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Published on: September 20, 2019
Conducting multicenter trials through the trial innovation network comprehensive consultation
Daniel F Hanley1, Karen Lane2, Nichol McBee2
1Department of Neurology, BIOS Clinical Trial Coordinating Center, Trial Innovation Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Johns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, USA.
The Trial Innovation Network
Area of Science:
- Clinical Trials
- Translational Science
- Research Operations
Background:
- Multicenter clinical trials are essential for advancing patient care but face significant design and execution challenges.
- Investigator-initiated trials require robust support to ensure feasibility and success.
- The Clinical and Translational Science Award (CTSA) network comprises over 60 institutions.
Purpose of the Study:
- To evaluate the effectiveness of the Trial Innovation Network's (TIN) Comprehensive Consultation process.
- To assess the impact of structured, multidisciplinary support on the success of investigator-initiated multicenter clinical trial proposals.
- To demonstrate a scalable model for enhancing clinical research translation.
Main Methods:
- The study analyzed 75 trial proposals that received Comprehensive Consultation between 2016 and 2024.
- The consultation process utilized a phased Assess-Design-Compose model.
- Expertise integrated included trial design, operations, recruitment, and informatics.
Main Results:
- 66% of grant applications submitted after Comprehensive Consultation received funding.
- The consultation process facilitated the generation of robust and fundable grant applications.
- The TIN Comprehensive Consultation model proved effective in improving trial proposal quality.
Conclusions:
- The TIN Comprehensive Consultation process significantly enhances the rigor, efficiency, and success rate of multicenter clinical trials.
- This structured support model offers a scalable and high-impact approach for improving clinical research translation.
- The framework serves as a valuable model for national and global research networks.
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