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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Apr 28, 2022
Date Accepted: Nov 18, 2022

The final, peer-reviewed published version of this preprint can be found here:

Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review

Yang L, Kuang A, Xu C, Shewchuk B, Singh S, Quan H, Zeng Y

Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review

JMIR Res Protoc 2023;12:e39093

DOI: 10.2196/39093

PMID: 36811938

PMCID: 9996417

Design principles in mHealth interventions for sustainable health behaviour changes: A systematic review protocol

  • Lin Yang; 
  • Angela Kuang; 
  • Claire Xu; 
  • Brittany Shewchuk; 
  • Shaminder Singh; 
  • Hude Quan; 
  • Yong Zeng

ABSTRACT

Background:

In recent years, mHealth has increasingly been used to deliver behavioural intervention for disease prevention and self-management. Computing power in mHealth tools can provide unique functions beyond conventional interventions in provisioning personalized behaviour change recommendations and delivering them in real-time supported by dialogue systems. However, mHealth interventions may deliver behaviour change techniques as the end-product, while conventional interventions may be able to deliver social support and direct access to facilities.

Objective:

The goal of this review is to identify best practices for the design of mHealth interventions targeting diet, physical activity, and sedentary behaviour. We aim to identify and summarize the design characteristics of current mHealth tools with a focus on the following features: 1) personalization, 2) real-time function, and 3) deliverable resources.

Methods:

We will conduct a systematic search in electronic databases (MEDLINE, CINAHL, Embase, PsychINFO, and Web of Science) for studies published since 2010. First, we will use key terms combining mHealth, interventions, chronic disease prevention, and self-management. Secondly, we will use key terms covering diet, physical activity, and sedentary behaviour. Literature resulting from the first and second steps will be combined. Finally, we will use key terms for personalization and real-time function, respectively, to limit the results to interventions that have reported these design features. We expect to perform narrative syntheses for each of the three target design features. Study quality will be evaluated using the Risk of Bias 2 (RoB2) assessment tool.

Results:

We have conducted a preliminary search of existing systematic reviews and review protocols on mHealth supported behaviour change interventions in the literature. We identified several reviews aiming to evaluate the efficacy of mHealth behaviour change interventions in a range of populations, methodologies used to assess mHealth behaviour change randomized trials, and the diversity of behaviour change techniques and theories in mHealth interventions. However, syntheses on unique features in mHealth intervention design are absent.

Conclusions:

Our findings will provide a basis for developing best practices for designing mHealth tools for sustainable behavioural change. Clinical Trial: N/A


 Citation

Please cite as:

Yang L, Kuang A, Xu C, Shewchuk B, Singh S, Quan H, Zeng Y

Design Principles in mHealth Interventions for Sustainable Health Behavior Changes: Protocol for a Systematic Review

JMIR Res Protoc 2023;12:e39093

DOI: 10.2196/39093

PMID: 36811938

PMCID: 9996417

Per the author's request the PDF is not available.

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