Literature DB >> 33630473

A Systematic Review and Meta-analysis on the Impact of Proficiency-based Progression Simulation Training on Performance Outcomes.

Elio Mazzone1,2, Stefano Puliatti2,3,4, Marco Amato2,3,4, Brendan Bunting5, Bernardo Rocco4, Francesco Montorsi1, Alexandre Mottrie2,3, Anthony G Gallagher2,5,6.   

Abstract

OBJECTIVE: To analyze all published prospective, randomized, and blinded clinical studies on the proficiency-based progression (PBP) training using objective performance metrics.
BACKGROUND: The benefit of PBP methodology to learning clinical skills in comparison to conventional training is not settled.
METHODS: Search of PubMed, Cochrane library's Central, EMBASE, MEDLINE, and Scopus databases, from inception to 1st March 2020. Two independent reviewers extracted the data. The Medical Education Research Study Quality Instrument (MERSQI) was used to assess the methodological quality of included studies. Results were pooled using biased corrected standardized mean difference and ratio-of-means. Summary effects were evaluated using a series of fixed and random effects models. The primary outcome was the number of procedural errors performed comparing PBP and non-PBP-based training pathways. Secondary outcomes were the number of procedural steps completed and the time to complete the task/procedure.
RESULTS: From the initial pool of 468 studies, 12 randomized clinical studies with a total of 239 participants were included in the analysis. In comparison to the non-PBP training, ratio-of-means results showed that PBP training reduced the number of performance errors by 60% (P < 0.001) and procedural time by 15% (P = 0.003) and increased the number of steps performed by 47% (P < 0.001). CONCLUSIONS AND RELEVANCE: Our systematic review and meta-analysis confirms that PBP training in comparison to conventional or quality assured training improved trainees' performances, by decreasing procedural errors and procedural time, while increasing the number of correct steps taken when compared to standard simulation-based training.
Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Year:  2021        PMID: 33630473     DOI: 10.1097/SLA.0000000000004650

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


  7 in total

Review 1.  Training and assessment using the LapSim laparoscopic simulator: a scoping review of validity evidence.

Authors:  Conor Toale; Marie Morris; Dara O Kavanagh
Journal:  Surg Endosc       Date:  2022-09-19       Impact factor: 3.453

2.  Intraoperative robotic-assisted low anterior rectal resection performance assessment using procedure-specific binary metrics and a global rating scale.

Authors:  Marcos Gómez Ruiz; Samson Tou; Anthony G Gallagher; Carmen Cagigas Fernández; Lidia Cristobal Poch; Klaus E Matzel
Journal:  BJS Open       Date:  2022-05-02

3.  Learning Curve Analysis for Intracorporeal Robot-assisted Radical Cystectomy: Results from the EAU Robotic Urology Section Scientific Working Group.

Authors:  Carl J Wijburg; Gerjon Hannink; Charlotte T J Michels; Philip C Weijerman; Rami Issa; Andrea Tay; Karel Decaestecker; Peter Wiklund; Abolfazl Hosseini; Ashwin Sridhar; John Kelly; Frederiek d'Hondt; Alexandre Mottrie; Sjoerd Klaver; Sebastian Edeling; Paolo Dell'Oglio; Francesco Montorsi; Maroeska M Rovers; J Alfred Witjes
Journal:  Eur Urol Open Sci       Date:  2022-04-02

Review 4.  New imaging technologies for robotic kidney cancer surgery.

Authors:  Stefano Puliatti; Ahmed Eissa; Enrico Checcucci; Pietro Piazza; Marco Amato; Stefania Ferretti; Simone Scarcella; Juan Gomez Rivas; Mark Taratkin; Josè Marenco; Ines Belenchon Rivero; Karl-Friedrich Kowalewski; Giovanni Cacciamani; Ahmed El-Sherbiny; Ahmed Zoeir; Abdelhamid M El-Bahnasy; Ruben De Groote; Alexandre Mottrie; Salvatore Micali
Journal:  Asian J Urol       Date:  2022-06-01

5.  Efficacy of a perfused cadaver model for simulated trauma resuscitation in advanced surgical skills training.

Authors:  Tongporn Wannatoop; Rosarin Ratanalekha; Wanchai Wongkornrat; Kris Keorochana; Parkpoom Piyaman
Journal:  BMC Surg       Date:  2022-08-08       Impact factor: 2.030

6.  Virtual classroom proficiency-based progression for robotic surgery training (VROBOT): a randomised, prospective, cross-over, effectiveness study.

Authors:  Arjun Nathan; Sonam Patel; Maria Georgi; Monty Fricker; Aqua Asif; Alexander Ng; William Mullins; Man Kien Hang; Alexander Light; Senthil Nathan; Nader Francis; John Kelly; Justin Collins; Ashwin Sridhar
Journal:  J Robot Surg       Date:  2022-10-17

7.  Metric-Based Simulation Training to Proficiency for Endovascular Thrombectomy in Ischemic Stroke.

Authors:  Markus Holtmannspötter; Robert A Crossley; Thomas Liebig; Anthony G Gallagher
Journal:  Front Neurol       Date:  2022-09-27       Impact factor: 4.086

  7 in total

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