Literature DB >> 14559441

A valid method of laparoscopic simulation training and competence assessment.

Gina L Adrales1, Adrian E Park, Uyen B Chu, Donald B Witzke, Michael B Donnelly, James D Hoskins, Michael J Mastrangelo, Alejandro Gandsas.   

Abstract

BACKGROUND: The purpose of our study was to evaluate the construct validity of laparoscopic technical performance measures and the face validity of three laparoscopic simulations.
MATERIALS AND METHODS: Subjects (N = 27) of varying levels of surgical experience performed three laparoscopic simulations, representing appendectomy (LA), cholecystectomy (LC), and inguinal hemiorrhaphy (LH). Five laparoscopic surgeons, blinded to the identity of the subjects, rated the subjects on procedural competence on a binary scale and in four skills categories on a 5-point scale: clinical judgment, dexterity, serial/simultaneous complexity, and spatial orientation. Using a task-specific checklist, non-clinical staff assessed the technical errors. The level of surgical experience was correlated with the ratings, the technical errors, and the time for each procedure. Subject responses to a survey regarding the utility of the inanimate models were evaluated.
RESULTS: Years of experience directly correlated with the skills ratings (all P < 0.001) and with the competence ratings across the three procedures (P < 0.01). Experience inversely correlated with the time for each procedure (P < 0.01) and the technical error total across the three models (P < 0.05). Nearly all subjects agreed that the corresponding procedures were well represented by the simulations (LA 96%, LC 96%, LH 100%).
CONCLUSION: The laparoscopic simulations demonstrated both face and construct validity. Regardless of the level of surgical experience, the subjects found the models to be suitable representations of actual laparoscopic procedures. Task speed improved with surgical experience. More importantly, the quality of performance increased with experience, as shown by the improvement in the skills assessments by expert laparoscopic surgeons.

Mesh:

Year:  2003        PMID: 14559441     DOI: 10.1016/s0022-4804(03)00315-9

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  7 in total

1.  Support vector machines improve the accuracy of evaluation for the performance of laparoscopic training tasks.

Authors:  Brian Allen; Vasile Nistor; Erik Dutson; Greg Carman; Catherine Lewis; Petros Faloutsos
Journal:  Surg Endosc       Date:  2009-06-16       Impact factor: 4.584

Review 2.  Defining technical errors in laparoscopic surgery: a systematic review.

Authors:  Esther M Bonrath; Nicolas J Dedy; Boris Zevin; Teodor P Grantcharov
Journal:  Surg Endosc       Date:  2013-02-23       Impact factor: 4.584

3.  Value and limits of experience.

Authors:  Francine Lemire
Journal:  Can Fam Physician       Date:  2017-10       Impact factor: 3.275

Review 4.  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

5.  Analysis of a structured training programme in laparoscopic cholecystectomy.

Authors:  Salleh Ibrahim; Khoon Hean Tay; Swee Ho Lim; T Ravintharan; Ngian Chye Tan
Journal:  Langenbecks Arch Surg       Date:  2008-01-10       Impact factor: 3.445

Review 6.  Decision making in urological surgery.

Authors:  Hamid Abboudi; Kamran Ahmed; Pasha Normahani; May Abboudi; Roger Kirby; Ben Challacombe; Mohammed Shamim Khan; Prokar Dasgupta
Journal:  Int Urol Nephrol       Date:  2012-02-26       Impact factor: 2.370

7.  Arthroscopic proficiency: methods in evaluating competency.

Authors:  Justin L Hodgins; Christian Veillette
Journal:  BMC Med Educ       Date:  2013-05-01       Impact factor: 2.463

  7 in total

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