Validation of a Simulation-training Model for Robotic Intracorporeal Bowel Anastomosis Using a Step-by-step Technique - 19/09/18
Abstract |
Objective |
To develop and validate a training model for the robotic intracorporeal bowel anastomosis.
Methods |
For simulation, surgeons with varying levels of experience were instructed about bowel anastomosis robotic surgical simulation in a short educational video. All participants performed the required steps for the intracorporeal bowel anastomosis under standardized conditions. The procedure consists of the following steps: division of the bowel with a stapler (1), incision and opening of the bowel limbs at the antimesenteric angle (2), insertion of the stapler into the 2 bowel limbs for the side-to-side anastomosis (3), and transverse closure of the anastomosis with the stapler (4). All simulations were performed using the daVinci SI robotic system. Face and content validity were assessed using a standardized questionnaire. Construct validity was evaluated using the Global Evaluative Assessment of Robotic Skills, a validated global performance rating scale.
Results |
Twenty-two surgeons participated including 6 robotic experts and 16 trainees. The expert participants rated the bowel anastomosis model highly for face validity (median 4/5; 64% agree or strongly agree), and all participants rated the content as a training model very highly (median 4.5/5; 100% agree or strongly agree). Discrimination between experts and trainees using Global Evaluative Assessment of Robotic Skills demonstrated construct validity (novice 17.6 vs expert 24.7, P = .03).
Conclusion |
We demonstrate that the bowel anastomosis robotic surgical simulator is a reproducible and realistic simulation that allows for an objective skills assessment. We establish face, content, and construct validity for this model. This step-by-step technique may be utilized in training surgeons desiring to acquire skills in robotic intracorporeal urinary diversion.
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Funding Support: Research reported in this publication was supported by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number T32GM088129. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. |
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