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Surgical Science-Simbionix Robotic Hysterectomy Simulator: Validating a New Tool.
Adela G Cope1, Jose J Lazaro-Weiss2, Brooke E Willborg3
1Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota (Drs. Cope, Glaser, Langstraat, and Green and Ms. Willborg).
Journal of Minimally Invasive Gynecology
|February 5, 2022
Summary
This study found that hysterectomy simulation modules are well-received and can differentiate surgeon skill levels. These modules offer valuable feedback for robotic surgery training and readiness assessment.
Area of Science:
- Medical Simulation
- Surgical Education
- Robotic Surgery
Background:
- Robotic hysterectomy requires specialized training.
- Simulation offers a safe environment for skill acquisition.
- Validating simulation tools is crucial for effective surgical education.
Purpose of the Study:
- To gather validity evidence for hysterectomy simulation modules on the DaVinci Xi system.
- To assess the acceptability of these modules among surgeons.
- To evaluate performance benchmarks between novice and expert surgeons.
Main Methods:
- A prospective educational study using the Messick validity framework.
- Participants included novice, experienced, and expert gynecologic surgeons.
- Surgeons completed four simulation modules, with performance assessed using GEARS and qualitative feedback.
Main Results:
- The simulation modules were well-received across all experience levels.
- Simulator metrics correlated with GEARS performance for specific modules (e.g., bladder flap).
- Individual modules showed better discrimination between skill levels than overall performance.
Conclusions:
- Hysterectomy simulation modules are acceptable and provide useful feedback.
- Individual modules can effectively differentiate surgeon proficiency.
- These modules can be a valuable component in assessing readiness for robotic hysterectomy.
