You have accessJournal of UrologyHealth Services Research: Quality Improvement & Patient Safety II (MP34)1 Sep 2021MP34-20 INITIAL ASSESSMENT OF QUALITY OF NMIBC CARE ACROSS AN INTEGRATED ACADEMIC HEALTH SYSTEM Oliver Ko, Minh Pham, Kyle Tsai, Amanda Vo, Anuj Desai, Jake Miller, Joshua Meeks, Joshua Halpern, and Gregory Auffenberg Oliver KoOliver Ko More articles by this author , Minh PhamMinh Pham More articles by this author , Kyle TsaiKyle Tsai More articles by this author , Amanda VoAmanda Vo More articles by this author , Anuj DesaiAnuj Desai More articles by this author , Jake MillerJake Miller More articles by this author , Joshua MeeksJoshua Meeks More articles by this author , Joshua HalpernJoshua Halpern More articles by this author , and Gregory AuffenbergGregory Auffenberg More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002043.20AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Non-muscle invasive (NMIBC) bladder cancer relies heavily upon high quality transurethral resection, re-resection when indicated, and appropriate use of intravesical therapy. We sought to characterize baseline performance across various bladder cancer quality measures and to evaluate predictors of variation in performance as a basis for future quality improvement interventions. METHODS: We identified all transurethral resection of bladder tumor procedures (TURBT) performed from 9/2018 – 9/2019 across our health system comprised of over 70 credentialed urologists and 9 acute care hospitals. Manual chart abstraction was used to create a clinicopathologic database of procedural findings and outcomes. We evaluated surgeon-specific performance across three NMIBC quality measures (detrusor sampling on TURBT, re-resection for high-grade (HG) Ta/T1 disease within 8 weeks, and post-operative intravesical chemotherapy use). Multivariable logistic regression models were fit to evaluate the relationship between detrusor sampling, clinicopathologic features, and surgeon. RESULTS: During the study period, 343 TURBTs were performed in 295 patients for urothelial carcinoma by 21 surgeons. Among these procedures, detrusor muscle was sampled in 71.1% (244/343). Figure 1a displays regression results evaluating the relationship between clinicopathologic parameters and detrusor muscle sampling. After adjusting for these factors significant variation in surgeon-specific rates of sampling detrusor muscle remained (Figure 1b). Of these TURBTs, the highest stage present was 7% (24/343) CIS only, 49.9% (171/343) Ta, 32.4% (111/343) T1, and 10.8% (37/343) T2 or higher with 32.4% being low grade and 67.6% high grade. Re-resection was performed for 44.8% (64/143) with HG Ta or T1 disease. By stage, re-resection occurred 30.3% (17/56) in HG Ta, and 54% (47/87) in HG T1. The surgeon-specific rate of re-resection for HG Ta/T1 patients varied from 0 to 100%, p=0.04. Post-operative intravesical chemotherapy was used for 19.5% (67/343) of resections. CONCLUSIONS: We demonstrate significant surgeon-specific variability in three TURBT quality measures across a large integrated health system. This presents an opportunity for quality improvement to reduce surgeon-specific variation and improve outcomes for patients with NMIBC. Source of Funding: None © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e624-e625 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information Oliver Ko More articles by this author Minh Pham More articles by this author Kyle Tsai More articles by this author Amanda Vo More articles by this author Anuj Desai More articles by this author Jake Miller More articles by this author Joshua Meeks More articles by this author Joshua Halpern More articles by this author Gregory Auffenberg More articles by this author Expand All Advertisement Loading ...