Evidence Hub

Predicting Quality of Clinical Performance From Cardiology Fellowship Applications

Cullen MW, Beckman TJ, Baldwin KM, Engstler GJ, Mandrekar J, Scott CG, Klarich KW

Texas Heart Institute journal, 2020

Abstract

Variables in cardiology fellowship applications have not been objectively analyzed against applicants' subsequent clinical performance. We investigated possible correlations in a retrospective cohort study of 65 cardiology fellows at the Mayo Clinic (Rochester, Minn) who began 2 years of clinical training from July 2007 through July 2013. Application variables included the strength of comparative statements in recommendation letters and the authors' academic ranks, membership status in the Alpha Omega Alpha Honor Medical Society, awards earned, volunteer activities, United States Medical Licensing Examination (USMLE) scores, advanced degrees, publications, and completion of a residency program ranked in the top 6 in the United States. The outcome was clinical performance as measured by a mean of faculty evaluation scores during clinical training. The overall mean evaluation score was 4.07 ± 0.18 (scale, 1-5). After multivariable analysis, evaluation scores were associated with Alpha Omega Alpha designation (β=0.13; 95% CI, 0.01-0.25; P=0.03), residency program reputation (β=0.13; 95% CI, 0.05-0.21; P=0.004), and strength of comparative statements in recommendation letters (β=0.08; 95% CI, 0.01-0.15; P=0.02), particularly in letters from residency program directors (β=0.05; 95% CI, 0.01-0.08; P=0.009). Objective factors to consider in the cardiology fellowship application include Alpha Omega Alpha membership, residency program reputation, and comparative statements from…

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free