Literature DB >> 22849341

Simulation-based training for bedside assistants can benefit experienced robotic prostatectomy teams.

David D Thiel1, Amy Lannen, Eugene Richie, Jesse Dove, Nikunj M Gajarawala, Todd C Igel.   

Abstract

PURPOSE: We designed a three-phase bedside assistant training course for those involved with robot-assisted radical prostatectomy (RARP). We also examined whether an experienced RARP team (>1000 cases) would perceive benefit from this three-phase bedside assistant training course.
MATERIALS AND METHODS: The 13 RARP bedside assistants were identified at our institution (three surgical technicians, two surgical assistants, four resident trainees, and four physician assistants). The course consisted of three phases that were taught at three separate morning sessions. Phase 1 focused on robot functionality. Phase 2 consisted of a step-by-step video session that focused on the assistant's role in each RARP step. Phase 3 involved three hands-on laparoscopic drills that were to be completed in a predetermined period. Pre- and postcourse questionnaires assessed learner knowledge pertaining to RARP.
RESULTS: All 13 learners completed the three-phase training course. Nine of 13 learners thought this course would be beneficial, although, 9 of 13 already thought that they were good RARP assistants before the course. Ten of 13 learners were able to complete the hands-on drills in the predetermined periods. On completion of the course, every learner thought the course was beneficial and that it should be repeated annually. Twelve of 13 thought that the course made them a better assistant and that their intra-abdominal spatial orientation was greatly improved. Seven of the learners thought the hands-on drills were the most beneficial portion of the course, while the other six found the step-by-step lecture the most beneficial.
CONCLUSIONS: A three-phase hands-on RARP bedside assistant training course is beneficial to and desired by an experienced RARP team at least annually.

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Mesh:

Year:  2012        PMID: 22849341     DOI: 10.1089/end.2012.0382

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  11 in total

1.  Urology residents experience comparable workload profiles when performing live porcine nephrectomies and robotic surgery virtual reality training modules.

Authors:  Vladimir Mouraviev; Martina Klein; Eric Schommer; David D Thiel; Srinivas Samavedi; Anup Kumar; Raymond J Leveillee; Raju Thomas; Julio M Pow-Sang; Li-Ming Su; Engy Mui; Roger Smith; Vipul Patel
Journal:  J Robot Surg       Date:  2016-01-11

2.  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

3.  The role of the assistant during robot-assisted partial nephrectomy: does experience matter?

Authors:  Aaron M Potretzke; Brent A Knight; John A Brockman; Joel Vetter; Robert S Figenshau; Sam B Bhayani; Brian M Benway
Journal:  J Robot Surg       Date:  2016-04-02

4.  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

5.  Face and content validity of Xperience™ Team Trainer: bed-side assistant training simulator for robotic surgery.

Authors:  Luca Sessa; Cyril Perrenot; Song Xu; Jacques Hubert; Laurent Bresler; Laurent Brunaud; Manuela Perez
Journal:  Updates Surg       Date:  2017-12-20

Review 6.  Robotic surgical skill acquisition: What one needs to know?

Authors:  Akshay Sood; Wooju Jeong; Rajesh Ahlawat; Logan Campbell; Shruti Aggarwal; Mani Menon; Mahendra Bhandari
Journal:  J Minim Access Surg       Date:  2015 Jan-Mar       Impact factor: 1.407

7.  Surgical outcomes of robotic radical hysterectomy using three robotic arms versus conventional multiport laparoscopy in patients with cervical cancer.

Authors:  Ga Won Yim; Sang Wun Kim; Eun Ji Nam; Sunghoon Kim; Hee Jung Kim; Young Tae Kim
Journal:  Yonsei Med J       Date:  2014-09       Impact factor: 2.759

8.  Does the experience of the bedside assistant effect the results of robotic surgeons in the learning curve of robot assisted radical prostatectomy?

Authors:  Haci Ibrahim Cimen; Yavuz Tarik Atik; Serkan Altinova; Oztug Adsan; Mevlana Derya Balbay
Journal:  Int Braz J Urol       Date:  2019 Jan-Feb       Impact factor: 1.541

9.  Three Different Learning Curves Have an Independent Impact on Perioperative Outcomes After Robotic Partial Nephrectomy: A Comparative Analysis.

Authors:  Philip Zeuschner; Irmengard Meyer; Stefan Siemer; Michael Stoeckle; Gudrun Wagenpfeil; Stefan Wagenpfeil; Matthias Saar; Martin Janssen
Journal:  Ann Surg Oncol       Date:  2020-07-24       Impact factor: 5.344

10.  Experienced bedside-assistants improve operative outcomes for surgeons early in their learning curve for robot assisted laparoscopic radical prostatectomy.

Authors:  Alaina Garbens; Aaron H Lay; Ryan L Steinberg; Jeffrey C Gahan
Journal:  J Robot Surg       Date:  2020-10-01
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