Competency-Based Assessment of Robotic Surgery Skills - Phase 2 (CARS 2.0): A Global Survey Study with Blinded Video Review of Surgical Proficiency On Behalf of TROGSS - The Robotic Global Surgical Society
Aman Goyal , Abhirami Babu , Susana Acosta , Yeisson Rivero-Moreno , Christian A. Macias , Vanessa Pamela Salolin Vargas , Jason Park , Elisa Rodriguez , Kimberly Ibarra , Michail Koutentakis , Clotilde Fuentes-Orozco , Andrea Garcia , Kathia Dayana Morfin Meza , Alejandro González-Ojeda , Luis Osvaldo Suárez-Carreón , Adel Abou-Mrad , Luigi Marano , Rodolfo J. Oviedo , On Behalf Of TROGSS, Collaborative Research Consortium
Mini-invasive Surgery ›› 2025, Vol. 9 ›› Issue (1) : 34
Competency-Based Assessment of Robotic Surgery Skills - Phase 2 (CARS 2.0): A Global Survey Study with Blinded Video Review of Surgical Proficiency On Behalf of TROGSS - The Robotic Global Surgical Society
Aim: The Competency-Based Assessment of Robotic Surgery Skills (CARS) scale was developed as a novel approach to assess robotic surgery (RS) skills through 10 relevant RS competencies. CARS 2.0 aimed to expand on the findings of CARS by conducting a global survey study in which participants graded a blinded, edited surgical video with the CARS scale for 7 competencies measurable via video.
Methods: CARS 2.0 is being conducted globally, including participants across medical specialties and training stages, from medical students to attending/consultant surgeons. Participants evaluated a blinded, edited surgical video using the CARS scale via an anonymous Google form, focusing on 7 video-measurable competencies.
Results: A total of 320 responses were collected over 3 months, including 125 (39.06%) attending/consultant surgeons, 98 (30.6%) surgical specialty postgraduate trainees, 96 (30%) medical students, and 1 pre-medical student. ANOVA (analysis of variance) analysis showed that the operator scores increased with the evaluators’ level of experience, reaching statistical significance across all 7 competency categories. Spearman’s correlation indicated moderate associations between participants’ surgical experience and proficiency (ρ = 0.314, P < 0.001), as well as between their comfort with the CARS scale and proficiency (ρ = 0.337, P < 0.001). Regression analysis demonstrated that robotic stapler use and camera handling were predictors of higher CARS scores based on participants’ experience.
Conclusion: CARS represents a first step toward establishing competency-based assessment of RS performance independent of specific surgical procedures. Its integration into surgical training programs can facilitate trainees’ attainment of RS competency. Longitudinal studies could further validate its effectiveness at improving surgical training with its implementation into training curricula.
Robotic surgery / competency-based assessment / surgical education / CARS scale / global survey study
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