TY - JOUR

T1 - Design and validation of a cross-specialty simulation-based training course in basic robotic surgical skills

AU - Scott, Susanne I.

AU - Dalsgaard, Torur

AU - Jepsen, Jan Viberg

AU - von Buchwald, Christian

AU - Andersen, Steven Arild Wuyts

PY - 2020

Y1 - 2020

N2 - Background: The aim of this study was to design and validate a cross-specialty basic robotic surgical skills training program on the RobotiX Mentor virtual reality simulator. Methods: A Delphi panel reached consensus on six modules to include in the training program. Validity evidence was collected according to Messick's framework with three performances in each simulator module by 11 experienced robotic surgeons and 11 residents without robotic surgical experience. Results: For five of the six modules, a compound metrics-based score could significantly discriminate between the performances of novices and experienced robotic surgeons. Pass/fail levels were established, resulting in very few novices passing in their first attempt. Conclusions: This validated course can be used for structured simulation-based basic robotic surgical skills training within a mastery learning framework where the individual trainee can practice each module until they achieve proficiency and can continue training on other modalities and more specific to their specialty.

AB - Background: The aim of this study was to design and validate a cross-specialty basic robotic surgical skills training program on the RobotiX Mentor virtual reality simulator. Methods: A Delphi panel reached consensus on six modules to include in the training program. Validity evidence was collected according to Messick's framework with three performances in each simulator module by 11 experienced robotic surgeons and 11 residents without robotic surgical experience. Results: For five of the six modules, a compound metrics-based score could significantly discriminate between the performances of novices and experienced robotic surgeons. Pass/fail levels were established, resulting in very few novices passing in their first attempt. Conclusions: This validated course can be used for structured simulation-based basic robotic surgical skills training within a mastery learning framework where the individual trainee can practice each module until they achieve proficiency and can continue training on other modalities and more specific to their specialty.

KW - evidence-based medical education

KW - robotic surgery

KW - simulation-based training

KW - validity

KW - virtual reality simulation

U2 - 10.1002/rcs.2138

DO - 10.1002/rcs.2138

M3 - Journal article

C2 - 32721072

AN - SCOPUS:85089500236

VL - 16

JO - International Journal of Medical Robotics and Computer Assisted Surgery

JF - International Journal of Medical Robotics and Computer Assisted Surgery

SN - 1478-5951

IS - 5

M1 - e2138

ER -