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Updated: Sep 6, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Linking measures to mechanisms of action: An expert opinion study
Talea Cornelius1, Lilly Derby1, Lauren Connell Bohlen2
1Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, New York, USA.
Objective:
This study sought to integrate the NIH Science of Behaviour Change (SOBC) measures repository comprising measures of putative mechanisms with mechanisms of action (MoA) identified by the Human Behaviour-Change Project (HBCP).
Design:
Participants were 30 international experts recruited from professional networks and societies. In three anonymous virtual rounds, experts established consensus on hypothesized links between 26 MoAs and 44 self-report measures.
Methods:
In Round 1, experts completed a survey rating agreement with 84 pre-identified measure-MoA links and suggested new links. In Round 2, experts discussed 10 links in an online forum, including pre-identified links with <50% agreement and new links suggested by 20-50% of experts. In Round 3, experts completed a survey rating all links eligible for discussion in Round 2.
Results:
Twenty-seven experts completed Round 1, 23 completed Round 2 and 18 completed Round 3. In Round 1, 82 of 84 pre-identified links reached >50% agreement and 14 new links were suggested by >50% of experts. In Round 2, experts discussed measure-MoA links and measurement quality. In Round 3, 71 of 96 links reached ≥50% agreement. A total of 167 links reached >50% expert agreement, 33 of which reached ≥90% agreement.
Conclusion:
By identifying putative mechanisms (HBCP) for the 44 self-report measures (SOBC), this study advances the cumulation of scientific results and interoperability of resources to facilitate process research.
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