title: A lay person versus a trained endoscopist: can the preop endoscopy simulator detect a difference?
abstract: The purpose of this study was to establish construct validation of a flexible sigmoidoscopy simulator by comparing training-level grouped subjects. These included clerical staff (n = 10), residents (n = 19), and experts (n = 5). Each participant performed 3 scopes. The ANOVA group-based results for trainer-measured variables are shown in Table 1. These results demonstrate that the flexible sigmoidoscopy simulator distinguished the trained from the untrained and the resident from the expert. Although there was no statistically significant differences between the senior residents and the experts, the expert commonly outperformed the residents. Establishing the transferability of simulator training to real life is next. If the transfer of skill can be established, it may give rise to a new skills training approach.
authors.affiliation: Department of Surgery and Internal Medicine, Southern Illinois University School of Medicine, P.O. Box 19638, Springfield, IL 62794-9638, USA. macdp@hotmail.com
authors.forename: J
authors.initials: J
authors.lastname: MacDonald
authors.forename: J
authors.initials: J
authors.lastname: Ketchum
authors.forename: R G
authors.initials: RG
authors.lastname: Williams
authors.forename: L Q
authors.initials: LQ
authors.lastname: Rogers
mesh_terms: D000288:Administrative Personnel / Q000145:classification / Q000592:standards / Q000706:statistics & numerical data; D002983:Clinical Competence / Q000592:standards* / Q000706:statistics & numerical data; D003198:Computer Simulation / Q000592:standards* / Q000706:statistics & numerical data; D006801:Humans; D007396:Internship and Residency / Q000145:classification / Q000592:standards / Q000706:statistics & numerical data; D008505:Medical Staff, Hospital / Q000145:classification / Q000706:statistics & numerical data / Q000639:trends; D010821:Physicians, Family / Q000145:classification / Q000592:standards / Q000706:statistics & numerical data; D020694:Sigmoidoscopes / Q000592:standards / Q000706:statistics & numerical data / Q000639:trends; D012812:Sigmoidoscopy / Q000379:methods / Q000592:standards* / Q000706:statistics & numerical data; D012984:Software / Q000592:standards; D012986:Software Validation