ArticleJournal of medical Internet research2009
The use of electronic data capture tools in clinical trials: Web-survey of 259 Canadian trials.
Article in Journal of medical Internet research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deficiencies in the transfer and availability of clinical trials evidence: a review of existing systems and standards.BMC medical informatics and decision making · 2012Pooled it
- Trial
- Clinical Trial Schedule of Activities Specification Using Fast Healthcare Interoperability Resources Definitional Resources: Mixed Methods Study.JMIR medical informatics · 2025Article
- Translation, cross-cultural adaptation into Brazilian Portuguese and electronic migration of the WERF EPHect endometriosis patient questionnaire.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025Article
- A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring.PLOS digital health · 2024Review
- "Click and mortar" opportunities for digitization and consumerism in trials.Contemporary clinical trials · 2023Article
- Review
- Ten Years of Medical Informatics and Standards Support for Clinical Research in an Infectious Diseases Network.Applied clinical informatics · 2023Article
- An Open-Source, Standard-Compliant, and Mobile Electronic Data Capture System for Medical Research (OpenEDC): Design and Evaluation Study.JMIR medical informatics · 2021Article
- Utilization of the iOS Shortcuts App to Generate a Surgical Logbook Tool: Feasibility Study.JMIR perioperative medicine · 2021Article
- Toward e-Scales: Digital Administration of the International Parkinson and Movement Disorder Society Rating Scales.Movement disorders clinical practice · 2021Article
- Modeling cancer clinical trials using HL7 FHIR to support downstream applications: A case study with colorectal cancer data.International journal of medical informatics · 2021Article
- Key components and IT assistance of participant management in clinical research: a scoping review.JAMIA open · 2020Article
- Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records.JCO clinical cancer informatics · 2020Article
- A minimum evaluation protocol and stepped-wedge cluster randomized trial of ACCESS Open Minds, a large Canadian youth mental health services transformation project.BMC psychiatry · 2019Article
- Implementing an Electronic Data Capture System to Improve Clinical Workflow in a Large Academic Radiation Oncology Practice.JCO clinical cancer informatics · 2018Article
- Acceptability of a German multicentre healthcare research study: a survey of research personnels' attitudes, experiences and work load.BMJ open · 2018Observational
- Web-Based Recruitment and Survey Methodology to Maximize Response Rates from Followers of Popular Diets: the Adhering to Dietary Approaches for Personal Taste (ADAPT) Feasibility Survey.Current developments in nutrition · 2018Article
- ODM Data Analysis-A tool for the automatic validation, monitoring and generation of generic descriptive statistics of patient data.PloS one · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectronic 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.
objectivesOur 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.
methodsWe 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.
resultsWe 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.
conclusionThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.