Literature DB >> 24887970

Video-based peer feedback through social networking for robotic surgery simulation: a multicenter randomized controlled trial.

Stacey C Carter1, Alexander Chiang, Galaxy Shah, Lorna Kwan, Jeffrey S Montgomery, Amer Karam, Christopher Tarnay, Khurshid A Guru, Jim C Hu.   

Abstract

OBJECTIVE: To examine the feasibility and outcomes of video-based peer feedback through social networking to facilitate robotic surgical skill acquisition.
BACKGROUND: The acquisition of surgical skills may be challenging for novel techniques and/or those with prolonged learning curves.
METHODS: Randomized controlled trial involving 41 resident physicians performing the Tubes (Da Vinci Intuitive Surgical, Sunnyvale, CA) simulator exercise with versus without peer feedback of video-recorded performance through a social networking Web page. Data collected included simulator exercise score, time to completion, and comfort and satisfaction with robotic surgery simulation.
RESULTS: There were no baseline differences between the intervention group (n = 20) and controls (n = 21). The intervention group showed improvement in mean scores from session 1 to sessions 2 and 3 (60.7 vs 75.5, P < 0.001, and 60.7 vs 80.1, P < 0.001, respectively). The intervention group scored significantly higher than controls at sessions 2 and 3 (75.5 vs 59.6, P = 0.009, and 80.1 vs 65.9, P = 0.019, respectively). The mean time (seconds) to complete the task was shorter for the intervention group than for controls during sessions 2 and 3 (217.4 vs 279.0, P = 0.004, and 201.4 vs 261.9, P = 0.006, respectively). At the study conclusion, feedback subjects were more comfortable with robotic surgery than controls (90% vs 62%, P = 0.021) and expressed greater satisfaction with the learning experience (100% vs 67%, P = 0.014). Of the intervention subjects, 85% found that peer feedback was useful and 100% found it effective.
CONCLUSIONS: Video-based peer feedback through social networking appears to be an effective paradigm for surgical education and accelerates the robotic surgery learning curve during simulation.

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Mesh:

Year:  2015        PMID: 24887970     DOI: 10.1097/SLA.0000000000000756

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  7 in total

Review 1.  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

2.  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

Review 3.  Social Media: Changing the Paradigm for Surgical Education.

Authors:  Andrea M Petrucci; Manish Chand; Steven D Wexner
Journal:  Clin Colon Rectal Surg       Date:  2017-09-12

Review 4.  Video-based coaching in surgical education: a systematic review and meta-analysis.

Authors:  Knut Magne Augestad; Khayam Butt; Dejan Ignjatovic; Deborah S Keller; Ravi Kiran
Journal:  Surg Endosc       Date:  2019-11-20       Impact factor: 4.584

5.  General surgery training in the era of robotic surgery: a qualitative analysis of perceptions from resident and attending surgeons.

Authors:  Beiqun Zhao; Jenny Lam; Hannah M Hollandsworth; Arielle M Lee; Nicole E Lopez; Benjamin Abbadessa; Samuel Eisenstein; Bard C Cosman; Sonia L Ramamoorthy; Lisa A Parry
Journal:  Surg Endosc       Date:  2019-07-08       Impact factor: 4.584

6.  Exploring the nature and focus of feedback when using video playback in gynecology laparoscopy training.

Authors:  Jena M Hall; Jamie S Pyper
Journal:  Can Med Educ J       Date:  2021-12-29

7.  Randomized Controlled Pilot Study of Video Self-assessment for Resident Mastoidectomy Training.

Authors:  Ashok R Jethwa; Christopher J Perdoni; Elizabeth A Kelly; Bevan Yueh; Samuel C Levine; Meredith E Adams
Journal:  OTO Open       Date:  2018-04-12
  7 in total

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