Improving Transparency in the Residency Application Process: Survey Study

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 re...

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Bibliographic Details
Published in:JMIR formative research 2023-12, Vol.7, p.e45919-e45919
Main Authors: Ulin, Lindsey, Bernstein, Simone A, Nunes, Julio C, Gu, Alex, Hammoud, Maya M, Gold, Jessica A, Mirza, Kamran M
Format: Article
Language:English
Subjects:
Ethnicity
Females
Hispanic Americans
Licenses
Licensing examinations
Medicine
Multimedia
Multiple choice
Native North Americans
Non-binary gender
Original Paper
Osteopathic medicine
Pacific Islander people
Race
Social networks
Students
Transgender persons
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Summary: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
ISSN:2561-326X
2561-326X
DOI:10.2196/45919