Suppr超能文献

急诊医学领域的空缺情况:按项目认证、所属机构及地理位置对2022年和2023年住院医师匹配情况的分析

Unfilled in emergency medicine: An analysis of the 2022 and 2023 Match by program accreditation, ownership, and geography.

作者信息

Gettel Cameron J, Bennett Christopher L, Rothenberg Craig, Smith Jessica L, Goldflam Katja, Sun Wendy W, Venkatesh Arjun K

机构信息

Department of Emergency Medicine Yale School of Medicine New Haven Connecticut USA.

Department of Emergency Medicine Stanford University School of Medicine Stanford California USA.

出版信息

AEM Educ Train. 2023 Aug 18;7(4):e10902. doi: 10.1002/aet2.10902. eCollection 2023 Aug.

Abstract

BACKGROUND

The two most recent National Resident Matching Program (NRMP) Match cycles saw a high number of initially unfilled emergency medicine (EM) residency positions. We sought to identify the risk of EM residency program characteristics including accreditation duration, primary clinical site ownership status, and geography pertaining to not initially filling all positions.

METHODS

We performed a repeated cross-sectional observational study of EM residency programs participating in the 2022 and 2023 NRMP Match cycles and used publicly available data from the NRMP, the Accreditation Council for Graduate Medical Education, the Centers for Medicare & Medicaid Services, and the U.S. Department of Housing and Urban Development. Our primary outcome was the proportion of EM residency programs that did not initially fill positions, with analyses stratified by accreditation duration (>5 or ≤5 years), primary clinical site ownership status, and geographic core-based statistical areas (CBSAs).

RESULTS

A total of 219 of 2921 (7.5%) positions in the 2022 Match and 554 of 3010 (18.4%) positions in the 2023 Match were initially unfilled. Over the 2-year period, EM residency programs accredited within the past 5 years had more than double the risk (relative risk [RR] 2.08, 95% confidence interval [CI] 1.69-2.57, chi-square  < 0.001) of not filling all positions compared to those accredited more than 5 years previously. EM residency programs with a primary clinical site under for-profit ownership had a 50% greater risk of not filling all positions when compared to those under nonprofit or governmental ownership (RR 1.50, 95% CI 1.14-1.98, chi-square  = 0.009). In 2023, several CBSAs had a high number of both offered and unfilled positions.

CONCLUSIONS

EM residency programs accredited within the past 5 years or those with a primary clinical site under for-profit ownership had a greater risk of not filling all positions within the past two Match cycles.

摘要

背景

在最近的两个全国住院医师匹配计划(NRMP)匹配周期中,急诊医学(EM)住院医师岗位最初有大量未填补的情况。我们试图确定急诊医学住院医师项目特征(包括认证时长、主要临床地点所有权状态和地理位置)与最初未填补所有岗位之间的风险关系。

方法

我们对参与2022年和2023年NRMP匹配周期的急诊医学住院医师项目进行了重复横断面观察研究,并使用了来自NRMP、毕业后医学教育认证委员会、医疗保险和医疗补助服务中心以及美国住房和城市发展部的公开数据。我们的主要结果是急诊医学住院医师项目最初未填补岗位的比例,并按认证时长(>5年或≤5年)、主要临床地点所有权状态和基于核心统计区(CBSA)的地理位置进行分层分析。

结果

在2022年匹配中,2921个岗位中有219个(7.5%)最初未填补,在2023年匹配中,3010个岗位中有554个(18.4%)最初未填补。在这两年期间,与5年多以前获得认证的项目相比,过去5年内获得认证的急诊医学住院医师项目未填补所有岗位的风险增加了一倍多(相对风险[RR]2.08,95%置信区间[CI]1.69 - 2.57,卡方检验<0.001)。与非营利或政府所有的项目相比,主要临床地点为营利性所有的急诊医学住院医师项目未填补所有岗位的风险高50%(RR 1.50,95% CI 1.

相似文献

1
Unfilled in emergency medicine: An analysis of the 2022 and 2023 Match by program accreditation, ownership, and geography.
AEM Educ Train. 2023 Aug 18;7(4):e10902. doi: 10.1002/aet2.10902. eCollection 2023 Aug.
3
4
Characteristics of Emergency Medicine Residency Programs With Unfilled Positions in the 2023 Match.
Ann Emerg Med. 2023 Nov;82(5):598-607. doi: 10.1016/j.annemergmed.2023.06.002. Epub 2023 Jul 11.
5
Characteristics and Diversity of ACGME Accredited Emergency Medical Services Fellowship Programs.
Prehosp Emerg Care. 2019 Jul-Aug;23(4):551-559. doi: 10.1080/10903127.2018.1544327. Epub 2018 Dec 7.
6
Distribution of emergency medicine programs by location and reproductive rights: A cross-sectional study of the 2023 Match.
Am J Emerg Med. 2023 Aug;70:175-178. doi: 10.1016/j.ajem.2023.06.045. Epub 2023 Jun 30.
7
Does interview date affect match list position in the emergency medicine national residency matching program match?
Acad Emerg Med. 2000 Sep;7(9):1022-6. doi: 10.1111/j.1553-2712.2000.tb02094.x.
8
Deciphering a Changing Match Environment in Emergency Medicine and Identifying Residency Program Needs.
West J Emerg Med. 2023 Jan 16;24(1):1-7. doi: 10.5811/westjem.2022.11.58060.
9
Osteopathic students and graduates matching into pathology residency, 2011-2020.
J Osteopath Med. 2021 Feb 1;121(2):149-156. doi: 10.1515/jom-2020-0134.
10
ACGME Accreditation of Orthopaedic Surgery Subspecialty Fellowship Training Programs.
J Bone Joint Surg Am. 2014 Jun 4;96(11):e94. doi: 10.2106/JBJS.M.01340.

引用本文的文献

1
The Expansion Dilemma: A Critical Look at the 13-Year Increase in Emergency Medicine Residency Positions.
AEM Educ Train. 2025 Jun 12;9(3):e70064. doi: 10.1002/aet2.70064. eCollection 2025 Jun.
3
Perceptions of the current and future emergency medicine workforce.
J Am Coll Emerg Physicians Open. 2024 Aug 25;5(5):e13279. doi: 10.1002/emp2.13279. eCollection 2024 Oct.
5
Challenges surrounding the emergency physician workforce and their impact on the Emergency Medicine Match.
Clin Exp Emerg Med. 2023 Dec;10(4):349-353. doi: 10.15441/ceem.23.118. Epub 2023 Nov 28.

本文引用的文献

1
Attrition From the US Emergency Medicine Workforce During Early Stages of the COVID-19 Pandemic.
Ann Emerg Med. 2023 Aug;82(2):234-236. doi: 10.1016/j.annemergmed.2023.03.002. Epub 2023 May 2.
3
The 2013 to 2019 Emergency Medicine Workforce: Clinician Entry and Attrition Across the US Geography.
Ann Emerg Med. 2022 Sep;80(3):260-271. doi: 10.1016/j.annemergmed.2022.04.031. Epub 2022 Jun 16.
4
Geographic mobility in the emergency medicine residency match and the influence of gender.
AEM Educ Train. 2021 Aug 1;5(4):e10706. doi: 10.1002/aet2.10706. eCollection 2021 Aug.
5
Factors influencing emergency medicine residency choice: Diversity, community, and recruitment red flags.
AEM Educ Train. 2021 Aug 1;5(4):e10638. doi: 10.1002/aet2.10638. eCollection 2021 Aug.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验