Key factors for residency interview selection from the National Resident Matching Program: analysis of residency Program Director surveys, 2016–2020

Author:

Stone Cooper L.1ORCID,Dogbey Godwin Y.2ORCID,Falls John2,Kuo Yen-Ping2ORCID

Affiliation:

1. Department of Psychiatry & Human Behavior , Thomas Jefferson University Hospital , Philadelphia , PA , USA

2. Jerry M. Wallace School of Osteopathic Medicine , Campbell University , Lillington , NC , USA

Abstract

Abstract Context As the number of medical school graduates continues to outpace the available residency training positions, applying for residency in the United States has become a highly competitive process, often associated with a low rate of selection and invitation for interview. The National Resident Matching Program (NRMP) Program Director survey provides data assessing factors considered by Program Directors (PD) in selecting and inviting candidates for interview. Assessing the evolution of these factors over time is efficacious to inform and guide prospective applicants toward improving preparation for residency application. Objectives We aim to synthesize NRMP data showing factors that PDs reported and rated as important in their decision to select and invite applicants for interview. Methods Data from residency PD surveys from 2008 to 2021 were accessed, but after applying inclusion/exclusion criteria, only the data from 2016 to 2020 were reviewed and analyzed. The NRMP survey reports provided two metrics that characterized PDs’ evaluation of the residency factors for interview, namely, “percent citing factor” and “average rating” on a 0 to 5 Likert-type scale. These two metrics were combined into an aggregate measure of importance (AI), and another measure of relative importance (RI) was constructed from normalizing the AI of each individual factor to the sum of the AI within each survey year. Results The top ranked factors were United States Medical Licensing Examination (USMLE) Step 1/Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Level 1, Letter of Recommendation (LOR) in the specialty, Medical Student Performance Evaluation (MSPE/Dean’s Letter), and USMLE Step 2 Clinical Knowledge (CK)/COMLEX Level 2 Cognitive Exam (CE) score, any failed attempt in USMLE/COMLEX, and perceived commitment to specialty. Factors rising in importance were Audition Elective/Rotation Within Your Department, Personal Statement (PS), Perceived Commitment to Specialty, Perceived Interest in Program, LOR in the Specialty, Other Life Experience, and Personal Prior Knowledge of the Applicant. Factors with declining importance were Interest in Academic Career, Awards or Special Honors in Basic Sciences, Graduate of Highly Regarded US Medical School, Awards or Special Honors in Clinical Clerkships, Lack of Gaps in Medical Education, Awards or Special Honors in Clerkship in Desired Specialty, and Consistency of Grades. Compared to the 2021 PD survey, our findings show continued predictive consistency, particularly related to specialty and program commitment. Conclusions The factors identified for the selection of medical school graduates for interview into a residency program reveal that PDs move toward a more integrated approach. Specifically, PDs are placing increasing emphasis on factors that border on subjective qualities more so than the more traditional, quantitative, and objective metrics. Medical students and educators need to continually apprise themselves of the NRMP data to inform students’ preparation endeavors throughout medical school to strengthen their application portfolios and enhance their competitiveness for the matching process.

Publisher

Walter de Gruyter GmbH

Subject

Complementary and alternative medicine,Complementary and Manual Therapy

Reference20 articles.

1. Results and Data: 2021 Main Residency Match. National Resident Matching Program. https://www.nrmp.org/match-data-analytics/residency-data-reports/ [Accessed 14 May 2021].

2. Gruppuso, PA, Adashi, EY. Residency placement fever: is it time for a reevaluation? Acad Med 2017;92:923–6. https://doi.org/10.1097/ACM.0000000000001468.

3. ERAS Statistics. Association of American Medical Colleges. https://www.aamc.org/data-reports/interactive-data/eras-statistics-data [Accessed 21 December 2021].

4. Chang, CW, Erhardt, BF. Rising residency applications: how high will it go? Otolaryngol Head Neck Surg 2015;153:702–5. https://doi.org/10.1177/0194599815597216.

5. Mann, S. How many residency applications? AAMC.org Web site updated 2019. https://www.aamc.org/news-insights/how-many-residency-applications [Accessed 4 July 2022].

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3