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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...

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Autores principales: El Emam, Khaled, Jonker, Elizabeth, Sampson, Margaret, Krleža-Jerić, Karmela, Neisa, Angelica
Formato: Texto
Lenguaje:English
Publicado: Gunther Eysenbach 2009
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.
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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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