2013Journal of Laparoendoscopic & Advanced Surgical TechniquesRequires access

Construct, Concurrent, and Content Validity of the eoSim Laparoscopic Simulator

Iain A.M. Hennessey, Peter J. Hewett

Open publisher page 54 citations

Abstract

BACKGROUND: The purpose of this study was to validate the eoSim box laparoscopic simulator using measures of construct, concurrent, and content validity. SUBJECTS AND METHODS: Forty-seven novice and expert participants were tested on both the Fundamentals of Laparoscopic Surgery (FLS™; Society of American Gastrointestinal and Endoscopic Surgeons, Los Angles, CA) and eoSim (eoSurgical™, Edinburgh, Scotland, United Kingdom) laparoscopic simulators, using established scoring mechanisms. Three skill areas were examined: object transfer, precision cutting, and intracorporeal suturing. A questionnaire was also completed. RESULTS: Experts performed significantly better on the eoSim than novices, with a median score of 51.1% versus 14.8% (P<.0001), showing construct validity. There was a high correlation between performance on the validated FLS simulator and the eoSim (0.78; P<.0001), demonstrating concurrent validity. Feedback from participants indicated an agreement that the eoSim was a useful training tool providing content validity. CONCLUSIONS: The eoSim demonstrates validity as a model for laparoscopic simulation. It is hoped that its decreased cost relative to other simulators will encourage increased uptake by trainees and institutions.

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BACKGROUND: The purpose of this study was to validate the eoSim box laparoscopic simulator using measures of construct, concurrent, and content validity. SUBJECTS AND METHODS: Forty-seven novice and expert participants were tested on both the Fundamentals of Laparoscopic Surgery (FLS™; Society of American Gastrointestinal and Endoscopic Surgeons, Los Angles, CA) and eoSim (eoSurgical™, Edinburgh, Scotland, United Kingdom) laparoscopic simulators, using established scoring mechanisms. Three skill areas were examined: object transfer, precision cutting, and intracorporeal suturing. A questionnaire was also completed. RESULTS: Experts performed significantly better on the eoSim than novices, with a median score of 51.1% versus 14.8% (P<.0001), showing construct validity. There was a high correlation between performance on the validated FLS simulator and the eoSim (0.78; P<.0001), demonstrating concurrent validity. Feedback from participants indicated an agreement that the eoSim was a useful training tool providing content validity. CONCLUSIONS: The eoSim demonstrates validity as a model for laparoscopic simulation. It is hoped that its decreased cost relative to other simulators will encourage increased uptake by trainees and institutions.

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Available abstract

BACKGROUND: The purpose of this study was to validate the eoSim box laparoscopic simulator using measures of construct, concurrent, and content validity. SUBJECTS AND METHODS: Forty-seven novice and expert participants were tested on both the Fundamentals of Laparoscopic Surgery (FLS™; Society of American Gastrointestinal and Endoscopic Surgeons, Los Angles, CA) and eoSim (eoSurgical™, Edinburgh, Scotland, United Kingdom) laparoscopic simulators, using established scoring mechanisms. Three skill areas were examined: object transfer, precision cutting, and intracorporeal suturing. A questionnaire was also completed. RESULTS: Experts performed significantly better on the eoSim than novices, with a median score of 51.1% versus 14.8% (P<.0001), showing construct validity. There was a high correlation between performance on the validated FLS simulator and the eoSim (0.78; P<.0001), demonstrating concurrent validity. Feedback from participants indicated an agreement that the eoSim was a useful training tool providing content validity. CONCLUSIONS: The eoSim demonstrates validity as a model for laparoscopic simulation. It is hoped that its decreased cost relative to other simulators will encourage increased uptake by trainees and institutions.

Key concepts: Construct validity, Content validity, Concurrent validity, Medicine, Construct (python library), Face validity, Physical therapy, Simulation

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