Marbin Jyothi, Rosenbluth Glenn, Brim Rachel, Cruz Edward, Martinez Alma, McNamara Margaret
All authors are with the University of California San Francisco.
is Associate Professor of Pediatrics, and Associate Program Director, Pediatrics Residency Program.
J Grad Med Educ. 2021 Apr;13(2):195-200. doi: 10.4300/JGME-D-20-01024.1. Epub 2021 Feb 25.
Many programs struggle to recruit, select, and match a diverse class of residents, and the most effective strategies for holistic review of applications to enhance diversity are not clear.
We determined if holistic pediatric residency application review guided by frameworks that assess for bias along structural, interpersonal, and individual levels would increase the number of matched residents from racial and ethnic groups that are underrepresented in medicine (UiM).
Between 2017 and 2020, University of California San Francisco Pediatrics Department identified structural, interpersonal, and individual biases in existing selection processes and developed mitigation strategies in each area. Interventions included creating a shared mental model of desirable qualities in residents, employing a new scoring rubric, intentional inclusion of UiM faculty and trainees in the selection process, and requiring anti-bias training for everyone involved with recruitment and selection.
Since implementing these changes, the percentage of entering interns who self-identify as UIM increased from 11% in 2015 to 45% (OR 6.8, = .008) in 2019 and to 35% (OR 4.6, = .035) in 2020.
Using an equity framework to guide implementation of a pediatric residency program's holistic review of applications increased the numbers of matched UiM residents over a 3-year period.
许多项目在招募、选拔和匹配多样化的住院医师群体方面面临困难,而通过全面审查申请来提高多样性的最有效策略尚不清楚。
我们确定,在评估结构、人际和个人层面偏见的框架指导下进行全面的儿科住院医师申请审查,是否会增加医学领域代表性不足的种族和族裔群体中匹配的住院医师数量。
2017年至2020年期间,加利福尼亚大学旧金山分校儿科学系在现有选拔过程中识别出结构、人际和个人层面的偏见,并在每个领域制定了缓解策略。干预措施包括创建住院医师理想特质的共享心理模型、采用新的评分标准、有意让医学领域代表性不足的教员和学员参与选拔过程,以及要求参与招聘和选拔的每个人接受反偏见培训。
自实施这些变革以来,自我认定为医学领域代表性不足群体的新入职实习生比例从2015年的11%增至2019年的45%(比值比6.8,P = 0.008),并在2020年增至35%(比值比4.6,P = 0.035)。
在三年时间里,使用公平框架指导儿科住院医师项目对申请进行全面审查,增加了医学领域代表性不足群体中匹配的住院医师数量。