Efficiency of eSource Direct Data Capture in Investigator-Initiated Clinical Trials in Oncology.

Autor:	Yaegashi, Hiroko^1,2 (AUTHOR), Hayashi, Yukikazu^1,2 (AUTHOR), Takeda, Makoto² (AUTHOR), Chiu, Shih-Wei^1,3 (AUTHOR), Nakayama, Haruhiko^4,5 (AUTHOR), Ito, Hiroyuki⁵ (AUTHOR), Takano, Atsushi^6,7 (AUTHOR), Tsuboi, Masahiro⁸ (AUTHOR), Teramoto, Koji⁷ (AUTHOR), Suzuki, Hiroyuki⁹ (AUTHOR), Kato, Tatsuya¹⁰ (AUTHOR), Yasui, Hiroshi⁶ (AUTHOR), Nagamura, Fumitaka⁶ (AUTHOR), Daigo, Yataro⁶ (AUTHOR), Yamaguchi, Takuhiro^1,3 (AUTHOR) yamaguchi@med.tohoku.ac.jp
Předmět:	Documentation Computer software Database management Content mining Electronic health records Data quality Human services programs Diffusion of innovations Academic medical centers Clinical trials Cancer patient medical care Simulation methods in education
Zdroj:	Therapeutic Innovation & Regulatory Science. Nov2024, Vol. 58 Issue 6, p1031-1041. 11p.
Abstrakt:	Background: Clinical trials have become larger and more complex. Thus, eSource should be used to enhance efficiency. This study aimed to evaluate the impact of the multisite implementation of eSource direct data capture (DDC), which we define as eCRFs for direct data entry in this study, on efficiency by analyzing data from a single investigator-initiated clinical trial in oncology. Methods: Operational data associated with the targeted study conducted in Japan was used to analyze time from data occurrence to data entry and data finalization, and number of visits to the site and time spent at the site by clinical research associates (CRAs). Additionally, simulations were performed on the change in hours at the clinical sites during the implementation of eSource DDC. Results: No difference in time from data occurrence to data entry was observed between the DDC and the transcribed data fields. However, the DDC fields could be finalized 4 days earlier than the non-DDC fields. Additionally, although no difference was observed in the number of visits for source data verification (SDV) by CRAs, a comparison among sites that introduced eSource DDC and those that did not showed that the time spent at the site for SDV was reduced. Furthermore, the simulation results indicated that even a small amount of data to be collected or a small percentage of DDC-capable items may lead to greater efficiency when the number of subjects per site is significant. Conclusions: The implementation of eSource DDC may enhance efficiency depending on the study framework and type and number of items to be collected. [ABSTRACT FROM AUTHOR]
Databáze:	Library, Information Science & Technology Abstracts
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