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

Abstract

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
Pages82-88
Number of pages7
ISBN (Print)9781607507086
DOIs
StatePublished - 2011
Externally publishedYes

Publication series

NameStudies in Health Technology and Informatics
Volume164
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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