Evidence map›Paper›PMID 30664477›Full record

ArticleJMIR research protocols2019

Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework.

Yunlong Wang, Ahmed Fadhil, Jan-Philipp Lange, Harald Reiterer

Abstract read
In one paragraph

Article in JMIR research protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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.

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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Yunlong WangHCI Group, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.ORCID http://orcid.org/0000-0003-0611-0078
Ahmed FadhilDepartment of Information Engineering and Computer Science, University of Trento, Trento, Italy.ORCID http://orcid.org/0000-0001-9129-7740
Jan-Philipp LangeSocial and Health Sciences, Department of Sport Science, University of Konstanz, Konstanz, Germany.ORCID http://orcid.org/0000-0002-6347-8023
Harald ReitererHCI Group, Department of Computer and Information Science, University of Konstanz, Konstanz, Germany.ORCID http://orcid.org/0000-0001-8528-8928

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health interventions (DHIs) have been emerging in the last decade. Due to their interdisciplinary nature, DHIs are guided and influenced by theories (eg, behavioral theories, behavior change technologies, and persuasive technology) from different research communities. However, DHIs are always coded using various taxonomies and reported in insufficient perspectives. This inconsistency and incomprehensiveness will cause difficulty in conducting systematic reviews and sharing contributions among communities. Therefore, based on existing related work, we propose a holistic framework that embeds behavioral theories, behavior change technique taxonomy, and persuasive system design principles. Including four development steps, two toolboxes, and one workflow, our framework aims to guide DHI developers to design, evaluate, and report their work in a formative and comprehensive way.

Indexed as

behavior change techniquebehavior change technique taxonomydigital health interventionspersuasive system designpersuasive technology

Identifiers

PMID30664477
PMCPMC6350087

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.