Correlation of Ophthalmology Residency Application Characteristics with Subsequent Performance in Residency.

Brett M Gudgel, Andrew T Melson, Justin Dvorak, Kai Ding, R Michael Siatkowski
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引用次数: 2

Abstract

Purpose  Only from reviewing applications, it is difficult to identify which applicants will be successful ophthalmology residents. The change of the USMLE Step 1 scoring to "Pass/Fail" removes another quantitative metric. We aimed to identify application attributes correlated with successful residency performance. This study also used artificial intelligence (AI) to evaluate letters of recommendation (LOR), the Dean's letter (MSPE), and personal statement (PS). Design  Retrospective analysis of application characteristics versus residency performance was conducted. Participants  Residents who graduated from the Dean McGee Eye Institute/University of Oklahoma Ophthalmology residency from 2004 to 2019 were included in this study. Methods  Thirty-four attributes were recorded from each application. Residents were subjectively ranked into tertiles and top and bottom deciles based on residency performance by faculty present during their training. The Ophthalmic Knowledge Assessment Program (OKAP) examination scores were used as an objective performance metric. Analysis was performed to identify associations between application attributes and tertile/decile ranking. Additional analysis used AI and natural language processing to evaluate applicant LORs, MSPE, and PS. Main Outcome Measures  Characteristics from residency applications that correlate with resident performance were the primary outcome of this study. Results  Fifty-five residents and 21 faculty members were included. A grade of "A" or "Honors" in the obstetrics/gynecology (OB/GYN) clerkship and the presence of a home ophthalmology department were associated with ranking in the top tertile but not the top decile. Mean core clerkship grades, medical school ranking in the top 25 U.S. News and World Report (USNWR) primary care rankings, and postgraduate year (PGY)-2 and PGY-3 OKAP scores were predictive of being ranked in both the top tertile and the top decile. USMLE scores, alpha-omega-alpha (AOA) status, and number of publications did not correlate with subjective resident performance. AI analysis of LORs, MSPE, and PS did not identify any text features that correlated with resident performance. Conclusions  Many metrics traditionally felt to be predictive of residency success (USMLE scores, AOA status, and research) did not predict resident success in our study. We did confirm the importance of core clerkship grades and medical school ranking. Objective measures of success such as PGY-2 and PGY-3 OKAP scores were associated with high subjective ranking.

眼科住院医师申请特点与后续住院医师表现的相关性。
目的仅通过审核申请,很难确定哪些申请人将成为成功的眼科住院医师。将USMLE第1步评分改为“及格/不及格”删除了另一个定量指标。我们的目标是确定与成功驻留表现相关的应用程序属性。这项研究还使用人工智能(AI)来评估推荐信(LOR)、院长信(MSPE)和个人陈述(PS)。设计回顾性分析应用特性与住院医师表现的关系。2004年至2019年毕业于Dean McGee眼科研究所/俄克拉荷马大学眼科住院医师的住院医师被纳入本研究。方法记录34项属性。根据培训期间在场的教师的住院医师表现,将住院医师主观地分为前十分位和后十分位。使用眼科知识评估计划(OKAP)考试分数作为客观绩效指标。进行分析以确定应用程序属性与分位数/十分位数排名之间的关联。其他分析使用人工智能和自然语言处理来评估申请人的LORs、MSPE和PS。主要结果测量与住院医师表现相关的住院医师申请特征是本研究的主要结果。结果纳入住院医师55名,教职工21名。产科/妇科(OB/GYN)实习成绩为“A”或“荣誉”以及拥有家庭眼科与排名前五分之一相关,但与排名前十分之一无关。平均核心实习成绩、医学院在《美国新闻与世界报道》(USNWR)初级保健排名中排名前25位,以及研究生学年(PGY)-2和PGY-3 OKAP分数都预示着排名在前五分之一和前十分之一。USMLE评分、α -omega- α (AOA)状态和出版物数量与主观住院表现无关。LORs、MSPE和PS的人工智能分析没有发现任何与住院医生表现相关的文本特征。结论:在我们的研究中,许多传统上被认为可以预测住院医师成功的指标(USMLE分数、AOA状态和研究)并不能预测住院医师成功。我们确实确认了核心见习成绩和医学院排名的重要性。客观衡量成功的指标,如PGY-2和PGY-3 OKAP得分与较高的主观排名相关。
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