Summary
This paper documents the first-year operational outcomes of the Trial Innovation Network (TIN), a collaborative initiative sponsored by the National Center for Advancing Translational Science to address longstanding inefficiencies in the United States' clinical research infrastructure. The TIN implemented novel systems including a national centralised Institutional Review Board, master contracting agreements, quality-by-design methodologies, and evidence-based recruitment strategies across 3 Trial Innovation Centers and CTSA-affiliated institutions. Early results demonstrate substantial uptake, with 113 project submissions from 47 institutions spanning 12 different NIH institutes and involving over 150 health systems, positioning the network to generate data on efficiency and quality improvements in multisite clinical trials.
UK applicability
Whilst this paper focuses on the United States' NIH-sponsored infrastructure, the TIN's approaches to streamlining institutional review processes, establishing master contracts, and improving recruitment efficiency may offer insights relevant to UK clinical research governance and NHS trial coordination. However, direct applicability would require adaptation to the UK's regulatory framework (REC system) and NHS structures.
Key measures
Number of institutional submissions (113); participating CTSA institutions (39); non-CTSA institutions (8); NIH Institutes and Centers represented (12); unique health systems/organisations involved (150+); clinical/disease areas covered; centralised IRB system implementation; master contracting agreements; recruitment innovation metrics
Outcomes reported
The study reports on the Trial Innovation Network's first-year operations, documenting submissions received (113 from 39 CTSA and 8 non-CTSA institutions), involvement of over 150 health systems/organisations across multisite studies, and the implementation of infrastructure improvements (centralised IRB, master contracts, quality-by-design approaches). The paper measures early adoption metrics and operational efficiency improvements across the national clinical research infrastructure.
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