Abstract
Abstract
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.
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.
| Original language | English |
|---|---|
| Pages (from-to) | 98-115 |
| Number of pages | 18 |
| Journal | British Journal of Health Psychology |
| Volume | 28 |
| Issue number | 1 |
| Early online date | 3 Jul 2022 |
| DOIs | |
| Publication status | Published - Feb 2023 |
Bibliographical note
ACKNOWLEDGEMENTSThis work was supported by the National Institutes of Health Science of Behavior Change Program through an award administered by the National Institute on Aging (U24AG052175) and by a Wellcome Trust collaborative award as a part of the Human Behaviour-Change Project: Building the science of behaviour change for complex intervention development (201,524/Z/16/Z). Dr. Cornelius receives support from the National Institutes of Health National Center for Advancing Translational Sciences (KL2 TR001874). Lauren Connell Bohlen was partially supported by Institutional Development Award Number U54GM115677 from the National Institute of General Medical Sciences of the National Institutes of Health, which funds Advance Clinical and Translational Research (Advance-CTR). The content is solely the responsibility of the authors and does not necessarily represent the official view of the NIH.
Data Availability Statement
Data tables with all percent consensus ratings are available in the Appendix S4, and raw data are available upon reasonable request from the first author (TC).Keywords
- behaviour
- behaviour change
- measurement
- mechanism
