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The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials
BACKGROUND: Electronic data capture (EDC) tools provide automated support for data collection, reporting, query resolution, randomization, and validation, among other features, for clinical trials. There is a trend toward greater adoption of EDC tools in clinical trials, but there is also uncertaint...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Gunther Eysenbach
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762772/ https://www.ncbi.nlm.nih.gov/pubmed/19275984 http://dx.doi.org/10.2196/jmir.1120 |
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author | El Emam, Khaled Jonker, Elizabeth Sampson, Margaret Krleža-Jerić, Karmela Neisa, Angelica |
author_facet | El Emam, Khaled Jonker, Elizabeth Sampson, Margaret Krleža-Jerić, Karmela Neisa, Angelica |
author_sort | El Emam, Khaled |
collection | PubMed |
description | BACKGROUND: Electronic data capture (EDC) tools provide automated support for data collection, reporting, query resolution, randomization, and validation, among other features, for clinical trials. There is a trend toward greater adoption of EDC tools in clinical trials, but there is also uncertainty about how many trials are actually using this technology in practice. A systematic review of EDC adoption surveys conducted up to 2007 concluded that only 20% of trials are using EDC systems, but previous surveys had weaknesses. OBJECTIVES: Our primary objective was to estimate the proportion of phase II/III/IV Canadian clinical trials that used an EDC system in 2006 and 2007. The secondary objectives were to investigate the factors that can have an impact on adoption and to develop a scale to assess the extent of sophistication of EDC systems. METHODS: We conducted a Web survey to estimate the proportion of trials that were using an EDC system. The survey was sent to the Canadian site coordinators for 331 trials. We also developed and validated a scale using Guttman scaling to assess the extent of sophistication of EDC systems. Trials using EDC were compared by the level of sophistication of their systems. RESULTS: We had a 78.2% response rate (259/331) for the survey. It is estimated that 41% (95% CI 37.5%-44%) of clinical trials were using an EDC system. Trials funded by academic institutions, government, and foundations were less likely to use an EDC system compared to those sponsored by industry. Also, larger trials tended to be more likely to adopt EDC. The EDC sophistication scale had six levels and a coefficient of reproducibility of 0.901 (P< .001) and a coefficient of scalability of 0.79. There was no difference in sophistication based on the funding source, but pediatric trials were likely to use a more sophisticated EDC system. CONCLUSION: The adoption of EDC systems in clinical trials in Canada is higher than the literature indicated: a large proportion of clinical trials in Canada use some form of automated data capture system. To inform future adoption, research should gather stronger evidence on the costs and benefits of using different EDC systems. |
format | Text |
id | pubmed-2762772 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Gunther Eysenbach |
record_format | MEDLINE/PubMed |
spelling | pubmed-27627722009-10-16 The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials El Emam, Khaled Jonker, Elizabeth Sampson, Margaret Krleža-Jerić, Karmela Neisa, Angelica J Med Internet Res Original Paper BACKGROUND: Electronic data capture (EDC) tools provide automated support for data collection, reporting, query resolution, randomization, and validation, among other features, for clinical trials. There is a trend toward greater adoption of EDC tools in clinical trials, but there is also uncertainty about how many trials are actually using this technology in practice. A systematic review of EDC adoption surveys conducted up to 2007 concluded that only 20% of trials are using EDC systems, but previous surveys had weaknesses. OBJECTIVES: Our primary objective was to estimate the proportion of phase II/III/IV Canadian clinical trials that used an EDC system in 2006 and 2007. The secondary objectives were to investigate the factors that can have an impact on adoption and to develop a scale to assess the extent of sophistication of EDC systems. METHODS: We conducted a Web survey to estimate the proportion of trials that were using an EDC system. The survey was sent to the Canadian site coordinators for 331 trials. We also developed and validated a scale using Guttman scaling to assess the extent of sophistication of EDC systems. Trials using EDC were compared by the level of sophistication of their systems. RESULTS: We had a 78.2% response rate (259/331) for the survey. It is estimated that 41% (95% CI 37.5%-44%) of clinical trials were using an EDC system. Trials funded by academic institutions, government, and foundations were less likely to use an EDC system compared to those sponsored by industry. Also, larger trials tended to be more likely to adopt EDC. The EDC sophistication scale had six levels and a coefficient of reproducibility of 0.901 (P< .001) and a coefficient of scalability of 0.79. There was no difference in sophistication based on the funding source, but pediatric trials were likely to use a more sophisticated EDC system. CONCLUSION: The adoption of EDC systems in clinical trials in Canada is higher than the literature indicated: a large proportion of clinical trials in Canada use some form of automated data capture system. To inform future adoption, research should gather stronger evidence on the costs and benefits of using different EDC systems. Gunther Eysenbach 2009-03-09 /pmc/articles/PMC2762772/ /pubmed/19275984 http://dx.doi.org/10.2196/jmir.1120 Text en © Khaled El Emam, Elizabeth Jonker, Margaret Sampson, Karmela Krleza-Jeric, Angelica Neisa. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 09.03.2009. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper El Emam, Khaled Jonker, Elizabeth Sampson, Margaret Krleža-Jerić, Karmela Neisa, Angelica The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials |
title | The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials |
title_full | The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials |
title_fullStr | The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials |
title_full_unstemmed | The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials |
title_short | The Use of Electronic Data Capture Tools in Clinical Trials: Web-Survey of 259 Canadian Trials |
title_sort | use of electronic data capture tools in clinical trials: web-survey of 259 canadian trials |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2762772/ https://www.ncbi.nlm.nih.gov/pubmed/19275984 http://dx.doi.org/10.2196/jmir.1120 |
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