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Assessment study of insight ARTHRO VR (®) arthroscopy virtual training simulator: face, content, and construct
Sofía Bayona1, José Manuel Fernández-Arroyo2, Isaac Martín3
1Dpto. de Arquitectura y Tecnología de Computadores, Ciencias de la Computación e Inteligencia Artificial, Universidad Rey Juan Carlos, DATCCCIA D.0054 Ampliación Rectorado, C/Tulipán, S/N, 28933, Móstoles, Madrid, Spain. sofia.bayona@urjc.es.
This study validates a virtual-reality haptic arthroscopy simulator, finding it effective for training and skill development. The simulator demonstrated face, content, and construct validities, proving useful for both novice and experienced surgeons.
Area of Science:
- Medical Simulation
- Surgical Training
- Orthopedics
Background:
- Arthroscopy is a complex surgical procedure requiring extensive training.
- Traditional training methods may lack standardized assessment and objective feedback.
- Virtual-reality (VR) simulators offer a promising avenue for surgical skill acquisition.
Purpose of the Study:
- To evaluate the face, content, and construct validities of a VR haptic arthroscopy simulator.
- To assess the simulator's utility as an educational tool for arthroscopists.
- To validate assessment hypotheses related to surgical skill acquisition.
Main Methods:
- 94 arthroscopists participated in the study at an international conference.
- Participants performed simulator exercises and completed a post-use questionnaire.
- The simulator's performance metrics and user feedback were analyzed.
Main Results:
- The VR simulator achieved high scores for training effectiveness (7.10/10) and learning skills (8.24/10).
- It was perceived as more beneficial for inexperienced surgeons (P < 0.001).
- Face, content, and construct validities were supported, with significant differences between novice and expert performance.
Conclusions:
- The VR haptic arthroscopy simulator is a valid and effective tool for surgical training.
- It offers a valuable adjunct to traditional methods, particularly for developing surgeons.
- Further research with larger samples is recommended to solidify construct validity and refine assessment metrics.
