Reghunathan Meera, Carbullido Mary Kristine, Blum Jessica, Wong Serena, Gosman Amanda A
From the Department of Surgery, Division of Plastic Surgery, the School of Medicine, and Undergraduate Education, University of California, San Diego; and School of Medicine, University of Wisconsin.
Plast Reconstr Surg. 2022 May 1;149(5):1022e-1031e. doi: 10.1097/PRS.0000000000008991. Epub 2022 Mar 21.
In the last few decades, standardized letters of recommendation have seen increasing popularity among various medical specialties and have been shown to demonstrate score inflation and gender bias in some select specialties. Through analysis of standardized letter of recommendation scoring patterns, this study evaluated the impact of race and gender on performance in standardized letters of recommendation and provides suggestions for programs to optimally interpret standardized letters of recommendation and minimize bias when writing letters of recommendation.
Available standardized letters of recommendation were those from interviewed applicants to the integrated plastic surgery program between 2015 and 2018 (82 total applicants) and all applicants in the year of 2019 (241 total applicants). Various standardized letters of recommendation component scores were analyzed by demographics of both applicants and letter writers, including descriptive statistics, analysis of variance, t testing, and Fleiss kappa for interrater reliability using SPSS software (IBM, Armonk, N.Y.).
No scoring category had an average score below the eighty-fifth percentile. Male letter writers scored male applicants significantly higher in Overall, Conscientiousness, Self-Initiative, and Academic Performance components, whereas female letter writers scored female applicants higher in Communication and Overall components. In the 2019 cohort, applicants of a minority race received lower scores on average in nine out of 10 categories, a difference that was significant in the Team Player category.
Score inflation pervades standardized letters of recommendation scoring in plastic surgery. Work must be done by letter writers to help mitigate racial and gender biases that influence recommendations for resident selection in plastic surgery.
在过去几十年中,标准化推荐信在各个医学专业中越来越受欢迎,并且在某些特定专业中已显示出分数膨胀和性别偏见。通过对标准化推荐信评分模式的分析,本研究评估了种族和性别对标准化推荐信表现的影响,并为各项目提供建议,以最佳方式解读标准化推荐信,并在撰写推荐信时尽量减少偏见。
可获取的标准化推荐信来自2015年至2018年接受综合整形外科项目面试的申请人(共82名申请人)以及2019年的所有申请人(共241名申请人)。使用SPSS软件(IBM,纽约州阿蒙克),通过申请人和推荐信撰写人的人口统计学数据对各种标准化推荐信的组成部分分数进行分析,包括描述性统计、方差分析、t检验以及用于评估评分者间信度的Fleiss卡方检验。
没有一个评分类别平均得分低于第85百分位。男性推荐信撰写人在整体、尽责性、自我主动性和学术表现等方面给男性申请人的评分显著更高,而女性推荐信撰写人在沟通和整体方面给女性申请人的评分更高。在2019年的队列中,少数族裔申请人在10个类别中的9个类别中平均得分较低,在团队合作类别中差异显著。
整形外科标准化推荐信评分中普遍存在分数膨胀现象。推荐信撰写人必须努力减轻影响整形外科住院医师选拔推荐的种族和性别偏见。