Analysis of Performance Trends from 2010-2019 on the American Board of Internal Medicine Nephrology Certifying Exam

JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY(2021)

Cited 3|Views6
No score
Abstract
Background The pass rate on the American Board of Internal Medicine (ABIM) nephrology certifying exam has declined and is among the lowest of all internal medicine (IM) subspecialties. In recent years, there have also been fewer applicants for the nephrology fellowship match. Methods This retrospective observational study assessed how changes between 2010 and 2019 in characteristics of 4094 graduates of US ACGME-accredited nephrology fellowship programs taking the ABIM nephrology certifying exam for the first time, and how characteristics of their fellowship programs were associated with exam performance. The primary outcome measure was performance on the nephrology certifying exam. Fellowship program pass rates over the decade were also studied. Results Lower IM certifying exam score, older age, female sex, international medical graduate (IMG) status, and having trained at a smaller nephrology fellowship program were associated with poorer nephrology certifying exam performance. The mean IM certifying exam percentile score among those who subsequently took the nephrology certifying exam decreased from 56.7 (SD, 27.9) to 46.1 (SD, 28.7) from 2010 to 2019. When examining individuals with comparable IM certifying exam performance, IMGs performed less well than United States medical graduates (USMGs) on the nephrology certifying exam. In 2019, only 57% of nephrology fellowship programs had aggregate 3-year certifying exam pass rates ?80% among their graduates. Conclusions Changes in IM certifying exam performance, certain trainee demographics, and poorer performance among those from smaller fellowship programs explain much of the decline in nephrology certifying exam performance. IM certifying exam performance was the dominant determinant.
More
Translated text
Key words
nephrology fellowship, certifying exam, ABIM, international medical graduate, US medical graduate
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined