Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA.
University of Minnesota Medical School, Minneapolis, MN, USA.
J Gen Intern Med. 2022 Jan;37(1):125-129. doi: 10.1007/s11606-021-06744-2. Epub 2021 Mar 31.
With rising applications to internal medicine programs and pending changes in United States Medical Licensing Examination Step 1 score reporting, program directors desire transparent data for comparing applicants. The Department of Medicine Letters of Recommendation (DOM LORs) are frequently used to assess applicants and have the potential to provide clearly defined data on performance including stratification of a medical school class. Despite published guidelines on the expected content of the DOM LOR, these LORs do not always meet that need.
To better understand the degree to which DOM LORs comply with published guidelines.
We reviewed DOM LORs from 146 of 155 LCME-accredited medical schools in the 2019 Match cycle, assessing for compliance with published guidelines.
Adherence to the recommendation for DOM LORs to provide a final characterization of performance relative to peers was low (68/146, 47%). Of those that provided a final characterization, 19/68 (28%) provided a quantitative measure, and 49/68 (72%) provided a qualitative descriptor. Only 17/49 (35%) with qualitative terms described those terms, and thirteen distinct qualitative scales were identified. Ranking systems varied, with seven different titles given to highest performers. Explanations about determination of ranking groups were provided in 12% of cases.
Adherence to published guidelines for DOM LORs varies but is generally low. For program directors desiring transparent data to use in application review, clearly defined data on student performance, stratification groupings, and common language across schools could improve the utility of DOM LORs.
随着内科专业申请人数的增加,以及美国医师执照考试(USMLE)第 1 步成绩报告方式的变化,项目主管希望获得透明的数据来比较申请人。医学系推荐信(DOM LOR)常用于评估申请人,并且有可能提供明确界定的表现数据,包括医学院班级的分层。尽管已经发布了关于 DOM LOR 预期内容的指南,但这些 LOR 并不总是满足这一需求。
更好地了解 DOM LOR 符合已发布指南的程度。
我们回顾了 2019 年 Match 周期中 155 所 LCME 认证医学院中的 146 所的 DOM LOR,评估其对已发布指南的遵守情况。
推荐信对提供相对于同行的最终表现特征的建议的遵守率较低(68/146,47%)。在提供最终特征的信中,19/68(28%)提供了定量衡量标准,而 49/68(72%)提供了定性描述。只有 17/49(35%)具有定性术语的人描述了这些术语,并且确定了 13 种不同的定性尺度。排名系统各不相同,最高表现者有七个不同的称号。在 12%的情况下,提供了关于确定排名组的解释。
对 DOM LOR 发布指南的遵守程度各不相同,但总体上较低。对于希望在申请审查中使用透明数据的项目主管来说,学生表现、分层分组和学校间通用语言的明确数据可以提高 DOM LOR 的效用。