Ulin Lindsey, Bernstein Simone A, Nunes Julio C, Gu Alex, Hammoud Maya M, Gold Jessica A, Mirza Kamran M
Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Department of Psychiatry, Washington University in St Louis, St Louis, MO, United States.
JMIR Form Res. 2023 Dec 25;7:e45919. doi: 10.2196/45919.
Increasing numbers of residency applications create challenges for applicants and residency programs to assess if they are a good fit during the residency application and match process. Applicants face limited or conflicting information as they assess programs, leading to overapplying. A holistic review of residency applications is considered a gold standard for programs, but the current volumes and associated time constraints leave programs relying on numerical filters, which do not predict success in residency. Applicants could benefit from increased transparency in the residency application process.
This study aims to determine the information applicants find most beneficial from residency programs when deciding where to apply, by type of medical school education background.
Match 2023 applicants voluntarily completed an anonymous survey through the Twitter and Instagram social media platforms. We asked the respondents to select 3 top factors from a multiple-choice list of what information they would like from residency programs to help determine if the characteristics of their application align with program values. We examined differences in helpful factors selected by medical school backgrounds using ANOVA.
There were 4649 survey respondents. When responses were analyzed by United States-allopathic (US-MD), doctor of osteopathic medicine (DO), and international medical graduate (IMG) educational backgrounds, respondents chose different factors as most helpful: minimum United States Medical Licensing Examination (USMLE) or Comprehensive Osteopathic Medical Licensing Examination (COMLEX) Step 2 scores (565/3042, 18.57% US-MD; 485/3042, 15.9% DO; and 1992/3042, 65.48% IMG; P<.001), resident hometown region (281/1132, 24.82% US-MD; 189/1132, 16.7% DO; and 662/1132, 58.48% IMG; P=.02), resident medical school region (476/2179, 22% US-MD; 250/2179, 11.5% DO; and 1453/2179, 66.7% IMG; P=.002), and percent of residents or attendings underrepresented in medicine (417/1815, 22.98% US-MD; 158/1815, 8.71% DO; and 1240/1815, 68.32% IMG; P<.001).
When applying to residency programs, this study found that the factors that respondents consider most helpful from programs in deciding where to apply differ by educational background. Across all educational groups, respondents want transparency around standardized exam scores, geography, and the racial or ethnic backgrounds of residents and attendings.
住院医师申请数量不断增加,给申请者和住院医师培训项目在住院医师申请及匹配过程中评估双方是否匹配带来了挑战。申请者在评估项目时面临信息有限或相互矛盾的情况,导致申请过多。对住院医师申请进行全面审查被认为是项目的黄金标准,但目前的申请数量和相关时间限制使项目依赖数字筛选,而这并不能预测住院医师培训的成功。申请者可能会从住院医师申请过程中增加的透明度中受益。
本研究旨在按医学院教育背景类型确定申请者在决定申请地点时从住院医师培训项目中发现的最有益信息。
2023年参加住院医师匹配的申请者通过推特和照片墙社交媒体平台自愿完成一项匿名调查。我们要求受访者从多项选择题列表中选择3个最重要的因素,即他们希望从住院医师培训项目中获得哪些信息,以帮助确定其申请特征是否与项目价值观相符。我们使用方差分析研究了医学院背景所选择的有用因素的差异。
共有4649名受访者参与调查。当按美国全科医学博士(US-MD)、骨科医学博士(DO)和国际医学毕业生(IMG)教育背景分析回答时,受访者选择了不同的因素作为最有帮助的因素:美国医学执照考试(USMLE)或综合骨科医学执照考试(COMLEX)第二步的最低分数(565/3042,18.57%的US-MD;485/3042,15.9%的DO;1992/3042,65.48%的IMG;P<.001)、住院医师家乡地区(281/1132,24.82%的US-MD;189/1132,16.7%的DO;662/1132,58.48%的IMG;P=.02)、住院医师医学院所在地区(476/2179,22%的US-MD;250/2179,11.5%的DO;1453/2179,66.7%的IMG;P=.002)以及医学领域中代表性不足的住院医师或主治医师的比例(417/1815,22.98%的US-MD;158/1815,8.71%的DO;1240/1815,68.32%的IMG;P<.001)。
本研究发现申请住院医师培训项目时,受访者认为在决定申请地点时项目最有帮助的因素因教育背景而异。在所有教育群体中,受访者都希望在标准化考试成绩、地理位置以及住院医师和主治医师的种族或民族背景方面有透明度。