Abstract
Background: Researchers, practitioners and policymakers develop interventions to change behavior based on their understanding of how behavior change techniques (BCTs) impact the determinants of behavior. A transparent, systematic and accessible method of linking BCTs with the processes through which they change behavior (i.e. their mechanisms of action (MoAs)) would advance understanding of intervention effects, and improve theory and intervention development.
Purpose: To triangulate evidence for hypothesized BCT-MoA links obtained in two previous studies and present the results in an interactive, online tool.
Methods: Two previous studies generated evidence on links between 56 BCTs and 26 MoAs based on their frequency in literature synthesis and on expert consensus. Concordance between the findings of the two studies was examined using multilevel modelling. Uncertainties and differences between the two studies were reconciled by 16 behavior change experts using consensus development methods. The resulting evidence was used to generate an online tool.
Results: The two studies showed concordance for 25 of the 26 MoAs and agreement for 37 links and for 460 ‘non-links’. A further 55 links were resolved by consensus (total of 92 (37+55) hypothesized BCT-MoA links). Full data on 1456 possible links was incorporated into the online interactive Theory and Technique Tool (url link removed for anonymity peer-review).
Conclusions: This triangulation of two distinct sources of evidence provides guidance on how BCTs may affect the mechanisms that change behavior and is available as a resource for behavior change intervention designers, researchers and theorists, supporting intervention design, research synthesis, and collaborative research.
Purpose: To triangulate evidence for hypothesized BCT-MoA links obtained in two previous studies and present the results in an interactive, online tool.
Methods: Two previous studies generated evidence on links between 56 BCTs and 26 MoAs based on their frequency in literature synthesis and on expert consensus. Concordance between the findings of the two studies was examined using multilevel modelling. Uncertainties and differences between the two studies were reconciled by 16 behavior change experts using consensus development methods. The resulting evidence was used to generate an online tool.
Results: The two studies showed concordance for 25 of the 26 MoAs and agreement for 37 links and for 460 ‘non-links’. A further 55 links were resolved by consensus (total of 92 (37+55) hypothesized BCT-MoA links). Full data on 1456 possible links was incorporated into the online interactive Theory and Technique Tool (url link removed for anonymity peer-review).
Conclusions: This triangulation of two distinct sources of evidence provides guidance on how BCTs may affect the mechanisms that change behavior and is available as a resource for behavior change intervention designers, researchers and theorists, supporting intervention design, research synthesis, and collaborative research.
Original language | English |
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Pages (from-to) | 1049-1065 |
Number of pages | 17 |
Journal | Translational Behavioral Medicine |
Volume | 11 |
Issue number | 5 |
Early online date | 4 Aug 2020 |
DOIs | |
Publication status | Published - May 2021 |
Bibliographical note
Acknowledgements: We are grateful to the behavior change experts who contributed to these studies. Support for the preparation of this manuscript was also funded by T32 HL076134 and U54GM115677 (Connell Bohlen). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.Funding and acknowledgements: This research is funded by UK Medical Research Council grant number MR/L011115/1. Support for the preparation of this manuscript was also funded by T32 HL076134 and U54GM115677 (Connell Bohlen). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. We would particularly like to thank the 16 experts in behavior change who have committed their time and offered their expertise for the reconciliation study. We are also very grateful to all those authors who made explicit links between BCTs and MoAs in their publications of interventions, and to the experts who participated in (removed for anonymity)’s study (11). We would also like to give a special thanks to Holly Walton who assisted in preparing the study data for the Theory and Technique Tool.
Keywords
- online tool
- behavior change technique
- mechanism of action
- literature synthesis
- expert consensus
- triangulation