The Impact of COVID-19 on the Urology Residency Match and Geographic Proximity of Applicants.

OBJECTIVE: To determine the impacts of COVID-19 pandemic-related changes and program-specific characteristics on the geographic diversity of the 2021 and 2022 urology match classes. METHODS: We gathered publicly available information to compare match outcomes in 2021 and 2022 to the previous 5 application cycles (2016-2020). Variables included residency program class size, program and resident AUA section, and program and resident medical school. Univariate comparisons were made with Fisher's t-tests. Odds ratios were calculated following multivariable analysis. RESULTS: Comparing the previous 5 application cycles to the 2 pandemic years individually and together showed no significant changes in home or in-section matches. However, when comparisons were stratified by small (1-2 residents) vs large (3+ residents) programs, a significant increase in at-home and in-section matches was observed for small programs in 2021. Large programs did not experience significant changes in match patterns. Multivariate analysis showed that small programs had significantly lower odds of matching applicants from home institutions and within AUA sections. Additionally, certain AUA sections demonstrated significantly increased likelihood of accepting in-section applicants. CONCLUSION: The changes from in-person to virtual application cycles during the pandemic particularly affected small residency programs in 2021. With easing restrictions and logistical improvements in the 2022 cycle, locoregional match rates partially shifted back to prepandemic patterns, though not completely. Although the pandemic did not affect geographic diversity in urology as much as in other surgical subspecialties, these findings and further study should be considered to optimize upcoming cycles.

Promoting ß-lactam utilization through suppression of electronic medical record cross-allergy alerts.

PURPOSE: Current literature surrounding management of patients with reported ß-lactam allergies focuses on allergy delabeling. Standard clinical decision support tools have not been optimized to be compatible with the currently accepted cross-reaction rate of 1% to 2%. This potentially promotes use of non-ß-lactam antibiotics, which are often not first-line therapy and may carry increased risks. The impact of electronic medical record (EMR) clinical decision support tool optimization on utilization of ß-lactam antibiotics in ß-lactam-allergic patients was evaluated. METHODS: A retrospective pre-post ß-lactam cross-allergy EMR alert suppression quality improvement intervention cohort study of ß-lactam-allergic adult inpatients prescribed antibiotics was conducted. Preintervention baseline data were collected for an initial cohort admitted during September 2018. The intervention, in which clinical decision support rules were updated to display ß-lactam cross-sensitivity allergy alerts only for ß-lactam-allergic patients with documentation of organization-defined high-severity reactions of anaphylaxis, hives, and shortness of breath, was implemented August 20, 2019. The postintervention cohort included patients admitted during September 2019. RESULTS: A 91% increase in the percentage of ß-lactam-allergic patients who received a ß-lactam agent at any time during their admission was noted after the intervention (26.6% vs 51%, P < 0.001). Statistically significant decreases in prescribing of alternative antibiotic classes were seen for fluoroquinolones (decrease from 45.3% to 26%, P < 0.001), aminoglycosides (decrease from 9.4% to 2.9%, P = 0.002), and aztreonam (decrease from 30% to 16.7%, P < 0.001). CONCLUSION: EMR ß-lactam cross-allergy alert optimization consistent with current literature significantly improved the utilization of alternative ß-lactam subclasses, mostly through ß-lactam prescribing as initial therapy in ß-lactam-allergic patients.