Chris Brown1, David Robinson1, Richard Egan2, Luke Hopkins1, Tarig Abdelrahman1, Arfon Powell3, M John Pollitt4, Wyn G Lewis1. 1. Department of Surgery, University Hospital of Wales, Cardiff, United Kingdom. 2. Department of Surgery, Morriston Hospital, Swansea, United Kingdom. 3. Division of Cancer and Genetics, Cardiff University School of Medicine, Cardiff, United Kingdom. 4. Department of Surgery, Prince Charles Hospital, Merthyr Tydfil, United Kingdom.
Abstract
Background: Simulation training is strongly advocated by 24/7 risk-rich professions because swift learning curve inflection point attainment delivers earlier competence; the left-shift effect. The aim of this study was to determine the value of haptic laparoscopic virtual reality simulation, by iterative benchmark exercise (n = 8), before simulated laparoscopic appendicectomy (SLA); the hypothesis was that favorable benchmark learning curve trajectories would be associated with improved SLA competence when compared with consultant expert performance. Methods: A 28-trainee cohort completed 1349 Laparoscopic Haptic Virtual Reality Skills (LHVRS) tasks, during which 19 ergonomic variables were assessed by virtual interface, including force feedback (Surgicalscience.com), before 153 SLAs. Primary outcome measure was SLA composite competence score related to six consultant trainer experts. Results: Of the eight LHVRS tasks, the three with the steepest learning curve trajectories correlated with better median overall SLA competence scores, namely tissue grasping/lifting (rho = 0.362, P = .049), fine dissection (rho = 0.388, P = .028), and camera navigation (rho = 0.518, P = .007); fine dissection was the only haptic laparoscopic virtual reality simulation task that predicted a SLA score within a Youden index defined, 70% of the consultant expert level (area under curve [AUC] = 0.803, P = .028). A significant SLA learning curve emerged, with a learning curve trajectory inflection point at the fourth SLA attempt (first SLA 30.5% versus fourth SLA score 76.0%, gradient 76°, P = .010). Conclusion: Learning curve trajectory can be measured, influenced, and accelerated significantly; a pronounced left-shift effect, with translational potential for enhanced shorter training time and improved patient safety.
Background: Simulation training is strongly advocated by 24/7 risk-rich professions because swift learning curve inflection point attainment delivers earlier competence; the left-shift effect. The aim of this study was to determine the value of haptic laparoscopic virtual reality simulation, by iterative benchmark exercise (n = 8), before simulated laparoscopic appendicectomy (SLA); the hypothesis was that favorable benchmark learning curve trajectories would be associated with improved SLA competence when compared with consultant expert performance. Methods: A 28-trainee cohort completed 1349 Laparoscopic Haptic Virtual Reality Skills (LHVRS) tasks, during which 19 ergonomic variables were assessed by virtual interface, including force feedback (Surgicalscience.com), before 153 SLAs. Primary outcome measure was SLA composite competence score related to six consultant trainer experts. Results: Of the eight LHVRS tasks, the three with the steepest learning curve trajectories correlated with better median overall SLA competence scores, namely tissue grasping/lifting (rho = 0.362, P = .049), fine dissection (rho = 0.388, P = .028), and camera navigation (rho = 0.518, P = .007); fine dissection was the only haptic laparoscopic virtual reality simulation task that predicted a SLA score within a Youden index defined, 70% of the consultant expert level (area under curve [AUC] = 0.803, P = .028). A significant SLA learning curve emerged, with a learning curve trajectory inflection point at the fourth SLA attempt (first SLA 30.5% versus fourth SLA score 76.0%, gradient 76°, P = .010). Conclusion: Learning curve trajectory can be measured, influenced, and accelerated significantly; a pronounced left-shift effect, with translational potential for enhanced shorter training time and improved patient safety.
Authors: Catherine Eley; Neil D Hawkes; Richard J Egan; David B Robinson; Chris Brown; Sam Murray; Keith Siau; Wyn Lewis Journal: Endosc Int Open Date: 2022-09-14