ArticleJMIR mHealth and uHealth2022
Integrating Behavioral Science and Design Thinking to Develop Mobile Health Interventions: Systematic Scoping Review.
Article in JMIR mHealth and uHealth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.
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Who cites it
54 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Smartphone application-based interventions for cardiometabolic risk factor management: A systematic review and meta-analysis.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Pooled it
- Design Features Associated With Engagement in Mobile Health Physical Activity Interventions Among Youth: Systematic Review of Qualitative and Quantitative Studies.JMIR mHealth and uHealth · 2023Pooled it
- Trial
- Health service delivery and disease management across Ethiopian health care facilities: An evidence-based analysis of tuberculosis program performance and system determinants.Dialogues in health · 2026Article
- Integrating behavioural science and design thinking to develop a water treatment innovation in Malawi healthcare: a case study of the intervention design process.Global health action · 2026Article
- Development of a Data-Enabled Mixed Method for Designing for Patients From a Human-Centered Design Perspective: Explorative Case Study.JMIR human factors · 2026Article
- The MILEPOST Framework for Integrating mHealth Into Community-Driven Interventions: Lessons Learned From a Human-Centered Design Approach in Rural Uganda.Global health, science and practice · 2026Article
- Mobile Phone Access, Usage Patterns, and Perceptions of Adolescents Living With HIV on the Use of Gamified Interventions to Improve Antiretroviral Therapy Adherence in Eswatini: Qualitative Study.JMIR mHealth and uHealth · 2026Article
- Digital and Blended Lifestyle Interventions for Preschool-Aged Children and Families With a Low Socioeconomic Position and the General Population: Scoping Review.Journal of medical Internet research · 2026Article
- Anticipated barriers and facilitators of implementing a digital behavioral treatment for chronic pain: a qualitative interview study.BMC health services research · 2026Article
- Blockchain-Based Mobile App for Digital Identification of Older Adults in Rural Peru: Design and Usability Evaluation Study.JMIR rehabilitation and assistive technologies · 2026Article
- Article
- User experiences of the mobile stress autism mate (SAM) application: a qualitative study among autistic adults not receiving mental health care.Health psychology and behavioral medicine · 2026Article
- Clinical validation of a frailty management mHealth tool in a cohort of community-dwelling older adults: the Geras Fit-Frailty App.BMJ open · 2025Article
- Article
- The application of design thinking in physical activity research: a protocol for a scoping review.Systematic reviews · 2025Article
- Time for Clarity in Exploring the Evidence and Key Concepts of Human-Centered Design in Digital Health Care: Protocol for a Scoping Review.JMIR research protocols · 2025Article
- Designing Patient-Friendly Messages: Tutorial on Applying Human-Centered, Self-Determination Theory With AI Considerations.Journal of medical Internet research · 2025Article
- Application of Behavioral Science in Digital Therapeutics for Individuals With Prediabetes: Scoping Review.Journal of medical Internet research · 2025Article
- Impact of the ABxSG Mobile Application on Antibiotic Prescribing: An Interrupted Time Series Study.Antibiotics (Basel, Switzerland) · 2025Article
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Abstract
backgroundMobile health (mHealth) interventions are increasingly being designed to facilitate health-related behavior change. Integrating insights from behavioral science and design science can help support the development of more effective mHealth interventions. Behavioral Design (BD) and Design Thinking (DT) have emerged as best practice approaches in their respective fields. Until now, little work has been done to examine how BD and DT can be integrated throughout the mHealth design process.
objectiveThe aim of this scoping review was to map the evidence on how insights from BD and DT can be integrated to guide the design of mHealth interventions. The following questions were addressed: (1) what are the main characteristics of studies that integrate BD and DT during the mHealth design process? (2) what theories, models, and frameworks do design teams use during the mHealth design process? (3) what methods do design teams use to integrate BD and DT during the mHealth design process? and (4) what are key design challenges, implementation considerations, and future directions for integrating BD and DT during mHealth design?
methodsThis review followed the Joanna Briggs Institute reviewer manual and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) checklist. Studies were identified from MEDLINE, PsycINFO, Embase, CINAHL, and JMIR by using search terms related to mHealth, BD, and DT. Included studies had to clearly describe their mHealth design process and how behavior change theories, models, frameworks, or techniques were incorporated. Two independent reviewers screened the studies for inclusion and completed the data extraction. A descriptive analysis was conducted.
resultsA total of 75 papers met the inclusion criteria. All studies were published between 2012 and 2021. Studies integrated BD and DT in notable ways, which can be referred to as "Behavioral Design Thinking." Five steps were followed in Behavioral Design Thinking: (1) empathize with users and their behavior change needs, (2) define user and behavior change requirements, (3) ideate user-centered features and behavior change content, (4) prototype a user-centered solution that supports behavior change, and (5) test the solution against users' needs and for its behavior change potential. The key challenges experienced during mHealth design included meaningfully engaging patient and public partners in the design process, translating evidence-based behavior change techniques into actual mHealth features, and planning for how to integrate the mHealth intervention into existing clinical systems.
conclusionsBest practices from BD and DT can be integrated throughout the mHealth design process to ensure that mHealth interventions are purposefully developed to effectively engage users. Although this scoping review clarified how insights from BD and DT can be integrated during mHealth design, future research is needed to identify the most effective design approaches.
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