Evidence map›Paper›PMID 41386678›Full record

ArticleTranslational behavioral medicine2025

Progressing implementation of behavior change frameworks for digital health interventions: challenges and ways forward.

Ananya Ananthakrishnan, Cen Cong, Victoria Riccalton, Edward Meinert

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ananya AnanthakrishnanTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0009-0000-0292-3923
Cen CongTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0009-0007-8261-6480
Victoria RiccaltonTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0009-0006-5328-6905
Edward MeinertTranslational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, United Kingdom.ORCID 0000-0003-2484-3347

Funding

NIHR Newcastle Biomedical Research Centre
6 · The paper itself

Abstract

backgroundNew behavior change theories, models, and frameworks (TMFs) to support digital behavior change interventions have been called for and are emerging, but low reported usage impedes progress in the field. AIMS AND

objectivesThis study aims to highlight key barriers to the implementation of digital-focused TMFs and provide recommendations to mitigate these barriers.

methodsThe adoption of seven novel TMFs designed for digital behavior change interventions was analyzed based on the number of citations and the number of interventions developed using the TMFs, in comparison with the longer-established behavior change wheel (BCW) framework.

resultsThe uptake of the novel TMFs appears slow compared to the well-established and commonly used BCW framework, even when accounting for the recentness of the novel TMFs. Potential barriers to adoption include a lack of awareness, insufficient empirical evidence, and challenges in operationalizing these models. Researchers creating these TMFs could mitigate these barriers by improving their design (e.g. by making them more adaptable) and reporting and developing, and testing interventions based on their TMFs to start building an evidence base. CONCLUSIONS AND FUTURE RESEARCH: New TMFs with a focus on digital technologies have the potential to improve the efficacy and outcomes of digital behavior-change interventions, but their accessibility, evidence base, and reporting must improve to facilitate their adoption in intervention design. Further review work comparing the novel TMFs with traditional frameworks and a repository to guide researchers in framework selection could also help with faster uptake.

Indexed as

Behavior TherapyDigital TechnologyHealth BehaviorDigital HealthHumansTelemedicinebehavior changedigital behavior change interventionsGraphical abstractGraphical abstractdigital healthhealth behavior

Identifiers

PMID41386678
PMCPMC12700647

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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.