Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies.
BACKGROUND: New data management models are emerging in multi-center clinical studies. We evaluated the incremental costs associated with decentralized vs. centralized models. METHODS: We developed clinical research network economic models to evaluate three data management models: centralized, decentralized with local software, and decentralized with shared database. Descriptive information from three clinical research studies served as inputs for these models. MAIN OUTCOME MEASURES: The primary outcome was total data management costs. Secondary outcomes included: data management costs for sites, local data centers, and central coordinating centers. RESULTS: Both decentralized models were more costly than the centralized model for each clinical research study: the decentralized with local software model was the most expensive. Decreasing the number of local data centers and case book pages reduced cost differentials between models. CONCLUSION: Decentralized vs. centralized data management in multi-center clinical research studies is associated with increases in data management costs.
Duke Scholars
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Related Subject Headings
- Models, Organizational
- Medical Informatics
- Information Management
- Hospital Information Systems
- Costs and Cost Analysis
- 1117 Public Health and Health Services
- 0807 Library and Information Studies
Citation
Published In
ISSN
Publication Date
Volume
Start / End Page
Location
Related Subject Headings
- Models, Organizational
- Medical Informatics
- Information Management
- Hospital Information Systems
- Costs and Cost Analysis
- 1117 Public Health and Health Services
- 0807 Library and Information Studies