Literature DB >> 25303906

Zone calculation as a tool for assessing performance outcome in laparoscopic suturing.

Christina E Buckley1, Dara O Kavanagh, Emmeline Nugent, Donncha Ryan, Oscar J Traynor, Paul C Neary.   

Abstract

BACKGROUND: Simulator performance is measured by metrics, which are valued as an objective way of assessing trainees. Certain procedures such as laparoscopic suturing, however, may not be suitable for assessment under traditionally formulated metrics. Our aim was to assess if our new metric is a valid method of assessing laparoscopic suturing. STUDY
DESIGN: A software program was developed to order to create a new metric, which would calculate the percentage of time spent operating within pre-defined areas called "zones." Twenty-five candidates (medical students N = 10, surgical residents N = 10, and laparoscopic experts N = 5) performed the laparoscopic suturing task on the ProMIS III(®) simulator. New metrics of "in-zone" and "out-zone" scores as well as traditional metrics of time, path length, and smoothness were generated. Performance was also assessed by two blinded observers using the OSATS and FLS rating scales. This novel metric was evaluated by comparing it to both traditional metrics and subjective scores.
RESULTS: There was a significant difference in the average in-zone and out-zone scores between all three experience groups (p < 0.05). The new zone metrics scores correlated significantly with the subjective-blinded observer scores of OSATS and FLS (p = 0.0001). The new zone metric scores also correlated significantly with the traditional metrics of path length, time, and smoothness (p < 0.05).
CONCLUSION: The new metric is a valid tool for assessing laparoscopic suturing objectively. This could be incorporated into a competency-based curriculum to monitor resident progression in the simulated setting.

Mesh:

Year:  2014        PMID: 25303906     DOI: 10.1007/s00464-014-3840-z

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  15 in total

1.  Surgical competence and surgical proficiency: definitions, taxonomy, and metrics.

Authors:  Richard M Satava; Anthony G Gallagher; Carlos A Pellegrini
Journal:  J Am Coll Surg       Date:  2003-06       Impact factor: 6.113

2.  Initial laparoscopic basic skills training shortens the learning curve of laparoscopic suturing and is cost-effective.

Authors:  Dimitrios Stefanidis; William W Hope; James R Korndorffer; Sarah Markley; Daniel J Scott
Journal:  J Am Coll Surg       Date:  2010-04       Impact factor: 6.113

3.  Effects of virtual reality simulator training method and observational learning on surgical performance.

Authors:  Christopher W Snyder; Marianne J Vandromme; Sharon L Tyra; John R Porterfield; Ronald H Clements; Mary T Hawn
Journal:  World J Surg       Date:  2011-02       Impact factor: 3.352

4.  Construct validation of a novel hybrid surgical simulator.

Authors:  D Broe; P F Ridgway; S Johnson; S Tierney; K C Conlon
Journal:  Surg Endosc       Date:  2006-05-12       Impact factor: 4.584

5.  Framework for systematic training and assessment of technical skills.

Authors:  Rajesh Aggarwal; Teodor P Grantcharov; Ara Darzi
Journal:  J Am Coll Surg       Date:  2007-04       Impact factor: 6.113

6.  Construct validity of the ProMIS laparoscopic simulator.

Authors:  A D Gilliam
Journal:  Surg Endosc       Date:  2009-03-05       Impact factor: 4.584

7.  Construct validation of a novel hybrid virtual-reality simulator for training and assessing laparoscopic colectomy; results from the first course for experienced senior laparoscopic surgeons.

Authors:  Paul C Neary; Emily Boyle; Conor P Delaney; Anthony J Senagore; Frank B V Keane; Anthony G Gallagher
Journal:  Surg Endosc       Date:  2008-06-14       Impact factor: 4.584

Review 8.  Is motion analysis a valid tool for assessing laparoscopic skill?

Authors:  John D Mason; James Ansell; Neil Warren; Jared Torkington
Journal:  Surg Endosc       Date:  2012-12-12       Impact factor: 4.584

9.  Feedback in clinical medical education.

Authors:  J Ende
Journal:  JAMA       Date:  1983-08-12       Impact factor: 56.272

10.  Meaningful assessment method for laparoscopic suturing training in augmented reality.

Authors:  Sanne M B I Botden; I H J T de Hingh; J J Jakimowicz
Journal:  Surg Endosc       Date:  2009-01-01       Impact factor: 4.584

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  4 in total

1.  Simulation platforms to assess laparoscopic suturing skills: a scoping review.

Authors:  Elif Bilgic; Motaz Alyafi; Tomonori Hada; Tara Landry; Gerald M Fried; Melina C Vassiliou
Journal:  Surg Endosc       Date:  2019-05-14       Impact factor: 4.584

2.  One or two trainees per workplace for laparoscopic surgery training courses: results from a randomized controlled trial.

Authors:  Karl-Friedrich Kowalewski; Andreas Minassian; Jonathan David Hendrie; Laura Benner; Anas Amin Preukschas; Hannes Götz Kenngott; Lars Fischer; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2018-09-07       Impact factor: 4.584

Review 3.  A scoping review of assessment tools for laparoscopic suturing.

Authors:  Elif Bilgic; Satoshi Endo; Ekaterina Lebedeva; Madoka Takao; Katherine M McKendy; Yusuke Watanabe; Liane S Feldman; Melina C Vassiliou
Journal:  Surg Endosc       Date:  2018-05-03       Impact factor: 4.584

4.  Motion analysis for better understanding of psychomotor skills in laparoscopy: objective assessment-based simulation training using animal organs.

Authors:  Koki Ebina; Takashige Abe; Madoka Higuchi; Jun Furumido; Naoya Iwahara; Masafumi Kon; Kiyohiko Hotta; Shunsuke Komizunai; Yo Kurashima; Hiroshi Kikuchi; Ryuji Matsumoto; Takahiro Osawa; Sachiyo Murai; Teppei Tsujita; Kazuya Sase; Xiaoshuai Chen; Atsushi Konno; Nobuo Shinohara
Journal:  Surg Endosc       Date:  2020-09-09       Impact factor: 4.584

  4 in total

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