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COllaborative open platform E-cohorts for research acceleration in trials and epidemiology
- Source :
- Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2020, 124, pp.139-148. ⟨10.1016/j.jclinepi.2020.04.021⟩
- Publication Year :
- 2020
- Publisher :
- HAL CCSD, 2020.
-
Abstract
- Background The current clinical research system relies on a “one-off” project-by-project model involving a costly and time-wasting permanent construction and deconstruction of the research infrastructure. We propose a new model of research relying on collaborative principles: the COllaborative Open Platform (COOP’) e-cohort. Development The COOP’ e-cohort aims at building a large community of patients willing to participate in research by contributing to the generation of a large database of patient-reported data, passively enriched, at the individual level, by linkage with routinely collected care and/or medico-administrative data. Approved teams can use the platform and benefit from already enrolled participants or collected data or add new online questionnaires to perform observational or interventional studies to answer a broad range of research questions. Application The Community of Patients for Research (ComPaRe) is a proof-of-concept COOP’ e-cohort in the field of chronic conditions that was launched in 2017. As of April 2020, 36,000 patients have joined the project and contributed to more than 4 million data points. Patient-reported data will be enriched by linkage with the French national health system databases and with hospital data for patients receiving care in the Paris region. Since 2017, 150 researchers have used the platform for research projects. Three clinical trials nested in ComPaRe have been funded. Conclusion By moving from myriad independent studies to a large collaborative infrastructure of research, COOP’ e-cohorts will accelerate the research process by avoiding the redundancy of many steps common to all research projects and by limiting waste of research.
- Subjects :
- Adult
medicine.medical_specialty
Knowledge management
Open platform
Databases, Factual
Epidemiology
Computer science
Factual epidemiologic methods
Computer-assisted web interviewing
03 medical and health sciences
Databases
0302 clinical medicine
medicine
Humans
030212 general & internal medicine
ComputingMilieux_MISCELLANEOUS
Data Management
National health
Data collection
business.industry
Research process
3. Good health
Clinical trial
Chronic Disease
Cohort studies
Observational study
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
France
business
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 08954356
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Epidemiology, Journal of Clinical Epidemiology, Elsevier, 2020, 124, pp.139-148. ⟨10.1016/j.jclinepi.2020.04.021⟩
- Accession number :
- edsair.doi.dedup.....80262b17dc7cbe54bff64aa21812d9f6
- Full Text :
- https://doi.org/10.1016/j.jclinepi.2020.04.021⟩