Justin Perry, Virginia Xie, Richard Glebocki, Ronald Navarro, Lisa K Cannada
{"title":"医学院排名及其他预测因素对2020 - 2022年骨科比赛的影响","authors":"Justin Perry, Virginia Xie, Richard Glebocki, Ronald Navarro, Lisa K Cannada","doi":"10.2106/JBJS.OA.24.00173","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>Female sex, medical school rank and location, and allopathic degree impact matching into a higher-ranked orthopaedic residency.</p><p><strong>Level of evidence: </strong>Nonclinical, No Level.</p>","PeriodicalId":36492,"journal":{"name":"JBJS Open Access","volume":"10 2","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12178298/pdf/","citationCount":"0","resultStr":"{\"title\":\"Impact of Medical School Ranking and Other Predictive Factors on the 2020 to 2022 Orthopaedic Surgery Match.\",\"authors\":\"Justin Perry, Virginia Xie, Richard Glebocki, Ronald Navarro, Lisa K Cannada\",\"doi\":\"10.2106/JBJS.OA.24.00173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusions: </strong>Female sex, medical school rank and location, and allopathic degree impact matching into a higher-ranked orthopaedic residency.</p><p><strong>Level of evidence: </strong>Nonclinical, No Level.</p>\",\"PeriodicalId\":36492,\"journal\":{\"name\":\"JBJS Open Access\",\"volume\":\"10 2\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12178298/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JBJS Open Access\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2106/JBJS.OA.24.00173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/4/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"ORTHOPEDICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JBJS Open Access","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2106/JBJS.OA.24.00173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0
摘要
背景:医学院排名和其他人口统计学和制度因素对骨科匹配结果的影响尚不完全清楚。本研究分析了比赛结果,控制了医学院排名、生物学性别、地理位置、比赛年份和其他医学院特征。方法:选取2020 - 2022年匹配的居民。医学院US News排名和住院医师邻近度排名,并进行了分级。性别、比赛年份、住院医师和医学院位置、历史上的黑人学院和大学(HBCU)、公立、私立、对抗疗法和整骨疗法医学院的信息从项目网站和社交媒体中被识别出来。国际学生被排除在外。卡方检验、Spearman相关、单因素和多因素logistic回归。结果:纳入191个项目的2,529名居民。从双变量分析来看,比赛年份与住院医师等级之间没有相关性(p = 0.909)。HBCU数据不足。处理步骤私立学校与公立学校差异无统计学意义(p = 0.871)。孤儿毕业生的比例更低(比值比[OR] = 0.136, CI = 0.112, 0.166)。在控制其他变量后,孤儿状态不显著(p = 0.0971)。相对于排名1至23的学校,排名24至46的学校(AOR = 0.641, CI = 0.465, 0.882)、47至69的学校(调整后的比值比[AOR] = 0.0.336, 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)和未排名的学校(AOR = 0.157, CI = 0.113, 0.217)与排名较高的医院匹配的几率较低。女性(AOR = 1.59, CI = 1.33, 1.93)和对抗疗法学生(AOR = 23.6, 16.4, 34.0)的胜算更大。在同一城市上学的学生有更好的机会(AOR = 1.46),而在同一州不同城市上学的学生有更差的机会(AOR = 0.694, CI = 0.575, 0.836)。结论:女性性别、医学院排名、医学院所在地和对抗疗法程度影响匹配到更高排名的骨科住院医师。证据级别:非临床,无级别。
Impact of Medical School Ranking and Other Predictive Factors on the 2020 to 2022 Orthopaedic Surgery Match.
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.