Authors
Julie Wong, Kikachukwu Otiono, Jessica Caterini, Hannah S Thomas, Ashley Cox, Keith Rourke, Stephen Steele
Published in
Canadian Urological Association journal = Journal de l'Association des urologues du Canada. Volume 20. Issue 4. Pages 85-91.
Abstract
Despite the importance of residents and fellows to the national urologic workforce, comprehensive data describing Canadian urology trainees has been limited. This study reports findings from the inaugural Canadian Urological Association (CUA) Resident Census.
A national, cross-sectional, anonymous, electronic survey of Canadian urology residents and fellows was conducted between May and August 2025. Survey development was led by the CUA Resident and Fellow Committee and the Postgraduate Training Committee. Descriptive statistics were used to characterize demographics, recruitment, training experiences, workload, career planning, and future priorities.
Of 271 eligible trainees, 143 responded (53%), including 116 residents (81%) and 27 fellows (19%); 33.7% of respondents were female and 2% were queer/non-binary. Urology trainees reported high satisfaction with the residency match process. Almost all residents (89%) indicated their intention to pursue fellowship training, most commonly in oncology and endourology. Insufficient exposure was greatest among andrology, urogynecology/reconstructive pelvic surgery, and gender-affirming care subspecialties. Trainees reported working an average of 75 clinical hours per week, with over half exceeding 80 hours. Over one-third (36%) reported experiencing mistreatment during training, most frequently from clinical supervisors.
This first national CUA Resident Census identified changing trends in demographics, while also highlighting potential issues such as high workload and variable subspecialty exposure. Limitations included a moderate response rate, regional overrepresentation of larger provinces, and reliance on self-reported data. These findings establish a baseline to inform advocacy, educational planning, and future longitudinal assessment.
PMID:
42900899
Bibliographic data and abstract were imported from PubMed on 21 Oct 2026.
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