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Fong ML, Leeder P, Dexter S, Menzies D, Sedman P, Francis N. Development and evaluation of an objective laparoscopic assessment tool: LapPass®. Ann R Coll Surg Engl 2021; 104:367-372. [PMID: 34822254 DOI: 10.1308/rcsann.2021.0207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Laparoscopic surgery is technically challenging and assessment of competency is necessary to ensure patient safety and guide training. We report on the development of LapPass®, an accessible objective simulation assessment tool with credentialing potential. We provide a preliminary evaluation of its usability and aspects of validity. METHODS The domains of LapPass® were defined through a consensus process by the executive council of the Association of Laparoscopic Surgeons of Great Britain and Ireland (ALSGBI). A survey of both assessors and trainees was used to test for usability, face and content validity of LapPass®. Internal consistency was tested with Cronbach's alpha, and a composite marker of validity and usability was obtained. RESULTS LapPass® was developed to consist of four tasks: (1) grasping and manipulation, (2) simulated appendicectomy, (3) cutting a disk and (4) intracorporeal suturing. A total of 76 participants contributed to the evaluation of LapPass®: 13 assessors and 63 trainees. For assessors, Cronbach's alpha for usability of tasks 1-4 was 0.84, 0.84, 0.76 and 0.86, whereas validity was 0.80, 0.85, 0.88, 0.95, respectively. For trainees, Cronbach's alpha was 0.75, 0.77, 0.80 and 0.85 for usability, and 0.79, 093, 0.87 and 0.91 for validity. Consensus was that each task was usable and had face and content validity, with median scores of 4.0 or higher (interquartile range 0.0-1.0). CONCLUSION LapPass® has potential for the objective assessment of basic laparoscopic skills but further research is required to explore its predictive capabilities in a clinical setting.
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Affiliation(s)
- M L Fong
- North Central and East London Deanery, Health Education England, UK.,Imperial College London, UK
| | - P Leeder
- University Hospitals of Derby and Burton NHS Foundation Trust, UK
| | - S Dexter
- The Leeds Teaching Hospitals NHS Trust, UK
| | - D Menzies
- The Royal College of Surgeons of England, UK
| | - P Sedman
- Hull University Teaching Hospitals NHS Trust, UK
| | - N Francis
- Yeovil District Hospital NHS Foundation Trust, UK.,Directorate of Training, Northwick Park Institute of Medical Research, UK.,University College London, UK
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