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对美国opathic医学学生实施全面审查程序可消除普通外科住院医师面试邀请中的不可比指标和偏见。

Implementation of a Holistic Review Process of US Allopathic Medical Students Eliminates Non-Comparable Metrics and Bias in General Surgery Residency Interview Invitations.

作者信息

Lai Samuel H, Suarez-Pierre Alejandro, Jaiswal Kshama, Travis Claire, Steward Lauren, Nehler Mark, Zweck-Bronner Steve, Christian Nicole

机构信息

Department of Surgery, University of Colorado School of Medicine, Aurora, Colorado.

University of Colorado Anschutz Medical Campus, Office of University Counsel, Aurora, Colorado.

出版信息

J Surg Educ. 2023 Nov;80(11):1536-1543. doi: 10.1016/j.jsurg.2023.07.008. Epub 2023 Jul 27.

Abstract

OBJECTIVE

Use of traditional scoring metrics for residency recruitment creates racial and gender bias. In addition, widespread use of pass/fail grading has led to noncomparable data. To adjust to these challenges, we developed a holistic review (HR) rubric for scoring residency applicants for interview selection.

DESIGN

Single-center observational study comparing the proportion of underrepresented in medicine (URM) students and their United States Medical Licensing Exam (USMLE) scores who were invited for interview before (2015-2020) and after (2022) implementation of a holistic review process.

SETTING

General surgery residency program at a tertiary academic center.

PARTICIPANTS

US allopathic medical students applying for general surgery residency.

RESULTS

After initial screening, a total of 1514 allopathic applicants were narrowed down to 586 (38.7%) for HR. A total of 52% were female and 17% identified as URM. Based on HR score, 20% (118/586) of applicants were invited for an interview. The median HR score was 11 (range 4-19). There was a fourfold higher coefficient of variation of HR scores (22.3; 95% CI 21.0-23.7) compared to USMLE scores (5.1; 95% Cl 4.8-5.3), resulting in greater spread and distinction among applicants. There were no significant differences in HR scores between genders (p = 0.60) or URM vs non-URM (p = 0.08). There were no significant differences in Step 1 (p = 0.60) and 2CK (p = 0.30) scores between those who were invited to interview or not. On multivariable analysis, USMLE scores (OR 1.01; 95% CI 0.98-1.03), URM status (OR 1.71 95% CI 0.98-2.92), and gender (OR 0.94, 95% CI 0.60-1.45) did not predict interview selection (all p > 0.05). There was a meaningful increase in the percentage of URM interviewed after HR implementation (12.9% vs 23.1%, p = 0.016).

CONCLUSION

The holistic review process is feasible and eliminates the use of noncomparable metrics for surgical applicant interview invitations and increases the percentage of URM applicants invited to interview.

摘要

目的

使用传统的住院医师招聘评分指标会产生种族和性别偏见。此外,广泛采用的及格/不及格评分方式导致数据缺乏可比性。为应对这些挑战,我们开发了一种整体评估(HR)评分标准,用于对住院医师申请人进行面试选拔评分。

设计

单中心观察性研究,比较在实施整体评估流程之前(2015 - 2020年)和之后(2022年),医学领域代表性不足(URM)学生的比例及其美国医师执照考试(USMLE)成绩,以及被邀请参加面试的情况。

地点

一所三级学术中心的普通外科住院医师项目。

参与者

申请普通外科住院医师职位的美国全科医学学生。

结果

初步筛选后,共有1514名全科医学申请人被缩减至586名(38.7%)进入整体评估。其中52%为女性,17%为URM。根据整体评估分数,20%(118/586)的申请人被邀请参加面试。整体评估分数的中位数为11分(范围4 - 19分)。与USMLE分数(5.1;95%CI 4.8 - 5.3)相比,整体评估分数的变异系数高出四倍(22.3;95%CI 21.0 - 23.7),这使得申请人之间的分数分布更分散、区分度更大。不同性别(p = 0.60)或URM与非URM(p = 0.08)之间的整体评估分数无显著差异。受邀参加面试和未受邀参加面试者在第一步考试(p = 0.60)和第二步临床知识考试(2CK,p = 0.30)的分数上无显著差异。多变量分析显示,USMLE分数(OR 1.01;95%CI 0.98 - 1.03)、URM身份(OR 1.71,95%CI 0.98 - 2.92)和性别(OR 0.94,95%CI 0.60 - 1.45)均不能预测面试选拔结果(所有p > 0.05)。实施整体评估后,接受面试的URM学生比例有显著增加(12.9%对23.1%,p = 0.016)。

结论

整体评估流程是可行的,消除了在外科申请人面试邀请中使用缺乏可比性的指标,并提高了受邀参加面试的URM申请人的比例。

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