Literature DB >> 28723441

Training, Simulation, the Learning Curve, and How to Reduce Complications in Urology.

Oliver Brunckhorst1, Alessandro Volpe2, Henk van der Poel3, Alexander Mottrie4, Kamran Ahmed5.   

Abstract

CONTEXT: Urology is at the forefront of minimally invasive surgery to a great extent. These procedures produce additional learning challenges and possess a steep initial learning curve. Training and assessment methods in surgical specialties such as urology are known to lack clear structure and often rely on differing operative flow experienced by individuals and institutions.
OBJECTIVE: This article aims to assess current urology training modalities, to identify the role of simulation within urology, to define and identify the learning curves for various urologic procedures, and to discuss ways to decrease complications in the context of training. EVIDENCE ACQUISITION: A narrative review of the literature was conducted through December 2015 using the PubMed/Medline, Embase, and Cochrane Library databases. EVIDENCE SYNTHESIS: Evidence of the validity of training methods in urology includes observation of a procedure, mentorship and fellowship, e-learning, and simulation-based training. Learning curves for various urologic procedures have been recommended based on the available literature. The importance of structured training pathways is highlighted, with integration of modular training to ensure patient safety.
CONCLUSIONS: Valid training pathways are available in urology. The aim in urology training should be to combine all of the available evidence to produce procedure-specific curricula that utilise the vast array of training methods available to ensure that we continue to improve patient outcomes and reduce complications. PATIENT
SUMMARY: The current evidence for different training methods available in urology, including simulation-based training, was reviewed, and the learning curves for various urologic procedures were critically analysed. Based on the evidence, future pathways for urology curricula have been suggested to ensure that patient safety is improved.
Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Learning curves; Simulation; Surgical education; Training

Year:  2016        PMID: 28723441     DOI: 10.1016/j.euf.2016.02.004

Source DB:  PubMed          Journal:  Eur Urol Focus        ISSN: 2405-4569


  10 in total

Review 1.  The safety of urologic robotic surgery depends on the skills of the surgeon.

Authors:  Erika Palagonia; Elio Mazzone; Geert De Naeyer; Frederiek D'Hondt; Justin Collins; Pawel Wisz; Fijs W B Van Leeuwen; Henk Van Der Poel; Peter Schatteman; Alexandre Mottrie; Paolo Dell'Oglio
Journal:  World J Urol       Date:  2019-08-19       Impact factor: 4.226

2.  Simulator Availability Index: a novel easy indicator to track training trends. Is Europe currently at a urological training recession risk?

Authors:  Guglielmo Mantica; Juan Gomez Rivas; Diego M Carrion; Moises E Rodriguez-Socarrás; Francesco Esperto; Giovanni E Cacciamani; Domenico Veneziano
Journal:  Cent European J Urol       Date:  2020-04-06

3.  Development and initial validation of a cost-effective, re-usable, ultrasound-compatible suprapubic catheter insertion training simulator.

Authors:  Harkanwal Randhawa; Yuding Wang; Jen Hoogenes; Michael Uy; Bobby Shayegan; Anil Kapoor; Edward D Matsumoto
Journal:  Can Urol Assoc J       Date:  2022-02       Impact factor: 1.862

4.  Urology resident training in laparoscopic surgery - results of the first national survey in Poland.

Authors:  Bartosz Brzoszczyk; Tomasz Milecki; Piotr Jarzemski; Andrzej Antczak; Artur Antoniewicz; Anna Kołodziej
Journal:  Wideochir Inne Tech Maloinwazyjne       Date:  2019-01-22       Impact factor: 1.195

5.  The CURE Protocol: evaluation and external validation of a new public health strategy for treating paediatric hydrocephalus in low-resource settings.

Authors:  Jacob R Lepard; Michael C Dewan; Stephanie H Chen; Olufemi B Bankole; John Mugamba; Peter Ssenyonga; Abhaya V Kulkarni; Benjamin C Warf
Journal:  BMJ Glob Health       Date:  2020-02-23

6.  Simulation-based training for flexible cystoscopy - A randomized trial comparing two approaches.

Authors:  Sarah Bube; Julia Dagnaes-Hansen; Oria Mahmood; Malene Rohrsted; Flemming Bjerrum; Lisbeth Salling; Rikke B Hansen; Lars Konge
Journal:  Heliyon       Date:  2020-01-03

7.  Determination of Face and Content Validity of Cadaveric Model for Holmium Anatomic Endoscopic Enucleation of the Prostate Training: An ESUT AEEP Group Study.

Authors:  Lutfi Tunc; Giorgio Bozzini; Cesare Marco Scoffone; Selcuk Guven; Thomas Hermann; Angelo Porreca; Vincent Misrai; Sascha Ahyai; Murat Zor; Emin Aksoy; Ali S Gozen
Journal:  Eur Urol Open Sci       Date:  2021-08-18

8.  Evaluation of a remote-controlled laparoscopic camera holder for basic laparoscopic skills acquisition: a randomized controlled trial.

Authors:  Mohammad S A Amin; Abdullatif Aydin; Nurhan Abbud; Ben Van Cleynenbreugel; Domenico Veneziano; Bhaskar Somani; Ali Serdar Gözen; Juan Palou Redorta; M Shamim Khan; Prokar Dasgupta; Jonathan Makanjuoala; Kamran Ahmed
Journal:  Surg Endosc       Date:  2020-08-26       Impact factor: 4.584

9.  Virtual Reality and Simulation for Progressive Treatments in Urology.

Authors:  Alaric Hamacher; Taeg Keun Whangbo; Su Jin Kim; Kyung Jin Chung
Journal:  Int Neurourol J       Date:  2018-09-28       Impact factor: 2.835

10.  Development and validation of non-guided bladder-neck and neurovascular-bundle dissection modules of the RobotiX-Mentor® full-procedure robotic-assisted radical prostatectomy virtual reality simulation.

Authors:  Jan Ebbing; Peter N Wiklund; Olof Akre; Stefan Carlsson; Mats J Olsson; Jonas Höijer; Maurice Heimer; Justin W Collins
Journal:  Int J Med Robot       Date:  2020-11-13       Impact factor: 2.547

  10 in total

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