Javier R De La Garza1, Mona W Schmidt1, Karl-Friedrich Kowalewski1, Laura Benner2, Philip C Müller1, Hannes G Kenngott1, Lars Fischer1, Beat P Müller-Stich1, Felix Nickel3. 1. Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. 2. Institute for Medical Biometry and Informatics, University of Heidelberg, Im Neuenheimer Feld 130.3, 69120, Heidelberg, Germany. 3. Department of General, Visceral, and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 110, 69120, Heidelberg, Germany. felix.nickel@med.uni-heidelberg.de.
Abstract
BACKGROUND:Mental training of laparoscopic procedures with E-learning has been shown to translate to the operating room. The present study aims to explore whether the use of checklists during E-learning improves transfer of skills to the simulated OR on a Virtual Reality (VR) trainer for Roux-en-Y gastric bypass (RYGB). METHODS:Laparoscopy naive medical students (n = 80) were randomized in two groups. After an E-learning introduction to RYGB, checklist group rated RYGB videos using the validated Bariatric Objective Structured Assessment of Technical Skills (BOSATS) checklist while group without checklist only observed the videos. Participants then performed RYGB on a VR-trainer twice and were evaluated by a blinded expert rater using BOSATS. A multiple choice (MC) knowledge test on RYGB was performed. Suturing on a cadaveric porcine small bowel was evaluated using objective structured assessment of technical skill (OSATS). RESULTS: Checklist group was better in the knowledge test (A 8.3 ± 1.1 vs. B 7.1 ± 1.3; p ≤ 0.001) and there was a trend towards better VR RYGB performance (BOSATS) on the first try (85.9 ± 10.2 vs. 81.1 ± 11.5; p = 0.058), but not on the second try (92.0 ± 9.7 vs. 89.3 ± 10.5; p = 0.251). Suturing as measured by OSATS was not different (29.5 ± 3.0 vs. 29.0 ± 3.5; p = 0.472). CONCLUSION: This study presents evidence that the use of a BOSATS checklist during E-learning helps trainees to improve their knowledge acquisition with E-learning. The transfer from mental training to the simulated OR environment seems to be partially enhanced by use of the BOSATS checklist. However, more research is required to investigate potential benefits.
RCT Entities:
BACKGROUND: Mental training of laparoscopic procedures with E-learning has been shown to translate to the operating room. The present study aims to explore whether the use of checklists during E-learning improves transfer of skills to the simulated OR on a Virtual Reality (VR) trainer for Roux-en-Y gastric bypass (RYGB). METHODS: Laparoscopy naive medical students (n = 80) were randomized in two groups. After an E-learning introduction to RYGB, checklist group rated RYGB videos using the validated Bariatric Objective Structured Assessment of Technical Skills (BOSATS) checklist while group without checklist only observed the videos. Participants then performed RYGB on a VR-trainer twice and were evaluated by a blinded expert rater using BOSATS. A multiple choice (MC) knowledge test on RYGB was performed. Suturing on a cadaveric porcine small bowel was evaluated using objective structured assessment of technical skill (OSATS). RESULTS: Checklist group was better in the knowledge test (A 8.3 ± 1.1 vs. B 7.1 ± 1.3; p ≤ 0.001) and there was a trend towards better VR RYGB performance (BOSATS) on the first try (85.9 ± 10.2 vs. 81.1 ± 11.5; p = 0.058), but not on the second try (92.0 ± 9.7 vs. 89.3 ± 10.5; p = 0.251). Suturing as measured by OSATS was not different (29.5 ± 3.0 vs. 29.0 ± 3.5; p = 0.472). CONCLUSION: This study presents evidence that the use of a BOSATS checklist during E-learning helps trainees to improve their knowledge acquisition with E-learning. The transfer from mental training to the simulated OR environment seems to be partially enhanced by use of the BOSATS checklist. However, more research is required to investigate potential benefits.
Authors: Aristithes G Doumouras; Fady Saleh; Sama Anvari; Scott Gmora; Mehran Anvari; Dennis Hong Journal: Ann Surg Date: 2018-03 Impact factor: 12.969
Authors: Felix Nickel; Jonathan D Hendrie; Christian Stock; Mohamed Salama; Anas A Preukschas; Jonas D Senft; Karl F Kowalewski; Martin Wagner; Hannes G Kenngott; Georg R Linke; Lars Fischer; Beat P Müller-Stich Journal: Eur Surg Res Date: 2016-04-09 Impact factor: 1.745
Authors: F S Wehrtmann; J R de la Garza; K F Kowalewski; M W Schmidt; K Müller; C Tapking; P Probst; M K Diener; L Fischer; B P Müller-Stich; F Nickel Journal: Obes Surg Date: 2020-02 Impact factor: 4.129
Authors: Mona W Schmidt; Caelan M Haney; Karl-Friedrich Kowalewski; Vasile V Bintintan; Mohammed Abu Hilal; Alberto Arezzo; Marcus Bahra; Marc G Besselink; Matthias Biebl; Luigi Boni; Michele Diana; Jan H Egberts; Lars Fischer; Nader Francis; Daniel A Hashimoto; Daniel Perez; Marlies Schijven; Moritz Schmelzle; Marek Soltes; Lee Swanstrom; Thilo Welsch; Beat P Müller-Stich; Felix Nickel Journal: Surg Endosc Date: 2021-11-09 Impact factor: 3.453
Authors: Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park; Carla Pugh; Danail Stoyanov; Swaroop S Vedula; Kevin Cleary; Gabor Fichtinger; Germain Forestier; Bernard Gibaud; Teodor Grantcharov; Makoto Hashizume; Doreen Heckmann-Nötzel; Hannes G Kenngott; Ron Kikinis; Lars Mündermann; Nassir Navab; Sinan Onogur; Tobias Roß; Raphael Sznitman; Russell H Taylor; Minu D Tizabi; Martin Wagner; Gregory D Hager; Thomas Neumuth; Nicolas Padoy; Justin Collins; Ines Gockel; Jan Goedeke; Daniel A Hashimoto; Luc Joyeux; Kyle Lam; Daniel R Leff; Amin Madani; Hani J Marcus; Ozanan Meireles; Alexander Seitel; Dogu Teber; Frank Ückert; Beat P Müller-Stich; Pierre Jannin; Stefanie Speidel Journal: Med Image Anal Date: 2021-11-18 Impact factor: 13.828
Authors: E Willuth; S F Hardon; F Lang; C M Haney; E A Felinska; K F Kowalewski; B P Müller-Stich; T Horeman; F Nickel Journal: Surg Endosc Date: 2021-02-26 Impact factor: 4.584