Denecke Kerstin, Romero Octavio Rivera, Bocanegra Carlos Luis Sanchez, Miron-Shatz Talya, Wynn Rolf
Bern University of Applied Sciences, Bern, Switzerland.
Department of Electronic Technology, Universidad de Sevilla, Sevilla, Spain.
Yearb Med Inform. 2024 Aug;33(1):25-31. doi: 10.1055/s-0044-1800715. Epub 2025 Apr 8.
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.
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).
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.
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.
研究在精准预防的参与式健康干预中实施了哪些行为成分，具体而言，它们如何作为干预措施的一部分得以实现，以及干预措施的个性化定制是如何实施的。
我们针对三个不同目标群体（儿童、家长、患有慢性病的老年人）选取了三项精准预防的参与式健康干预案例研究。一位具有心理学背景的作者将这些干预措施和数字功能映射到行为改变轮的9种干预功能（教育、劝服、激励、强制、培训、赋能、示范、环境重构、限制）上。
虽然在所考虑的所有三项干预措施中都实施了劝服、激励、教育、示范和强制等干预功能，但在这三种解决方案中均未实施两种技术（限制和环境重构）。培训仅在一项应用中使用，赋能在两项干预措施中使用。我们发现在精准预防的个性化定制过程和行为改变技术的有效性方面都存在显著的证据差距。
我们得出结论，需要对数字健康干预中行为干预功能的效果进行更有针对性的研究，并制定设计指南以改进这些干预措施以实现个性化健康结果，从而推动数字健康中的精准预防。
