Yao, K., Uedo, N., Muto, M., Ishikawa, H., Cardona, H.J., Filho, E.C. Castro, Pittayanon, R., Olano, C., Yao, F., Parra-Blanco, A., Ho, S.H., Avendano, A.G., Piscoya, A., Fedorov, E., Bialek, A.P., Mitrakov, A., Caro, L., Gonen, C., Dolwani, Sunil ORCID: https://orcid.org/0000-0002-3113-5472, Farca, A., Cuaresma, L.F., Bonilla, J.J., Kasetsermwiriya, W., Ragunath, K., Kim, S.E., Marini, M., Li, H., Cimmino, D.G., Piskorz, M.M., Iacopini, F., So, J.B., Yamazaki, K., Kim, G.H., Ang, T.L., Milhomem-Cardoso, D.M., Waldbaum, C.A., Carvajal, W.A. Piedra, Hayward, C.M., Singh, R., Banerjee, R., Anagnostopoulos, G.K. and Takahashi, Y. 2016. Development of an E-learning system for the endoscopic diagnosis of early gastric cancer: An international multicentre randomized controlled trial. EBioMedicine 9 , pp. 140-147. 10.1016/j.ebiom.2016.05.016 |
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Abstract
Background: In many countries, gastric cancer is not diagnosed until an advanced stage. An Internet-based elearning system to improve the ability of endoscopists to diagnose gastric cancer at an early stagewas 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-elearning group were included in the analysis. The mean improvement rate (standard deviation) in the elearning and non-e-learning groups was 1·24 (0·26) and 1·00 (0·16), respectively (P b 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).
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Medicine |
Subjects: | R Medicine > R Medicine (General) |
Uncontrolled Keywords: | Endoscopic diagnosis; Gastric cancer; E-learning; International multicenter randomized controlled trial |
Publisher: | Elsevier |
ISSN: | 2352-3964 |
Date of First Compliant Deposit: | 25 January 2017 |
Date of Acceptance: | 16 May 2016 |
Last Modified: | 05 May 2023 12:12 |
URI: | https://orca.cardiff.ac.uk/id/eprint/97750 |
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