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Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review.
Lin Yang1,2,3, Angela Kuang4, Claire Xu4
1Department of Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada.
This review identifies best practices for mobile health (mHealth) interventions. It focuses on personalization, real-time functions, and resources for diet, physical activity, and sedentary behavior change.
Area of Science:
- Digital Health
- Behavioral Science
- Public Health Interventions
Background:
- Mobile health (mHealth) is increasingly used for disease prevention and self-management.
- mHealth tools offer personalized, real-time recommendations via dialogue systems.
- Systematic evaluation of mHealth design principles is lacking.
Purpose of the Study:
- Identify best practices for mHealth intervention design.
- Focus on personalization, real-time functions, and deliverable resources.
- Target interventions for diet, physical activity, and sedentary behavior.
Main Methods:
- Systematic literature search (MEDLINE, CINAHL, Embase, PsycINFO, Web of Science) since 2010.
- Keywords combine mHealth, interventions, chronic disease, self-management, diet, physical activity, sedentary behavior, personalization, and real-time functions.
- Narrative synthesis of findings; Risk of Bias 2 tool for quality assessment.
Main Results:
- Preliminary search identified reviews on mHealth efficacy and methodologies.
- Existing reviews lack synthesis on unique mHealth intervention design features.
- No systematic evaluations of design principles for personalized, real-time mHealth interventions found.
Conclusions:
- Findings will inform best practices for mHealth tool design.
- Aims to support sustainable behavior change through optimized mHealth interventions.
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