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Improving Transparency in the Residency Application Process: Survey Study.
Ulin, Lindsey; Bernstein, Simone A; Nunes, Julio C; Gu, Alex; Hammoud, Maya M; Gold, Jessica A; Mirza, Kamran M.
Afiliação
  • Ulin L; Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States.
  • Bernstein SA; Department of Psychiatry, Washington University in St Louis, St Louis, MO, United States.
  • Nunes JC; Department of Psychiatry, Yale School of Medicine, New Haven, CT, United States.
  • Gu A; Department of Orthopaedic Surgery, George Washington University School of Medicine, Washington, DC, United States.
  • Hammoud MM; Department of Obstetrics and Gynecology, University of Michigan Medical School, Ann Arbor, MI, United States.
  • Gold JA; Department of Psychiatry, Washington University in St Louis, St Louis, MO, United States.
  • Mirza KM; Department of Pathology and Clinical Laboratories, University of Michigan Medicine, Ann Arbor, MI, United States.
JMIR Form Res ; 7: e45919, 2023 Dec 25.
Article em En | MEDLINE | ID: mdl-38145482
ABSTRACT

BACKGROUND:

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.

OBJECTIVE:

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.

METHODS:

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.

RESULTS:

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).

CONCLUSIONS:

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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JMIR Form Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: JMIR Form Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos