SynthesisTranslational behavioral medicine2021
Systematic review of context-aware digital behavior change interventions to improve health.
Synthesis in Translational behavioral medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 7 syntheses or guidelines pooled it, 89 citations in OpenAlex.
- Application of Just-in-Time Adaptive Interventions in Dietary Health Management: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Behavioral Determinants and Effectiveness of Digital Behavior Change Interventions for the Prevention of Sexually Transmitted Infections and HIV: Overview of Systematic Reviews.Journal of medical Internet research · 2026Pooled it
- Sedentary behaviour interventions in rheumatoid arthritis and osteoarthritis: a systematic scoping review of intervention content, perceived acceptability and efficacy.BMC rheumatology · 2025Pooled it
- Interventions to reduce social isolation and food insecurity in older adults: a systematic review.Frontiers in nutrition · 2025Pooled it
- Contextual factors associated with walking performance after stroke: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Effective Behavior Change Techniques in Digital Health Interventions for the Prevention or Management of Noncommunicable Diseases: An Umbrella Review.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2023Pooled it
- mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Action Planning for Reducing Sugar-Sweetened Beverage Intake in Appalachian Adults: Longitudinal Process Evaluation of a Digital Behavioral Health Intervention.JMIR mHealth and uHealth · 2026Trial
- Behavioral Mechanisms of a Digital Health Intervention for Self-Management in Type 2 Diabetes Mellitus: Prospective Longitudinal Cohort Study.JMIR mHealth and uHealth · 2026Article
- Designing for Autonomous Motivation: Qualitative Interview Study on Pre-Enrollment Preferences of Survivors of Cancer for Digital Health Behavior Change Programs.Journal of medical Internet research · 2026Article
- Mapping behavior change techniques and health data combinations in virtual agents for chronic condition management: A systematic scoping review.PLOS digital health · 2026Article
- Cost-effectiveness of digital health interventions for supporting mental health of children and young people: a rapid review and narrative synthesis.European child & adolescent psychiatry · 2026Review
- Systematic review of dynamically tailored eHealth interventions targeting physical activity and healthy diet in chronic disease.NPJ digital medicine · 2025Article
- Optimizing Intervention Components of a Preventive Stress Management mHealth Intervention for Health Care Workers: Experimental Factorial Study.JMIR formative research · 2025Article
- Exploring the Acceptance of Just-in-Time Adaptive Lifestyle Support for People With Type 2 Diabetes: Qualitative Acceptability Study.JMIR formative research · 2025Article
- Progressing implementation of behavior change frameworks for digital health interventions: challenges and ways forward.Translational behavioral medicine · 2025Article
- What you need to know about the world. Toward a taxonomy of planetary health knowledge.Frontiers in public health · 2025Article
- Designing digital health interventions with causal inference and multi-armed bandits: a review.Frontiers in digital health · 2025Review
- Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview.Journal of medical Internet research · 2024Article
- Provision of Digital Primary Health Care Services: Overview of Reviews.Journal of medical Internet research · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Health risk behaviors are leading contributors to morbidity, premature mortality associated with chronic diseases, and escalating health costs. However, traditional interventions to change health behaviors often have modest effects, and limited applicability and scale. To better support health improvement goals across the care continuum, new approaches incorporating various smart technologies are being utilized to create more individualized digital behavior change interventions (DBCIs). The purpose of this study is to identify context-aware DBCIs that provide individualized interventions to improve health. A systematic review of published literature (2013-2020) was conducted from multiple databases and manual searches. All included DBCIs were context-aware, automated digital health technologies, whereby user input, activity, or location influenced the intervention. Included studies addressed explicit health behaviors and reported data of behavior change outcomes. Data extracted from studies included study design, type of intervention, including its functions and technologies used, behavior change techniques, and target health behavior and outcomes data. Thirty-three articles were included, comprising mobile health (mHealth) applications, Internet of Things wearables/sensors, and internet-based web applications. The most frequently adopted behavior change techniques were in the groupings of feedback and monitoring, shaping knowledge, associations, and goals and planning. Technologies used to apply these in a context-aware, automated fashion included analytic and artificial intelligence (e.g., machine learning and symbolic reasoning) methods requiring various degrees of access to data. Studies demonstrated improvements in physical activity, dietary behaviors, medication adherence, and sun protection practices. Context-aware DBCIs effectively supported behavior change to improve users' health behaviors.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.