Evidence map›Paper›PMID 31833836›Full record

ArticleJMIR mHealth and uHealth2019

Digital Health Behavior Change Technology: Bibliometric and Scoping Review of Two Decades of Research.

Fawad Taj, Michel C A Klein, Aart van Halteren

Registry-linked trialAbstract readHistorical ArticleScoping Review
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT06616467 naactive not recruitingnot on this mapstarted 2024, after this paper: background citation

Cognitive-Behavioral Intervention Targeting Mothers to Increase Tummy Time Practice and Maintain Healthy Weight in Infants

TypeinterventionalSponsorUniversidad Autonoma de Nuevo LeonRan2024 to 2025Enrolled144ConditionsObesity/therapy, Prevention and ControlArmsTummy Time for the prevention of childhood obesity
3 · Its place in the literature

Who cites it

85 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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 · 2025
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Digital behaviour change interventions to increase vegetable intake in adults: a systematic review.The international journal of behavioral nutrition and physical activity · 2023
    Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Sticky apps, not sticky hands: A systematic review and content synthesis of hand hygiene mobile apps.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

25 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Fawad TajVrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0001-9049-1736
Michel C A KleinVrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0003-4119-1846
Aart van HalterenVrije Universiteit Amsterdam, Amsterdam, Netherlands.ORCID 0000-0002-9631-0657

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AustraliaBehavior TherapyBibliometricsDiet, HealthyEuropeExerciseHealth BehaviorHistory, 21st CenturyHumansInterdisciplinary CommunicationKnowledgePersuasive CommunicationPublicationsSelf-ManagementSmartphoneTechnologybehavior change support systemsbehavior change systemsbibliometric analysisdigital health behaviorpersuasive technologyscoping review

Identifiers

PMID31833836
PMCPMC6935048

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.