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Simulation-Based Training Platforms for Arthroscopy: A Randomized Comparison of Virtual Reality Learning to Benchtop

Robert M Middleton¹, Abtin Alvand¹, Patrick Garfjeld Roberts¹

¹Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, NIHR Biomedical Research Unit, University of Oxford, Oxford, England.

Arthroscopy : the Journal of Arthroscopic & Related Surgery : Official Publication of the Arthroscopy Association of North America and the International Arthroscopy Association

|January 12, 2017

Summary

This summary is machine-generated.

Benchtop (BT) arthroscopy simulator training resulted in better skill transfer to other simulators than virtual reality (VR) training. BT training may offer greater gains in psychomotor skills for arthroscopic novices.

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Area of Science:

Medical simulation
Surgical training
Orthopedics

Background:

Arthroscopy simulation is crucial for surgical skill development.
Virtual reality (VR) and benchtop (BT) simulators offer different training modalities.
Assessing skill transferability between simulators is essential for effective training.

Purpose of the Study:

To compare the effectiveness of VR and BT arthroscopy simulators for novice training.
To evaluate the transferability of skills acquired from each simulator type.

Main Methods:

Novice arthroscopists were randomized to VR or BT simulator training.
Performance was assessed using objective motion analysis and global rating scales.
Trainees performed arthroscopy on both simulators pre- and post-training.

Main Results:

Both VR and BT training improved arthroscopic performance.
BT training led to skills that transferred effectively to the VR simulator.
VR training did not result in comparable skill transfer to the BT simulator.

Conclusions:

Benchtop simulator training appears to confer more readily transferable psychomotor skills than VR training.
Differences in skill acquisition and transferability exist between VR and BT arthroscopy simulators.
Further research is needed to optimize simulator feedback mechanisms and validate findings in clinical settings.