Literature DB >> 34090675

Assessment of technical skills based on learning curve analyses in laparoscopic surgery training.

Sem F Hardon1, Leonie A van Gastel2, Tim Horeman3, Freek Daams4.   

Abstract

BACKGROUND: Objective force- and motion-based assessment is currently lacking in laparoscopic skills curricula. This study aimed to evaluate the added value of parameter-based assessment and feedback during training.
METHODS: Laparoscopy-naïve surgical residents that took part in a 3-week skills training curriculum were included. A box trainer equipped with the ForceSense system was used for assessment of tissue manipulation- (MaxForce) and instrument-handling skills (Path length and Time). Learning curves were established using linear regression tests. Pre- and post-course comparisons indicated the overall progression and were compared to predefined proficiency levels. A post-course survey was carried out to assess face validity.
RESULTS: In total, 4,268 trials, executed by 24 residents, were successfully assessed. Median (interquartile range) MaxForce outcomes improved from 2.7 Newton (interquartile range 1.9-3.8) to 1.8 Newton (interquartile range 1.2-2.4) between pre- and post-course assessment (P ≤ .009). Instrument Path length improved from 7,102.2 mm (interquartile range 5,255.2-9,025.9) to 3,545.3 mm (interquartile range 2,842.9-4,563.2) (P ≤.001). Time to execute the task improved from 159.8 seconds (interquartile range 119.8-219.0) to 60.7 seconds (interquartile range 46.0-79.5) (P ≤ .001). The learning curves revealed during what training phase the proficiency benchmarks were reached for each trainee. In the survey outcomes, trainees indicated that this curriculum should be part of a surgical residency program (mean visual analog scale score of 9.2 ± 0.9 standard deviation).
CONCLUSION: Force-, motion-, and time-parameters can be objectively measured during basic laparoscopic skills curricula and do indicate progression of skills over time. The ForceSense parameters enable curricula to be designed for specific proficiency-based training goals and offer the possibility for objective classification of the levels of expertise.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Year:  2021        PMID: 34090675     DOI: 10.1016/j.surg.2021.04.024

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  2 in total

Review 1.  Minimally Invasive Surgery for Cervical Cancer in Light of the LACC Trial: What Have We Learned?

Authors:  Omar Touhami; Marie Plante
Journal:  Curr Oncol       Date:  2022-02-14       Impact factor: 3.677

2.  Validation of the portable virtual reality training system for robotic surgery (PoLaRS): a randomized controlled trial.

Authors:  Anton Kooijmans; Tim Horeman; Sem F Hardon; Roel Horeman; Maarten van der Elst; Alexander L A Bloemendaal
Journal:  Surg Endosc       Date:  2021-12-06       Impact factor: 3.453

  2 in total

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