Simulation-based assessment of robotic cardiac surgery skills: An international multicenter, cross-specialty trial

Gennady V. Atroshchenko, Emiliano Navarra, Matthew Valdis, Elena Sandoval, Nasseh Hashemi, Stepan Cerny, Daniel Pereda, Meindert Palmen, Flemming Bjerrum, Niels Henrik Bruun, Martin G. Tolsgaard

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objective: This study aimed to investigate the validity of simulation-based assessment of robotic-assisted cardiac surgery skills using a wet lab model, focusing on the use of a time-based score (TBS) and modified Global Evaluative Assessment of Robotic Skills (mGEARS) score. Methods: We tested 3 wet lab tasks (atrial closure, mitral annular stitches, and internal thoracic artery [ITA] dissection) with both experienced robotic cardiac surgeons and novices from multiple European centers. The tasks were assessed using 2 tools: TBS and mGEARS score. Reliability, internal consistency, and the ability to discriminate between different levels of competence were evaluated. Results: The results demonstrated a high internal consistency for all 3 tasks using mGEARS assessment tool. The mGEARS score and TBS could reliably discriminate between different levels of competence for the atrial closure and mitral stitches tasks but not for the ITA harvesting task. A generalizability study also revealed that it was feasible to assess competency of the atrial closure and mitral stitches tasks using mGEARS but not the ITA dissection task. Pass/fail scores were established for each task using both TBS and mGEARS assessment tools. Conclusions: The study provides sufficient evidence for using TBS and mGEARS scores in evaluating robotic-assisted cardiac surgery skills in wet lab settings for intracardiac tasks. Combining both assessment tools enhances the evaluation of proficiency in robotic cardiac surgery, paving the way for standardized, evidence-based preclinical training and credentialing. Clinical trial registry number: NCT05043064.
Original languageEnglish
Pages (from-to)619-627
JournalJTCVS Open
Volume16
DOIs
Publication statusPublished - 1 Dec 2023

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