Content Validity and User Satisfaction Evaluation of Visualization Training Tool for Surgeons for Urethral Dissection during Robot-Assisted Radical Prostatectomy

Abstract

Training and skills assessment for robotic surgeries has received unprecedented attention in technological research in the last few years due to the gradual adoption of minimally invasive robotic interventions. Robot-assisted radical prostatectomy (RARP) is one of these interventions that help cure cancer by completely removing the prostate. Trainers currently use numerous training methodologies to teach novice surgeons macro RARP skills. However, limited resources for teaching and assessing micro-skills, such as the optimal urethra dissection ranges given basic variables: prostate size and prostate cancer location, are used in practice. Therefore, we built an interactive prototype to teach these skills. This paper validates the prototype using content validity and Questionnaire for User Interaction Satisfaction (QUIS) with five surgeons. The results demonstrate high content validity and increased end-user satisfaction.