Literature DB >> 22704177

da Vinci Skills Simulator construct validation study: correlation of prior robotic experience with overall score and time score simulator performance.

Kyle T Finnegan1, Anoop M Meraney, Ilene Staff, Steven J Shichman.   

Abstract

OBJECTIVE: To assess the construct validity of the da Vinci Skills Simulator (Intuitive Surgical, Sunnyvale, CA). Ideally, a well-designed simulator should demonstrate construct validity, which is defined in this study as the correlation between robotic surgical experience and performance on the simulator. PATIENTS AND METHODS: Thirty-nine surgeons (18 [46%] group I [0-20 robotic cases]; 8 [21%] group II [21-150 robotic cases]; and 13 [33%] group III [>150 robotic cases]) were enrolled from September 2010 to December 2010. Participants completed 24 virtual-reality exercises on the da Vinci Skills Simulator. Data on 12 performance metrics were collected by the software. Overall means for score and time across exercises were analyzed.
RESULTS: Overall scores (64.7%/79.1%/87.4%) and time scores (39.1%/58.6%/87.3%) were significantly different among surgeons in groups I-III (P <.001) and demonstrated significant linear relationships (P <.001) for all 24 exercises. Comparisons between the 3 groups using a univariate general linear model (GLM) was used to compare groups I and II and II and III. Groups I and II differed using overall score for 15 exercises and time score for 11 exercises. Groups II and III differed using overall score for 6 exercises and time score for 15 exercises. Mean overall score for 1 exercise displayed significance between both groups I and II and II and III; while using time score, 5 exercises displayed significance between surgeons in groups I and II and II and III.
CONCLUSION: Initial construct validity analysis revealed that both overall scores and time scores showed a significant linear relationship when comparing the surgeons in groups I, II, and III. Overall score seems to be a stronger indicator for differences between surgeons in groups I and II. Time score seems to be a stronger indicator for differences between surgeons in groups II and III.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Mesh:

Year:  2012        PMID: 22704177     DOI: 10.1016/j.urology.2012.02.059

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  32 in total

1.  Development of a virtual reality robotic surgical curriculum using the da Vinci Si surgical system.

Authors:  Pedro Pablo Gomez; Ross E Willis; Kent R Van Sickle
Journal:  Surg Endosc       Date:  2014-11-01       Impact factor: 4.584

2.  Robotic surgery simulation validity and usability comparative analysis.

Authors:  Alyssa Tanaka; Courtney Graddy; Khara Simpson; Manuela Perez; Mireille Truong; Roger Smith
Journal:  Surg Endosc       Date:  2015-11-18       Impact factor: 4.584

Review 3.  Current state of virtual reality simulation in robotic surgery training: a review.

Authors:  Justin D Bric; Derek C Lumbard; Matthew J Frelich; Jon C Gould
Journal:  Surg Endosc       Date:  2015-08-25       Impact factor: 4.584

4.  Construct validity of nine new inanimate exercises for robotic surgeon training using a standardized setup.

Authors:  Anthony M Jarc; Myriam Curet
Journal:  Surg Endosc       Date:  2013-10-08       Impact factor: 4.584

5.  Making the Jump: A Qualitative Analysis on the Transition From Bedside Assistant to Console Surgeon in Robotic Surgery Training.

Authors:  Beiqun Zhao; Hannah M Hollandsworth; Arielle M Lee; Jenny Lam; Nicole E Lopez; Benjamin Abbadessa; Samuel Eisenstein; Bard C Cosman; Sonia L Ramamoorthy; Lisa A Parry
Journal:  J Surg Educ       Date:  2019-09-23       Impact factor: 2.891

6.  Face, content, and construct validity of four, inanimate training exercises using the da Vinci ® Si surgical system configured with Single-Site ™ instrumentation.

Authors:  Anthony M Jarc; Myriam Curet
Journal:  Surg Endosc       Date:  2014-11-01       Impact factor: 4.584

7.  A comprehensive review of robotic surgery curriculum and training for residents, fellows, and postgraduate surgical education.

Authors:  Richard Chen; Priscila Rodrigues Armijo; Crystal Krause; Ka-Chun Siu; Dmitry Oleynikov
Journal:  Surg Endosc       Date:  2019-04-05       Impact factor: 4.584

8.  Assessment of Robotic Console Skills (ARCS): construct validity of a novel global rating scale for technical skills in robotically assisted surgery.

Authors:  May Liu; Shreya Purohit; Joshua Mazanetz; Whitney Allen; Usha S Kreaden; Myriam Curet
Journal:  Surg Endosc       Date:  2017-07-01       Impact factor: 4.584

9.  Can teenage novel users perform as well as General Surgery residents upon initial exposure to a robotic surgical system simulator?

Authors:  A Mehta; S Patel; W Robison; T Senkowski; J Allen; E Shaw; C Senkowski
Journal:  J Robot Surg       Date:  2017-06-05

10.  Can a virtual reality surgical simulation training provide a self-driven and mentor-free skills learning? Investigation of the practical influence of the performance metrics from the virtual reality robotic surgery simulator on the skill learning and associated cognitive workloads.

Authors:  Gyusung I Lee; Mija R Lee
Journal:  Surg Endosc       Date:  2017-06-20       Impact factor: 4.584

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