A Cross-Sectional Study of Graduate Medical Education in Radiological Fellowships using Accessible Content
Som P Singh, Aarya Ramprasad, Fahad M Qureshi, Farhan A Baig, Fawad Qureshi
Curr Probl Diagn Radiol . 2023 Nov-Dec;52(6):528-533. doi: 10.1067/j.cpradiol.2023.05.001. Epub 2023 May 11.
Graduate medical education in radiology serves an imperative role in training the next generation of specialists. Given the regularity of virtual interviews, the website of a fellowship programs remains a critical first-line source of information of applicants. The aim of this study is to systematically evaluate 7 radiology fellowship programs utilizing a systematic process. A cross-sectional descriptive 286 graduate medical education fellowship programs in radiology were screened from the Fellowship and Residency Electronic Interactive Database (FREIDA). Extracted data was evaluated for comprehensiveness using 20 content criteria, and a readability score is calculated. The mean comprehensiveness among all fellowship program websites was 55.8% (n = 286), and the average FRE among the program overview sections was 11.9 (n = 214). ANOVA revealed no statistical significance in program website comprehensiveness between radiology fellowships (P = 0.33). The quality of a program's website data continues to serve an important role in an applicant's decision-making. Fellowship programs have improved in their content availability overtime, but content reevaluation needs to be continued for tangible improvement.