OBJECTIVE: 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.
目的:我们的目的是在调整专业选择和美国医学执照考试(USMLE)第1步分数后,比较申请人类型之间的匹配概率。
方法:我们对2016年,2018年,2020年和2022年美国MD老年人的国家居民匹配计划(NRMP)报告中已发布的数据进行了二次分析。做老年人,和IMGs(美国公民和非美国公民)。我们在2022年检查了拥有最多可用地点的10个专业。使用多变量逻辑回归模型的平均边际效应来估计每个非MD高级申请人类型匹配到其首选专业的概率,与根据专业选择进行调整的MD老年人相比,第一步得分,比赛年。
结果:每种非MD申请人类型在匹配其首选专业方面的调整百分比差异低于MD老年人,-7.1%(95%置信区间[CI],-11.3至-2.9)适用于DO老年人,美国IMG的-45.6%(-50.6至-40.5),非美国IMG为-56.6%(-61.5至-51.6)。同样,在几乎所有第1步得分范围内,每种非MD申请人类型的匹配调整百分比差异均低于MD老年人,除了第1步得分<200(-2.0%[-9.5至5.5])的DO老年人。
结论:调整专业选择后,第一步得分,和比赛年份,非美国医学博士申请人与他们的美国医学博士同事相比,他们的首选专业匹配概率较低.