Premium
Design and validation of a cross‐specialty simulation‐based training course in basic robotic surgical skills
Author(s) -
Scott Susanne I.,
Dalsgaard Torur,
Jepsen Jan Vibjerg,
von Buchwald Christian,
Andersen Steven Arild Wuyts
Publication year - 2020
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.2138
Subject(s) - modalities , computer science , specialty , delphi , learning curve , course (navigation) , simulation training , simulation , medical physics , medical education , human–computer interaction , medicine , operating system , social science , pathology , sociology , physics , astronomy
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.