Literature DB >> 21029316

Content validation of a novel robotic surgical simulator.

Stéfanie A Seixas-Mikelus1, Andrew P Stegemann, Thenkurussi Kesavadas, Govindarajan Srimathveeravalli, Gughan Sathyaseelan, Rameela Chandrasekhar, Gregory E Wilding, James O Peabody, Khurshid A Guru.   

Abstract

OBJECTIVE: • To assess the content validity of an early prototype robotic simulator. Minimally invasive surgery poses challenges for training future surgeons. The Robotic Surgical Simulator (RoSS) is a novel virtual reality simulator for the da Vinci Surgical System. PATIENTS AND METHODS: • Participants attending the 2010 International Robotic Urology Symposium were invited to experience RoSS. Afterwards, participants completed a survey regarding the appropriateness of the simulator as a teaching tool.
RESULTS: • Forty-two subjects including surgeons experienced with robotics (n= 31) and novices (n= 11) participated in this study. • Eighty per cent of the entire cohort had an average of 4 years of experience with robot-assisted surgery. • Eleven (26%) novices lacked independent robot-assisted experience. The expert group comprised 17 (41%) surgeons averaging 881 (160-2200) robot-assisted cases. Experts rated the 'clutch control' virtual simulation task as a good (71%) or excellent (29%) teaching tool. • Seventy-eight per cent rated the 'ball place' task as good or excellent but 22% rated it as poor. • Twenty-seven per cent rated the 'needle removal' task as an excellent teaching tool, 60% rated it good and 13% rated it poor. • Ninety-one per cent rated the 'fourth arm tissue removal' task as good or excellent. • Ninety-four per cent responded that RoSS would be useful for training purposes. • Eighty-eight per cent felt that RoSS would be an appropriate training and testing format before operating room experience for residents. • Seventy-nine per cent indicated that RoSS could be used for privileging or certifying in robotic surgery.
CONCLUSION: • Results based on expert evaluation of RoSS as a teaching modality illustrate that RoSS has appropriate content validity.
© 2010 THE AUTHORS. BJU INTERNATIONAL © 2010 BJU INTERNATIONAL.

Entities:  

Mesh:

Year:  2010        PMID: 21029316     DOI: 10.1111/j.1464-410X.2010.09694.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  20 in total

1.  The virtual reality simulator dV-Trainer(®) is a valid assessment tool for robotic surgical skills.

Authors:  Cyril Perrenot; Manuela Perez; Nguyen Tran; Jean-Philippe Jehl; Jacques Felblinger; Laurent Bresler; Jacques Hubert
Journal:  Surg Endosc       Date:  2012-04-05       Impact factor: 4.584

2.  Proficiency-based training for robotic surgery: construct validity, workload, and expert levels for nine inanimate exercises.

Authors:  Genevieve Dulan; Robert V Rege; Deborah C Hogg; Kristine M Gilberg-Fisher; Nabeel A Arain; Seifu T Tesfay; Daniel J Scott
Journal:  Surg Endosc       Date:  2012-02-21       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

Review 4.  Training and outcome monitoring in robotic urologic surgery.

Authors:  Daniel Liberman; Quoc-Dien Trinh; Claudio Jeldres; Luc Valiquette; Kevin C Zorn
Journal:  Nat Rev Urol       Date:  2011-11-08       Impact factor: 14.432

5.  Simulation in surgical education.

Authors:  Sandra L de Montbrun; Helen Macrae
Journal:  Clin Colon Rectal Surg       Date:  2012-09

6.  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

Review 7.  Simulation-based training in robot-assisted surgery: current evidence of value and potential trends for the future.

Authors:  Michael I Hanzly; Tareq Al-Tartir; Syed Johar Raza; Atif Khan; Mohammad Manan Durrani; Thomas Fiorica; Phillip Ginsberg; James L Mohler; Boris Kuvshinoff; Khurshid A Guru
Journal:  Curr Urol Rep       Date:  2015-06       Impact factor: 3.092

Review 8.  Learning tools and simulation in robotic surgery: state of the art.

Authors:  Nicolas C Buchs; François Pugin; Francesco Volonté; Philippe Morel
Journal:  World J Surg       Date:  2013-12       Impact factor: 3.352

Review 9.  Da Vinci© Skills Simulator™: is an early selection of talented console surgeons possible?

Authors:  Mark Meier; Kevin Horton; Hubert John
Journal:  J Robot Surg       Date:  2016-06-22

Review 10.  Surgical simulation: the value of individualization.

Authors:  Greta V Bernier; Jaime E Sanchez
Journal:  Surg Endosc       Date:  2016-06-23       Impact factor: 4.584

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