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CC BY 4.0 · Yearb Med Inform 2024; 33(01): 025-031
DOI: 10.1055/s-0044-1800715
Special Section: Digital Health for Precision in Prevention
Working Group Contributions

Behavioral Components and Their Tailoring in Participatory Health Interventions for Precision Prevention

Kerstin Denecke
1   Bern University of Applied Sciences, Bern, Switzerland
,
Octavio Rivera Romero
2   Department of Electronic Technology, Universidad de Sevilla, Sevilla, Spain
,
Carlos Luis Sanchez Bocanegra
3   Faculty of Health Sciences, Universitat Oberta de Catalunya (UOC), Spain
,
Talya Miron-Shatz
4   Faculty of Business Administration, Ono Academic College, Kiryat Ono, Israel
,
Rolf Wynn
5   Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
6   Department of Education, ICT and Learning, Østfold University College, Halden, Norway
,
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Summary

Objective: To study which behavioral components are implemented within participatory health interventions for precision prevention, specifically how they are realized as part of the interventions and how the tailoring of the interventions is implemented.

Methods: We selected three case studies of participatory health interventions for precision prevention for three different target groups (children, parents, older adults with chronic conditions). One author with a background in psychology mapped the interventions and the digital functionalities to the 9 intervention functions of the behavioral change wheel (education, persuasion, incentivisation, coercion, training, enablement, modeling, environmental restructuring, restrictions).

Results: While the intervention functions persuasion, incentivisation, education, modeling and coercion are implemented in all three interventions under considerations, two techniques (restrictions, and environmental restructuring) were not implemented in any of the three solutions. Training was only applied in one application and enablement in two interventions. We identified significant evidence gaps in both the tailoring process and the effectiveness of behavior change techniques in precision prevention.

Conclusion: We conclude that there is a need for more focused studies on the effects of behavior interventions functions in digital health interventions and for design guidelines to improve these interventions for personalized health outcomes, thereby advancing precision prevention in digital health.

Keywords

Participatory health informatics - behavior change - precision prevention - digital health intervention


Publikationsverlauf

Artikel online veröffentlicht:
08. April 2025

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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