Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies

Anita Walden, Meredith Nahm, M. Edwina Barnett, Jose G. Conde, Andrew Dent, Ahmed Fadiel, Theresa Perry, Chris Tolk, James E. Tcheng, Eric L. Eisenstein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations


Background: New data management models are emerging in multicenter 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.

Original languageEnglish (US)
Title of host publicationInternational Perspectives in Health Informatics
PublisherIOS Press
Number of pages7
ISBN (Print)9781607507086
StatePublished - 2011
Externally publishedYes

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


  • Clinical research network
  • Clinical trial
  • Cost analysis
  • Data management

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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