Can Preference Signaling Streamline the Applicant Selection Process?

IF 2.1
Jeffrey Melvin, Luise I Pernar, Aaron Richman, Donald T Hess
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Abstract

Objective: In the 2022 match cycle preference signaling was introduced to general surgery. For 3 years (2022-2024) each applicant was able to use 5 signals to indicate a preference for a program. In 2024, the average number of ranked programs among applicants was 12 demonstrating that programs were creating their interview list beyond those who signaled. For the 2025 match cycle, the number of signals rose to 15 which allowed our program to review and offer interviews to only those applicants who signaled a preference. We compare the key demographics of applicants for the 2023, 2024 and 2025 match cycle to see if there was a difference with this approach.

Design, setting, and participants: At our academic medical center, to create our interview list, each year we holistically review approximately 300 applications using a scoring rubric, with each application reviewed by the PD or APD, and a second faculty member. In 2023, 761 applications were screened by a diverse group of faculty in a labor-intensive process to reach the 300 applications. In 2024, the group of 300 was created partially from those who signaled (148) with the balance selected again by a diverse group of faculty. In 2025 the entire list was created from applicants who signaled us, eliminating entirely this first step in our screening. To evaluate differences in the approaches, we looked at the following variables in each of the groups selected for holistic review: gender, race, geographic region of medical school, reviewer score and step 2 score. We performed chi squared analysis for the categorical variables and t-test for continuous variables using R. ANOVA analysis was used when comparing continuous variables for all 3 groups RESULTS: There was no significant difference in the demographics of applicants that underwent holistic review between the 3 years. In 2024, there was no difference in demographics of holistically reviewed applicants between faculty chosen applicants and applicants who preference signaled.

Conclusions: Using signals only as a method to screen applicants saved a step in the review process without affecting the demographics of applicants. Preference signaling can be a valuable tool to streamline the interview selection process with little impact on the quality and demographics of the group.

偏好信号可以简化申请人的选择过程吗?
目的:将2022年匹配周期偏好信号引入普外科。在3年(2022-2024)的时间里,每个申请人都能够使用5个信号来表示对一个项目的偏好。2024年,申请人中排名的项目平均数量为12个,这表明这些项目正在创建他们的面试名单,而不仅仅是那些发出信号的项目。在2025年的匹配周期中,信号数量上升到15个,这使得我们的项目能够审查并只对那些表示偏好的申请人提供面试。我们比较了2023年、2024年和2025年匹配周期的申请人的关键人口统计数据,看看这种方法是否有不同。设计、设置和参与者:在我们的学术医疗中心,为了创建我们的面试名单,每年我们使用评分标准全面审查大约300份申请,每份申请由PD或APD和另一名教员审查。2023年,761份申请被不同的教师群体在劳动密集型的过程中筛选,最终达到300份申请。在2024年,300人的小组部分是由148人组成的,其余的是由不同的教师小组重新选出的。到2025年,整个名单都是由向我们发出信号的申请人创建的,完全取消了我们筛选的第一步。为了评估方法的差异,我们在选择进行整体评价的每个组中查看了以下变量:性别、种族、医学院的地理区域、审稿人得分和第2步得分。我们对分类变量进行卡方分析,对连续变量使用r进行t检验,对所有三组的连续变量进行方差分析。结果:在三年内,接受整体评估的申请人的人口统计学特征没有显著差异。在2024年,在全面审查的申请人中,学院选择的申请人和偏好信号的申请人在人口统计学上没有差异。结论:仅使用信号作为筛选申请人的方法,在不影响申请人人口统计学的情况下,节省了审查过程中的一步。偏好信号可以是简化面试选择过程的一个有价值的工具,对小组的质量和人口统计影响很小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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