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Factors Associated with Infectious Diseases Fellowship Academic Success
Ryan B Khodadadi1, Zachary A Yetmar1, Cynthia L Domonoske1
1Mayo Clinic.
Background:
A multitude of factors are considered in an infectious diseases (ID) training program's meticulous selection process of ID fellows but their correlation to pre and in-fellowship academic success as well as post-fellowship academic success and short-term outcomes is poorly understood. Our goal was to investigate factors associated with subsequent academic success in fellowship as well as post-fellowship short-term outcomes.
Methods:
In 2022, we retrospectively analyzed deidentified academic records from 39 graduates of the Mayo Clinic Rochester ID Fellowship Program (July 1, 2013- June 30, 2022). Data abstracted included demographics, degrees, honor society membership, visa/citizenship status, medical school, residency training program, United States Medical Licensure Exam (USMLE) scores, letters of recommendation, in-training examination (ITE) scores, fellowship track, academic rank, career choice, number of honors, awards, and abstracts/publications prior to fellowship, during training, and within 2 years of graduation.
Results:
Younger fellows had higher USMLE step 1 scores, pre and in-fellowship scholarly productivity, and higher ITE performance. Female fellows had significantly higher USMLE step 3 scores. Prior research experience translated to greater in-fellowship scholarly productivity. Higher USMLE scores were associated with higher ID ITE performance during multiple years of fellowship, but USMLE step 2 clinical knowledge and 3 scores were associated with higher pre and in-fellowship scholarly productivity and receiving an award during fellowship. USMLE step 1 score did not correlate with fellowship performance beyond year 1 and 2 ITE scores.
Conclusions:
Multiple aspects of a prospective fellow's application must be considered as part of a holistic reviewprocess for fellowship selection. USMLE step 2 CK and 3 scores may predict fellowship performance across multiple domains.
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