Haag Jennifer, Sanders Brooke E, Walker Keach Joseph, Lefkowits Carolyn, Sheeder Jeanelle, Behbakht Kian
Department of Obstetrics & Gynecology, University of Colorado Anschutz Medical Campus, Aurora CO 80045, USA.
Department of Obstetrics & Gynecology, Division of Gynecologic Oncology, University of Colorado Anschutz Medical Campus, Aurora CO 80045, USA.
Gynecol Oncol Rep. 2022 Jan 26;39:100935. doi: 10.1016/j.gore.2022.100935. eCollection 2022 Feb.
Biases in application review may limit access of applicants who are underrepresented in medicine (URM) to graduate medical training opportunities. We aimed to evaluate the association between blinding interviewers to written applications and final ranking of all applicants and URM applicants for Gynecologic Oncology fellowship. During 2020 virtual Gynecologic Oncology fellowship interviews, we blinded one group of interviewers to written applications, including self-reported URM status. Interviewers visually interacted with the applicants but did not review their application. Interviewers submitted independent rank lists. We compared pooled rankings of blinded and non-blinded interviewers for all applicants and for URM applicants using appropriate bivariate statistics. We received 94 applications for two positions through the National Resident Matching Program, of which 18 (19%) self-identified as URM. We invited 40 applicants to interview and interviewed 30 applicants over six sessions. Ten interviewees (33%) self-identified as URM. Of 12 or 13 faculty interviewers during each interview session, 3 or 4 were blinded to the written application. There was no statistically significant difference in rank order when comparing blinded to non-blinded interviewers overall. However, blinded interviewers ranked URM applicants higher than non-blinded interviewers (p = 0.04). Blinding of written application metrics may allow for higher ranking of URM individuals.
申请评审中的偏见可能会限制医学领域中代表性不足的申请人(URM)获得研究生医学培训机会。我们旨在评估面试人员对书面申请进行盲评与所有申请人以及妇科肿瘤学研究员项目的URM申请人最终排名之间的关联。在2020年妇科肿瘤学研究员项目的虚拟面试中,我们让一组面试人员对书面申请进行盲评,包括自我报告的URM身份。面试人员与申请人进行视觉互动,但不查看他们的申请。面试人员提交独立的排名清单。我们使用适当的双变量统计方法比较了所有申请人以及URM申请人在盲评和非盲评面试人员中的综合排名。通过全国住院医师匹配计划,我们收到了94份申请两个职位的材料,其中18份(19%)自我认定为URM。我们邀请了40名申请人参加面试,并在六个场次中面试了30名申请人。10名面试者(33%)自我认定为URM。在每次面试场次的12名或13名教员面试人员中,有3名或4名对书面申请进行盲评。总体而言,比较盲评和非盲评面试人员时,排名顺序没有统计学上的显著差异。然而,盲评面试人员对URM申请人的排名高于非盲评面试人员(p = 0.04)。对书面申请指标进行盲评可能会使URM个体获得更高排名。