You have accessJournal of UrologySurgical Technology & Simulation: Training & Skills Assessment (PD58)1 Sep 2021PD58-10 UTILIZATION OF SKILL ASSESSMENT TOOL AT HEALTH SYSTEM LEVEL - SCORE DISTRIBUTION AND TRENDS AMONG VARIOUS SURGICAL SPECIALTIES David Mikhail, Samuel Pettit Portland, ME, Sia Boulourani, Brian Dinerman, Arun Rai, Michael Feuerstein, Filippo Filicori, Anthony Antonacci, and Lee Richstone David MikhailDavid Mikhail More articles by this author , Samuel Pettit Portland, MESamuel Pettit Portland, ME More articles by this author , Sia BoulouraniSia Boulourani More articles by this author , Brian DinermanBrian Dinerman More articles by this author , Arun RaiArun Rai More articles by this author , Michael FeuersteinMichael Feuerstein More articles by this author , Filippo FilicoriFilippo Filicori More articles by this author , Anthony AntonacciAnthony Antonacci More articles by this author , and Lee RichstoneLee Richstone More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000002092.10AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: CSATS (Crowd-Sourced Assessment of Technical Skills) is a validated surgical skill assessment tool allowing for surgeon feedback via GEARS scoring. Limited data exists regarding the applicability of CSATS across a health system. We report the largest experience implementing CSATS across a multi- hospital system. We assessed implementation, trends in utilization, and score distribution. METHODS: Surgeons voluntarily submitted robotic cases for CSATS evaluation. Case data and CSATS scores were extracted for 111 robotic surgeons for four specialties - general surgery (GS), thoracic (TH), gynecology (GYN) and urology (URO) from 2018-19. Total robotics cases, CSATS utilization rates, scores and percentiles were compared. Linear regression was used to assess the significance between a surgeon's total robotic volume (SRV), specialty and CSATS scores. RESULTS: 2664 of 7506 (36%) robotic cases were submitted to CSATS. Utilization increased from 24% to 44% between both years. Table 1 shows utilization, CSATS scores and percentiles. GS had lowest per-surgeon usage (27%; p<0.05). Average CSATS scores were highest for GYN compared to other specialties, with GYN and GS statistically di!erent (p<0.05). URO was significantly higher in efficiency and bimanual dexterity on average (p<0.05). Significant improvement on GEARS scores was observed in all specialties except urology between 2018 and 2019. Total SRV showed a positive correlation with CSATS Score and average percentile (p<0.001). CONCLUSIONS: Our experience with CSATS showed implementation across a large health system is feasible, with increasing utility over time. Scores differ significantly between specialties, surgeons and procedures. Surgeon robotic experience correlates with scores and national percentile rankings. Further analysis will determine the correlation of CSATS with measurable outcomes to serve as a quality improvement metric. Source of Funding: none © 2021 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 206Issue Supplement 3September 2021Page: e1020-e1021 Advertisement Copyright & Permissions© 2021 by American Urological Association Education and Research, Inc.MetricsAuthor Information David Mikhail More articles by this author Samuel Pettit Portland, ME More articles by this author Sia Boulourani More articles by this author Brian Dinerman More articles by this author Arun Rai More articles by this author Michael Feuerstein More articles by this author Filippo Filicori More articles by this author Anthony Antonacci More articles by this author Lee Richstone More articles by this author Expand All Advertisement Loading ...