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A Pilot Study Evaluating a Virtual Reality-Based Nontechnical Skills Training Application for Urology Trainees:

Matthew Pears1, Mark Rochester2, Karan Wadhwa3

  • 1Department of e-Learning and Health Informatics, Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom.

Journal of Surgical Education
|September 18, 2023
PubMed
Summary

This study developed a virtual reality (VR) application to train nontechnical skills (NTS) for urology trainees. The VR tool effectively improved trainees' NTS abilities and confidence, showing promise for surgical education.

Keywords:
human factorsnontechnical skillssurgical educationurologyvirtual reality

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Area of Science:

  • Medical Education
  • Surgical Training
  • Virtual Reality Applications

Background:

  • Nontechnical skills (NTS) are crucial for surgical performance.
  • Traditional NTS training methods face challenges in accessibility and cost-effectiveness.
  • Virtual Reality (VR) offers immersive and interactive learning opportunities.

Purpose of the Study:

  • To develop and evaluate a VR-based NTS training application for urology trainees.
  • To assess the application's effectiveness in improving NTS and confidence.
  • To explore the potential of VR for enhancing surgical education.

Main Methods:

  • A mixed-methods approach was used to develop and evaluate the VR application.
  • Collaboration with urology experts, medical education specialists, and human factors researchers informed development.
  • Usability, acceptability, and efficacy were assessed through expert feedback, trainee involvement, and scenario-based evaluations.

Main Results:

  • The VR application demonstrated moderate usability (SUS score of 66).
  • Positive effects on trainees' learning and confidence in NTS were observed (TEI and feedback).
  • Participants expressed interest in using VR for other surgical training aspects.

Conclusions:

  • VR-based NTS training applications hold significant potential for urology trainees.
  • This approach offers a promising, accessible, and cost-effective solution for NTS education.
  • Future research should investigate long-term impacts and explore AI integration for personalized learning.