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Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972485/ https://www.ncbi.nlm.nih.gov/pubmed/27333048 http://dx.doi.org/10.1016/j.ebiom.2016.05.016 |
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author | 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, S. 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. Takahashi, Y. |
author_facet | 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, S. 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. Takahashi, Y. |
author_sort | Yao, K. |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-4972485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-49724852016-08-10 Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial 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, S. 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. Takahashi, Y. EBioMedicine Research Paper 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). Elsevier 2016-05-17 /pmc/articles/PMC4972485/ /pubmed/27333048 http://dx.doi.org/10.1016/j.ebiom.2016.05.016 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Paper 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, S. 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. Takahashi, Y. Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial |
title | Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial |
title_full | Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial |
title_fullStr | Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial |
title_full_unstemmed | Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial |
title_short | Development of an E-learning System for the Endoscopic Diagnosis of Early Gastric Cancer: An International Multicenter Randomized Controlled Trial |
title_sort | development of an e-learning system for the endoscopic diagnosis of early gastric cancer: an international multicenter randomized controlled trial |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4972485/ https://www.ncbi.nlm.nih.gov/pubmed/27333048 http://dx.doi.org/10.1016/j.ebiom.2016.05.016 |
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