Racial and Ethnic Bias in Letters of Recommendation in Academic Medicine: A Systematic Review

Author:

Deshpande Saarang R.ORCID,Lepore GinaORCID,Wieland LilyORCID,Kogan Jennifer R.ORCID

Abstract

Abstract Purpose Letters of recommendations (LORs) are key components of academic medicine applications. Given that bias against students and trainees underrepresented in medicine (UIM) has been demonstrated across assessment, achievement, and advancement domains, the authors reviewed studies on LORs to assess racial, ethnic, and UIM differences in LORs. Standardized LORs (SLORs), an increasingly common form of LORs, were also assessed for racial and ethnic differences. Method A systematic review was conducted for English-language studies that assessed racial or ethnic differences in LORs in academic medicine published from database inception to July 16, 2023. Studies evaluating SLORs underwent data abstraction to evaluate their impact on the given race or ethnicity comparison and outcome variables. Results Twenty-three studies describing 19,012 applicants and 41,925 LORs were included. Nineteen studies (82.6%) assessed LORs for residency, 4 (17.4%) assessed LORs for fellowship, and none evaluated employment or promotion. Fifteen of 17 studies (88.2%) assessing linguistic differences reported a significant difference in a particular race or ethnicity comparison. Of the 7 studies assessing agentic language (e.g., “strong,” “confident”), 1 study found fewer agentic terms used for Black and Latinx applicants, and 1 study reported higher agency scores for Asian applicants and applicants of races other than White. There were mixed results for the use of communal and grindstone language in UIM and non-UIM comparisons. Among 6 studies, 4 (66.7%) reported that standout language (e.g., “exceptional,” “outstanding”) was less likely to be ascribed to UIM applicants. Doubt-raising language was more frequently used for UIM trainees. When SLORs and unstructured LORs were compared, fewer linguistic differences were found in SLORs. Conclusions There is a moderate bias against UIM candidates in the domains of linguistic differences, doubt-raising language, and topics discussed in LORs, which has implications for perceptions of competence and ability in the high-stakes residency and fellowship application process.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Letters of Reference in the Current Era;Academic Medicine;2024-05-23

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3