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

doi:10.3233/978-1-60750-709-3-82

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 proceeding › Conference 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 language	English (US)
Title of host publication	International Perspectives in Health Informatics
Publisher	IOS Press
Pages	82-88
Number of pages	7
ISBN (Print)	9781607507086
DOIs	https://doi.org/10.3233/978-1-60750-709-3-82
State	Published - 2011
Externally published	Yes

Publication series

Name	Studies in Health Technology and Informatics
Volume	164
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

Access to Document

10.3233/978-1-60750-709-3-82

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Walden, A., Nahm, M., Barnett, M. E., Conde, J. G., Dent, A., Fadiel, A., Perry, T., Tolk, C., Tcheng, J. E., & Eisenstein, E. L. (2011). Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies. In International Perspectives in Health Informatics (pp. 82-88). (Studies in Health Technology and Informatics; Vol. 164). IOS Press. https://doi.org/10.3233/978-1-60750-709-3-82

Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies. / Walden, Anita; Nahm, Meredith; Barnett, M. Edwina; Conde, Jose G.; Dent, Andrew; Fadiel, Ahmed; Perry, Theresa; Tolk, Chris; Tcheng, James E.; Eisenstein, Eric L.

International Perspectives in Health Informatics. IOS Press, 2011. p. 82-88 (Studies in Health Technology and Informatics; Vol. 164).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Walden, A, Nahm, M, Barnett, ME, Conde, JG, Dent, A, Fadiel, A, Perry, T, Tolk, C, Tcheng, JE & Eisenstein, EL 2011, Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies. in International Perspectives in Health Informatics. Studies in Health Technology and Informatics, vol. 164, IOS Press, pp. 82-88. https://doi.org/10.3233/978-1-60750-709-3-82

Walden, Anita ; Nahm, Meredith ; Barnett, M. Edwina ; Conde, Jose G. ; Dent, Andrew ; Fadiel, Ahmed ; Perry, Theresa ; Tolk, Chris ; Tcheng, James E. ; Eisenstein, Eric L. / Economic analysis of centralized vs. decentralized electronic data capture in multi-center clinical studies. International Perspectives in Health Informatics. IOS Press, 2011. pp. 82-88 (Studies in Health Technology and Informatics).

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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.",

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AB - 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.

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