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医学院排名及其他预测因素对2020至2022年骨科手术住院医师匹配的影响

Impact of Medical School Ranking and Other Predictive Factors on the 2020 to 2022 Orthopaedic Surgery Match.

作者信息

Perry Justin, Xie Virginia, Glebocki Richard, Navarro Ronald, Cannada Lisa K

机构信息

Brown University, Providence, Rhode Island.

Bernard J. Tyson School of Medicine, Kaiser Permanente, Pasadena, California.

出版信息

JB JS Open Access. 2025 Jun 20;10(2). doi: 10.2106/JBJS.OA.24.00173. eCollection 2025 Apr-Jun.

Abstract

BACKGROUND

The impact of medical school rank and other demographic and institutional factors on orthopaedic match outcomes remains incompletely understood. This study analyzed match outcomes, controlling for medical school rank, biological sex, geographic location, match year, and other medical school characteristics.

METHODS

Residents who matched from 2020 to 2022 were identified. Medical school US News rankings and residency Doximity rankings were obtained and divided into tiers. Sex, match year, residency and medical school locations, and historically black college and university (HBCU), public, private, allopathic, and osteopathic medical school information was identified from program websites and social media. International students were excluded. Chi square testing, Spearman correlation, and univariate and multivariate logistic regression were performed.

RESULTS

Two thousand five hundred twenty-nine residents in 191 programs were included. From bivariate analysis, there was no association between match year and residency rank (p = 0.909). HBCU data were insufficient. Private and public schools had no difference (p = 0.871). Orphan graduates had worse odds (odds ratio [OR] = 0.136, CI = 0.112, 0.166). When controlling for the other variables, orphan status was insignificant (p = 0.0971). Relative to schools ranked 1 to 23, schools ranked 24 to 46 (AOR = 0.641, CI = 0.465, 0.882), 47 to 69 (adjusted odds ratio [AOR] = 0.0.336, CI = 0.246, 0.459), 70 to 93 (AOR = 0.310, CI = 0.222, 0.435), 95 to 124 (AOR = 0.156, CI = 0.106, 0.230), and unranked (AOR = 0.157, CI = 0.113, 0.217) resulted in worse odds of matching into higher-ranked residencies. Female (AOR = 1.59, CI = 1.33, 1.93) and allopathic students (AOR = 23.6, 16.4, 34.0) had better odds. Students who attended school in the same city as their residency program had better odds (AOR = 1.46), while those who attended school in a different city in the same state had worse (AOR = 0.694, CI = 0.575, 0.836).

CONCLUSIONS

Female sex, medical school rank and location, and allopathic degree impact matching into a higher-ranked orthopaedic residency.

LEVEL OF EVIDENCE

Nonclinical, No Level.

摘要

背景

医学院校排名以及其他人口统计学和院校因素对骨科住院医师匹配结果的影响尚未完全明确。本研究分析了匹配结果,同时控制了医学院校排名、生物性别、地理位置、匹配年份以及其他医学院校特征。

方法

确定了2020年至2022年匹配成功的住院医师。获取了医学院校的《美国新闻与世界报道》排名以及住院医师培训项目的Doximity排名,并将其分为不同等级。从项目网站和社交媒体中确定了性别、匹配年份、住院医师培训项目和医学院校所在地,以及历史悠久的黑人学院和大学(HBCU)、公立、私立、全科医学和骨科医学院校的信息。排除了国际学生。进行了卡方检验、斯皮尔曼相关性分析以及单变量和多变量逻辑回归分析。

结果

纳入了191个项目中的2529名住院医师。从双变量分析来看,匹配年份与住院医师培训项目排名之间无关联(p = 0.909)。HBCU的数据不足。私立学校和公立学校没有差异(p = 0.871)。孤生毕业生匹配成功的几率较低(优势比[OR] = 0.136,CI = 0.112,0.166)。在控制其他变量后,孤生身份变得不显著(p = 0.0971)。相对于排名1至23的学校,排名24至46的学校(校正优势比[AOR] = 0.641,CI = 0.465,0.882)、47至69的学校(校正优势比[AOR] = 0.336,CI = 0.246,0.459)、70至93的学校(AOR = 0.310,CI = 0.222,0.435)、95至124的学校(AOR = 0.156,CI = 0.106,0.230)以及未排名的学校(AOR = 0.157,CI = 0.113,0.217)匹配到更高排名住院医师培训项目的几率更低。女性(AOR = 1.59,CI = 1.33,1.93)和全科医学学生(AOR = 23.6,16.4,34.0)匹配成功的几率更高。在其住院医师培训项目所在城市上学的学生匹配成功的几率更高(AOR = 1.46),而在同一州的不同城市上学的学生几率更低(AOR = 0.694,CI = 0.575,0.836)。

结论

女性、医学院校排名和地理位置以及全科医学学位会影响匹配到更高排名的骨科住院医师培训项目。

证据级别

非临床,无级别。

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