Is motion analysis a valid tool for assessing laparoscopic skill?

Mason, John D., Ansell, James, Warren, Neil and Torkington, Jared 2013. Is motion analysis a valid tool for assessing laparoscopic skill? Surgical Endoscopy 27 (5) , pp. 1468-1477. 10.1007/s00464-012-2631-7

Full text not available from this repository.

Abstract

Background: The use of simulation for laparoscopic training has led to the development of objective tools for skills assessment. Motion analysis represents one area of focus. This study was designed to assess the evidence for the use of motion analysis as a valid tool for laparoscopic skills assessment. Methods: Embase, MEDLINE and PubMed were searched using the following domains: (1) motion analysis, (2) validation and (3) laparoscopy. Studies investigating motion analysis as a tool for assessment of laparoscopic skill in general surgery were included. Common endpoints in motion analysis metrics were compared between studies according to a modified form of the Oxford Centre for Evidence-Based Medicine levels of evidence and recommendation. Results: Thirteen studies were included from 2,039 initial papers. Twelve (92.3 %) reported the construct validity of motion analysis across a range of laparoscopic tasks. Of these 12, 5 (41.7 %) evaluated the ProMIS Augmented Reality Simulator, 3 (25 %) the Imperial College Surgical Assessment Device (ICSAD), 2 (16.7 %) the Hiroshima University Endoscopic Surgical Assessment Device (HUESAD), 1 (8.33 %) the Advanced Dundee Endoscopic Psychomotor Tester (ADEPT) and 1 (8.33 %) the Robotic and Video Motion Analysis Software (ROVIMAS). Face validity was reported by 1 (7.7 %) study each for ADEPT and ICSAD. Concurrent validity was reported by 1 (7.7 %) study each for ADEPT, ICSAD and ProMIS. There was no evidence for predictive validity. Conclusions: Evidence exists to validate motion analysis for use in laparoscopic skills assessment. Valid parameters are time taken, path length and number of hand movements. Future work should concentrate on the conversion of motion data into competency-based scores for trainee feedback.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine Postgraduate Medical and Dental Education
Subjects:	R Medicine > RC Internal medicine R Medicine > RD Surgery
Uncontrolled Keywords:	Quality Control; Surgical < technical; Education
Publisher:	Springer
ISSN:	0930-2794
Last Modified:	05 Feb 2020 03:21
URI:	https://orca.cardiff.ac.uk/id/eprint/61470

Citation Data

Cited 91 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item