Abstract：
BACKGROUND: 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.
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.
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.
摘要：
背景：未知美国居住申请人是否具有不同的教育背景（美国对抗疗法[MD]，骨科医学博士[DO]，和国际医学毕业生[IMG])，但可比的学业成绩也有类似的匹配成功。
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.
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.
