Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
- PMID: 27333048
- PMCID: PMC4972485
- DOI: 10.1016/j.ebiom.2016.05.016
Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
Abstract
Background: In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based e-learning system to improve the ability of endoscopists to diagnose gastric cancer at an early stage was developed and was evaluated for its effectiveness.
Methods: The study was designed as a randomized controlled trial. After receiving a pre-test, participants were randomly allocated to either an e-learning or non-e-learning group. Only those in the e-learning group gained access to the e-learning system. Two months after the pre-test, both groups received a post-test. The primary endpoint was the difference between the two groups regarding the rate of improvement of their test results.
Findings: 515 endoscopists from 35 countries were assessed for eligibility, and 332 were enrolled in the study, with 166 allocated to each group. Of these, 151 participants in the e-learning group and 144 in the non-e-learning group were included in the analysis. The mean improvement rate (standard deviation) in the e-learning and non-e-learning groups was 1·24 (0·26) and 1·00 (0·16), respectively (P<0·001).
Interpretation: This global study clearly demonstrated the efficacy of an e-learning system to expand knowledge and provide invaluable experience regarding the endoscopic detection of early gastric cancer (R000012039).
Keywords: E-learning; Endoscopic diagnosis; Gastric cancer; International multicenter randomized controlled trial.
Copyright © 2016 The Authors. Published by Elsevier B.V. All rights reserved.
Figures
References
-
- American Cancer Society. Cancer facts & figures 2014. http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2... Available from.
-
- American Gastroenterological Association (AGA) Institute technology assessment on image-enhanced endoscopy. Gastroenteology. 2008;134:327–340. - PubMed
-
- Ezoe Y., Muto M., Uedo N. Magnifying narrowband imaging is more accurate than conventional white-light imaging in diagnosis of gastric mucosal cancer. Gastroenterology. 2011;141:2017–2025. - PubMed
-
- GLOBOCAN Estimated Incidence, Mortality and Prevalence in 2012. 2012. http://globocan.iarc.fr/Default.aspx Available from.
-
- Japanese Gastric Cancer Association Japanese classification of gastric carcinoma: 3rd English edition. Gastric Cancer. 2011;14:101–112. - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical
