Journal of Surgical Simulation 2025; 12: 23 - 30

Published: 11 August 2025

DOI: https://doi.org/10.1102/2051-7726.2025.0003

Original article

Using mixed fidelity simulation to maximise basic laparoscopic skills training and self-confidence

Matthew Harris, Fay Fathima Imtiaz Fareed and David Rawaf
Corresponding author: Matthew Harris, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M23 9LT, UK. Email: matt.harris11@doctors.net.uk

Abstract

Background: We aim to show that using tasks with increasing complexity and with increasing fidelity of simulation can maximise students’ laparoscopic skills learning, confidence and satisfaction when applied in a single day course.

Methods: At a laparoscopic skills day, students went through skills simulation with increasing fidelity and complexity. We collected surveys prior to and after the skills day, including demographics, prior experience, and self-confidence scores for key laparoscopic tasks on a 1–10 scale, as well as operative skill data using Inovus augmented reality (AR) simulation software.

Results: Every area of the students’ self-confidence improved, with a mean improvement of 3.42 (P < 0.001). The more junior the student, the greater their increase in confidence (mean Pre-Foundation year (FY) +5.2). Notably, using Inovus AR software we found these skills days to provide an improvement on distance travelled of laparoscopic instrument tips when compared to cohort averages.

Conclusion: Mixed fidelity simulation is an effective way of rapidly progressing students’ skills over the course of a single day. Augmented reality is a way of bridging the gap between basic box-trainer tasks and more complex wet-lab simulation. Capturing operative skills data with software provides an opportunity to focus training to maximise progression.

Keywords

laparoscopy; surgery; training; augmented reality; laparoscopic surgery; simulation

Supplementary material

Supplementary Tables 1-4 are available at https://doi.org/10.5281/zenodo.15700033