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Objectives: To identify and prioritize technical procedures for simulation-based training to be integrated into the thoracic surgical curriculum., Methods: A 3-round Delphi survey was conducted from February 2022 to June 2022 among 34 key opinion leaders in thoracic surgery from 14 countries worldwide. The 1st round was a brainstorming phase to identify technical procedures that a newly qualified thoracic surgeon should be able to perform. All the suggested procedures were categorized, qualitatively analysed and sent to the 2nd round. The second round investigated: the frequency of the identified procedure at each institution, the number of thoracic surgeons that should be able to perform these procedures, the degree of risk to the patient if the procedure is performed by a non-competent thoracic surgeon and the feasibility of simulation-based education. In the 3rd round, elimination and re-ranking of the procedures from the 2nd round were performed., Results: Response rates in the 3 iterative rounds were 80% (28 out of 34), 89% (25 out of 28) and 100% (25 out of 25) in the 1st, 2nd and 3rd round, respectively. Seventeen technical procedures were included for simulation-based training in the final prioritized list. The top 5 procedures were Video-Assisted Thoracoscopic Surgery (VATS) lobectomy, VATS segmentectomy, VATS mediastinal lymph node dissection, diagnostic flexible bronchoscopy and robotic-assisted thoracic surgery port placement, robotic-assisted thoracic surgery docking and undocking., Conclusions: The prioritized list of procedures represents a consensus of key thoracic surgeons worldwide. These procedures are suitable for simulation-based training and should be integrated in the thoracic surgical curriculum., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.)

Aim: The aim of this study is to develop a reliable composite score based on simulator metrics to assess competency in virtual reality video-assisted thoracoscopic surgery lobectomy and explore the benefits of combining it with expert rater assessments., Methods: Standardized objective assessments (time, bleeding, economy of movement) and subjective expert rater assessments from 2 previous studies were combined. A linear mixed model including experience level, lobe and the number of previous simulated procedures was applied for the repeated measurements. Reliability for each of the 4 assessments was calculated using Cronbach's alpha. The Nelder-Mead numerical optimization algorithm was used for optimal weighting of scores. A pass-fail standard for the composite score was determined using the contrasting groups' method., Results: In total, 123 virtual reality video-assisted thoracoscopic surgery lobectomies were included. Across the 4 different assessments, there were significant effects (P < 0.01) of experience, lobe, and simulator experience, but not for simulator attempts on bleeding (P = 0.98). The left upper lobe was significantly more difficult compared to other lobes (P = 0.02). A maximum reliability of 0.92 could be achieved by combining the standardized simulator metrics with standardized expert rater scores. The pass/fail level for the composite score when including 1 expert rater was 0.33., Conclusions: Combining simulator metrics with 1 or 2 raters increases reliability and can serve as a more objective method for assessing surgical trainees. The composite score may be used to implement a standardized and feasible simulation-based mastery training program in video-assisted thoracoscopic surgery lobectomy., (© The Author(s) 2022. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.)

Open in new tab Download slide Aim The aim of this study is to develop a reliable composite score based on simulator metrics to assess competency in virtual reality video-assisted thoracoscopic surgery lobectomy and explore the benefits of combining it with expert rater assessments. METHODS Standardized objective assessments (time, bleeding, economy of movement) and subjective expert rater assessments from 2 previous studies were combined. A linear mixed model including experience level, lobe and the number of previous simulated procedures was applied for the repeated measurements. Reliability for each of the 4 assessments was calculated using Cronbach's alpha. The Nelder–Mead numerical optimization algorithm was used for optimal weighting of scores. A pass–fail standard for the composite score was determined using the contrasting groups' method. RESULTS In total, 123 virtual reality video-assisted thoracoscopic surgery lobectomies were included. Across the 4 different assessments, there were significant effects (P  < 0.01) of experience, lobe, and simulator experience, but not for simulator attempts on bleeding (P  = 0.98). The left upper lobe was significantly more difficult compared to other lobes (P = 0.02). A maximum reliability of 0.92 could be achieved by combining the standardized simulator metrics with standardized expert rater scores. The pass/fail level for the composite score when including 1 expert rater was 0.33. CONCLUSIONS Combining simulator metrics with 1 or 2 raters increases reliability and can serve as a more objective method for assessing surgical trainees. The composite score may be used to implement a standardized and feasible simulation-based mastery training program in video-assisted thoracoscopic surgery lobectomy. [ABSTRACT FROM AUTHOR]