A Cross-Sectional Study of Graduate Medical Education in Radiological Fellowships using Accessible Content.

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.

The relationship between structural racism and COVID-19 related health disparities across 10 metropolitan cities in the United States.

INTRODUCTION: Black, Hispanic, and Indigenous groups have carried the burden of COVID-19 disease in comparison to non-marginalized groups within the United States. It is important to examine the factors that have led to the observed disparities in COVID-19 risk, morbidity, and mortality. We described primary health care access within large US metropolitan cities in relation to COVID-19 rate, race/ethnicity, and income level and hypothesized that observed racial/ethnic disparities in COVID-19 rates are associated with health care provider number. METHODS: We accessed public city health department records for reported COVID-19 cases within 10 major metropolitan cities in the United States and also obtained publicly available racial/ethnic demographic median income and primary health care provider counts within individual zip codes. We made comparisons of COVID-19 case numbers within zip codes based on racial/ethnic and income makeup in relation to primary health care counts. RESULTS: Median COVID-19 rates differed by race/ethnicity and income. There was an inverse relationship between median income and COVID-19 rate within zip codes (rho: -0.515; p<0.001). However, this relationship was strongest within racially/ethnically non-marginalized zip codes relative to those composed mainly of racially/ethnically marginalized populations (rho: -0.427 vs. rho: -0.175 respectively). Health care provider number within zip codes was inversely associated with the COVID-19 rate. (rho: -0.157; p<0.001) However, when evaluated by stratified groups by race the association was only significant within racially/ethnically marginalized zip codes(rho: -0.229; p<0.001). DISCUSSION: COVID-19 case rates were associated with racial/ethnic makeup and income status within zip codes across the United States and likewise, primary care provider access also differed by these factors. However, our study reveals that structural and systemic barriers and inequities have led to disproportionate access to health care along with other factors that require identification. CONCLUSION: These results pose a concern in terms of pandemic progression into the next year and how these structural inequities have impacted and will impact vaccine distribution.