From the Department of Orthopaedic Surgery, Keck School of Medicine of USC, Los Angeles, CA (Kotlier, Petrigliano, and Liu), and the Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX (Mihalic).
J Am Acad Orthop Surg. 2024 Mar 1;32(5):e231-e239. doi: 10.5435/JAAOS-D-23-00613. Epub 2023 Dec 27.
As of the 2022 to 2023 match cycle, orthopaedic residency programs began offering applicants 30 signals as part of a preference signaling program. Many have assumed that signals would become powerful tools in the match process, yet no objective data currently exist analyzing their effect. This study aims to provide such analysis while also offering comparisons with other factors affecting match success.
Self-reported survey data on applicants and applications from 2017 to 2023 from the Texas Seeking Transparency in Application to Residency database were queried. Variables associated with receiving interviews and match success were analyzed using two-sided Student t -tests, chi-squared tests, variance ratio testing, and receiver operating characteristic analysis.
Compared with 2017 to 2022, 2023 applicants submitted fewer applications (61.8 versus 78; P < 0.001), received fewer interview offers (11.6 versus 13.8; P < 0.001), and interview offers were spread more evenly among applicants (SD, 6.82 versus 9.10; P < 0.001). For 2023 applications, odds of securing an interview were increased most by away rotations (odds ratios [OR] 61.8; P < 0.001), use of a signal (OR, 9.61; P < 0.001), and geographic connection (OR, 4.70; P < 0.001). Female applicants received more interview offers from signaled programs than their male counterparts (11.2 versus 8.94; P = 0.003). Applicant variables most predictive of match success in 2023 were interview offers (area under the receiver operating characteristic curve [AUC] = 0.802), step 2 CK score (AUC = 0.673), and step 1 score (AUC = 0.648).
The preference signaling program seems to be accomplishing its goals of reducing applications and more evenly distributing interviews. Away rotations, signals, and geographic connections represent the strongest predictors of applications resulting in a successful match. Applicants must use their signals carefully to maximize their chance of success.
Level III.
截至 2022 至 2023 年的匹配周期,骨科住院医师培训计划开始向申请者提供 30 个信号,作为偏好信号计划的一部分。许多人认为信号将成为匹配过程中的有力工具,但目前尚无客观数据分析其效果。本研究旨在提供此类分析,同时与影响匹配成功的其他因素进行比较。
从德克萨斯州寻求住院医师申请透明度数据库中查询了 2017 年至 2023 年申请人和申请的自我报告调查数据。使用双尾 Student t 检验、卡方检验、方差比检验和受试者工作特征分析,分析与获得面试和匹配成功相关的变量。
与 2017 至 2022 年相比,2023 年的申请者提交的申请较少(61.8 份比 78 份;P < 0.001),收到的面试邀请较少(11.6 份比 13.8 份;P < 0.001),面试邀请在申请者之间的分布更加均匀(标准差,6.82 比 9.10;P < 0.001)。对于 2023 年的申请,获得面试的机会增加最多的是轮岗(优势比[OR]61.8;P < 0.001)、使用信号(OR,9.61;P < 0.001)和地理位置联系(OR,4.70;P < 0.001)。与男性申请者相比,使用信号的女性申请者收到的信号计划面试邀请更多(11.2 份比 8.94 份;P = 0.003)。2023 年匹配成功的申请人最重要的预测变量是面试邀请(受试者工作特征曲线下面积[AUROC]为 0.802)、第 2 步 CK 分数(AUROC 为 0.673)和第 1 步分数(AUROC 为 0.648)。
偏好信号计划似乎正在实现其减少申请和更均匀分配面试的目标。轮岗、信号和地理位置联系是申请成功匹配的最强预测因素。申请者必须谨慎使用他们的信号,以最大限度地提高成功的机会。
3 级。