Development of an implementation science informed “Test Evidence Transition” program to improve cancer outcomes
Kate E. Hamilton-West, Alexandra Feast, Natalie A. Masento, Brian Knowles, Claire Sloan, Luke Weaver

TL;DR
This paper introduces a program designed to speed up the adoption of cancer research into clinical practice, aiming to improve cancer outcomes by bridging the implementation gap.
Contribution
The paper presents a novel program combining implementation science with health system collaboration to accelerate the adoption of evidence-based cancer care innovations.
Findings
The TET program was developed to test, evaluate, and transition evidence-based innovations into cancer care pathways.
Phase 1 focused on breast and prostate cancer diagnosis innovations, with Phase 2 now targeting colorectal cancer.
Peer-reviewed project proposals were supported by academic and health system partners to ensure effective implementation.
Abstract
Translation of cancer research into practice takes around 15 years. Programs informed by implementation science methods and frameworks offer potential to improve cancer outcomes by addressing the implementation gap. We describe the development of a Test Evidence Transition (TET) program which provides funding and support to health system delivery teams and project design and evaluation partners working together to achieve three objectives: Test innovations to support optimal cancer pathways that transform clinical practice; Evidence the process, outcome, and impact of implementation; and work with strategic partners to ensure the Transition of best practice into effective and equitable adoption across UK health systems. Phase 1 launched in April 2023. Teams with the capability and motivation to implement evidence-based pathway innovations were identified and invited to submit…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsHealth Policy Implementation Science · Health Systems, Economic Evaluations, Quality of Life · Health Sciences Research and Education
