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The process of installing REDCap, a web based database supporting biomedical research: the first year.
M Klipin1, I Mare2, S Hazelhurst3
1Department of Surgery, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, Republic of South Africa.
Applied Clinical Informatics
|January 16, 2015
Summary
Implementing REDCap (Research Electronic Data Capture) at the University of the Witwatersrand was cost-effective, requiring minimal IT support. Training significantly boosted user adoption and project development, demonstrating REDCap
Area of Science:
- Health Informatics
- Clinical Research Management
- Data Curation Technologies
Background:
- Clinical and research data management is crucial for patient care and healthcare planning.
- REDCap (Research Electronic Data Capture) is a web-based data curation tool developed at Vanderbilt University.
- The University of the Witwatersrand required a cost-effective data management solution and installed REDCap in August 2012.
Purpose of the Study:
- To describe the installation and support of REDCap at an institution with limited IT capacity.
- To analyze user uptake of REDCap during its first year of implementation.
- To provide insights for other institutions considering REDCap adoption.
Main Methods:
- Reviewed staffing, installation costs, infrastructure, and user requests for REDCap.
- Consulted with legal and ethics committees regarding the REDCap user agreement.
- Analyzed user numbers and project records before and after a training workshop.
Main Results:
- REDCap installation costs were under $9000, utilizing existing staff.
- Eighty-one users registered in the first year; post-training, user numbers increased by 59 in one month, reaching 140 active users.
- Custom REDCap applications were developed through collaboration between clinicians and developers.
Conclusions:
- REDCap was successfully installed and maintained at a limited cost.
- A small, skilled support team can manage multiple REDCap users efficiently.
- End-user training demonstrably increased user numbers, project creation, and production-level projects.
Keywords:
Database management systemsclinical researchelectronic data capturemedical informaticstranslational research
