Increasing Diversity, Equity, and Inclusion in Urology Residency Recruitment: Recommendations From the Society of Women in Urology

OBJECTIVE To provide a framework for diversifying the urologic workforce through residency recruitment by integrating principles of diversity, equity, and inclusion (DEI) into program mission and values, application review, and interview process. MATERIALS AND METHODS For this narrative review, the Society of Women in Urology Advancing DEI in Urology Residency Recruitment Task Force identified 4 areas for incorporating DEI into residency recruitment: defining a residency program's mission and values, holistic application review, an objective interview process, and implementing DEI principles into a program. Using PubMed and Google Scholar, we performed a non-systematic literature search of articles from January 2014 to January 2024. Search terms included combinations of "diversity", "equity", "inclusion", "residency", "holistic review", "applications", "interviews", and "initiatives". Additional resources were identified through citations of selected articles. Based on findings from these articles, Task Force members made recommendations for best practices. RESULTS The diversity of practicing urologists is disproportionate to that of the United States population. Emerging evidence demonstrates that DEI efforts in healthcare are associated with better outcomes and reduction in healthcare inequities. We offer strategies for residency programs to integrate DEI initiatives into their recruitment, application review, and interview process. Furthermore, we address extending DEI principles into a program's mission and culture to create an inclusive environment conducive to training and supporting individuals from unique backgrounds. CONCLUSION It is critical to recruit and retain diverse talent in urology to improve patient care. We urge residency programs and their supporting institutions to adopt DEI principles into their recruitment efforts. UROLOGY 191: 193-199, 2024. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.