Literature DB >> 21642902

Urologic surgical simulation: an endoscopic bladder model.

Gwen M Grimsby1, Paul E Andrews, Erik P Castle, Christopher E Wolter, Bhavesh M Patel, Mitchell R Humphreys.   

Abstract

INTRODUCTION: With the explosion of endoscopic techniques in urology as well as the increasing work restrictions with resident duty hours, training programs are faced with the challenges of how to adequately train residents while still being proficient and safe in the operating room. Surgical simulation with models is an excellent tool to help bridge the gap between practice and experience and allow residents to learn basic skills in a low stress environment that can be later transferred to the operating room.
METHODS: We present a high-fidelity endoscopic boar bladder model for first-year urology resident training in preparation for real-time experience in the operating room.
RESULTS: The boar bladder model held up for the residents to complete six separate tasks. In each of the six assigned tasks, both residents had a percent improvement ranging from 13% to 97% when comparing an average of the first attempts with the final attempt.
CONCLUSIONS: The novel simulation model we describe demonstrates is a high-fidelity tissue surrogate that can be used for simulation training for improvement in core urologic skills by novice residents. This model may be a useful tool in documenting proficiency-based competence of cystoscopic skills.

Mesh:

Year:  2011        PMID: 21642902     DOI: 10.1097/SIH.0b013e3182211096

Source DB:  PubMed          Journal:  Simul Healthc        ISSN: 1559-2332            Impact factor:   1.929


  3 in total

1.  Comparison of 3 dilation and evacuation technical skills models.

Authors:  Maureen K Baldwin; Julie Chor; Beatrice A Chen; Alison B Edelman; Jennefer Russo
Journal:  J Grad Med Educ       Date:  2013-12

2.  Development and incorporation of hybrid simulation OSCE into in-training examinations to assess multiple CanMEDS competencies in urologic trainees.

Authors:  Laura N Nguyen; Kim Tardioli; Matthew Roberts; James Watterson
Journal:  Can Urol Assoc J       Date:  2015 Jan-Feb       Impact factor: 1.862

Review 3.  Simulation-based training and assessment in urological surgery.

Authors:  Abdullatif Aydin; Nicholas Raison; Muhammad Shamim Khan; Prokar Dasgupta; Kamran Ahmed
Journal:  Nat Rev Urol       Date:  2016-08-23       Impact factor: 14.432

  3 in total

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