialties with the most available spots in 2022. Average marginal effects from a multiple variable logistic regression model were utilized to estimate each non-MD senior applicant type's probability of matching into their preferred specialty compared to MD seniors adjusting for specialty choice, Step 1 score, and match year. RESULTS: Each non-MD applicant type had a lower adjusted percent difference in matching to their preferred specialty than MD seniors, -7.1 % (95 % confidence interval [CI], -11.3 to -2.9) for DO seniors, -45.6 % (-50.6 to -40.5) for US IMGs, and -56.6 % (-61.5 to -51.6) for non-US IMGs. Similarly, each non-MD applicant type had a lower adjusted percent difference in matching than MD seniors across almost all Step 1 score ranges, except for DO seniors with Step 1 scores <200 (-2.0 % [-9.5 to 5.5]). CONCLUSIONS: After adjusting for specialty choice, Step 1 score, and match year, non-US MD applicants had lower probabilities of matching into their preferred specialties than their US MD colleagues.


Subject(s)
Foreign Medical Graduates , Internship and Residency , Osteopathic Medicine , Humans , United States , Osteopathic Medicine/education , Foreign Medical Graduates/statistics & numerical data , Career Choice , Male , Female , Licensure, Medical/statistics & numerical data , Osteopathic Physicians/statistics & numerical data , Educational Measurement , Probability , Adult
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