ArticleJMIR mHealth and uHealth2019
Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06616467 (Cognitive-Behavioral Intervention Targeting Mothers to Increase Tummy Time Practice and Maintain Healthy Weight in Infants), which is not on this map. Cited by 85 papers, 9 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.
Cognitive-Behavioral Intervention Targeting Mothers to Increase Tummy Time Practice and Maintain Healthy Weight in Infants
Who cites it
85 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Structural biases in digital health intervention and health equity research: a bibliometric knowledge graph analysis (2015-2025).Frontiers in digital health · 2026Pooled it
- What's the 'Secret Sauce'?: A Systematic Review of the Characteristics of Effective Digital Health Behaviour Change Interventions for Children and Adolescents.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025Pooled it
- Developing the Digital Health Communication Maturity Model: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Digital behaviour change interventions to increase vegetable intake in adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2023Pooled it
- Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review.Frontiers in psychology · 2023Pooled it
- Behavior Change Techniques in Digital Health Interventions for Midlife Women: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Smartphone-Based Interventions to Reduce Sedentary Behavior and Promote Physical Activity Using Integrated Dynamic Models: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Effectiveness and Theoretical Foundations of mHealth Apps for Physical Activity, Healthy Eating, and Weight Loss: Protocol for a Systematic Review and Meta-Analysis.JMIR research protocols · 2026Article
- Behavior change beyond intervention: an activity-theoretical perspective on human-centered design of personal health technology.Frontiers in digital health · 2026Article
- Application of Behavioral Science in Digital Therapeutics for Individuals With Prediabetes: Scoping Review.Journal of medical Internet research · 2025Article
- Effects of digital interventions on neuroplasticity and brain function of individuals with developmental disabilities: A systematic review.Internet interventions · 2025Review
- Digital Health Interventions Providing Behavioral Assessment and Goal Prioritization Support: Scoping Review.Journal of medical Internet research · 2025Article
- Article
- Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis.Journal of medical Internet research · 2025Article
- Digital Biomarkers for Parkinson Disease: Bibliometric Analysis and a Scoping Review of Deep Learning for Freezing of Gait.Journal of medical Internet research · 2025Article
- Adapting the Germ Defence Web-Based Intervention to Improve Infection Prevention and Control in Care Homes: Interview Study Among Care Home Staff.JMIR formative research · 2025Article
- Progressing implementation of behavior change frameworks for digital health interventions: challenges and ways forward.Translational behavioral medicine · 2025Article
- Biophilic design, neuroarchitecture and therapeutic home environments: harnessing medicinal properties of intentionally-designed spaces to enhance digital health outcomes.Frontiers in medicine · 2025Article
25 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResearch on digital technology to change health behavior has increased enormously in recent decades. Due to the interdisciplinary nature of this topic, knowledge and technologies from different research areas are required. Up to now, it is not clear how the knowledge from those fields is combined in actual applications. A comprehensive analysis that systematically maps and explores the use of knowledge within this emerging interdisciplinary field is required.
objectiveThis study aims to provide an overview of the research area around the design and development of digital technologies for health behavior change and to explore trends and patterns.
methodsA bibliometric analysis is used to provide an overview of the field, and a scoping review is presented to identify the trends and possible gaps. The study is based on the publications related to persuasive technologies and health behavior change in the last 18 years, as indexed by the Web of Science and Scopus (317 and 314 articles, respectively). In the first part, regional and time-based publishing trends; research fields and keyword co-occurrence networks; influential journals; and collaboration network between influential authors, countries, and institutions are examined. In the second part, the behavioral domains, technological means and theoretical foundations are investigated via a scoping review.
resultsThe literature reviewed shows a clear and emerging trend after 2001 in technology-based behavior change, which grew exponentially after the introduction of the smartphone around 2009. Authors from the United States, Europe, and Australia have the highest number of publications in the field. The three most active research areas are computer science, public and occupational health, and psychology. The keyword "mhealth" was the dominant term and predominantly used together with the term "physical activity" and "ehealth". A total of three strong clusters of coauthors have been found. Nearly half of the total reported papers were published in three journals. The United States, the United Kingdom, and the Netherlands have the highest degree of author collaboration and a strong institutional network. Mobile phones were most often used as a technology platform, regardless of the targeted behavioral domain. Physical activity and healthy eating were the most frequently targeted behavioral domains. Most articles did not report about the behavior change techniques that were applied. Among the reported behavior change techniques, goal setting and self-management were the most frequently reported.
conclusionsCloser cooperation and interaction between behavioral sciences and technological areas is needed, so that theoretical knowledge and new technological advancements are better connected in actual applications. Eventually, this could result in a larger societal impact, an increase of the effectiveness of digital technologies for health behavioral change, and more insight in the relationship between behavioral change strategies and persuasive technologies' effectiveness.
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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 OpenQuestion graph.