Evidence map›Paper›PMID 29986396›Full record

ArticleHealthcare (Basel, Switzerland)2018

Lost in Translation: Transforming Behaviour Change Techniques into Engaging Digital Content and Design for the StopApp.

Emily Anne Fulton, Kayleigh L Kwah, Sue Wild, Katherine E Brown

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 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.

Emily Anne FultonCentre for Advances in Behavioural Science (CABS), Coventry University, Coventry CV1 5FB, UK. Emmie.fulton@coventry.ac.uk.ORCID 0000-0002-5979-3207
Kayleigh L KwahCentre for Advances in Behavioural Science (CABS), Coventry University, Coventry CV1 5FB, UK. kayleigh.kwah@coventry.ac.uk.
Sue WildPublic Health Warwickshire, Warwickshire County Council, Warwick CV34 4RL, UK. suewild@warwickshire.gov.uk.
Katherine E BrownCentre for Advances in Behavioural Science (CABS), Coventry University, Coventry CV1 5FB, UK. Katherine.brown@coventry.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Frameworks to support the application of behaviour change theory to the choice of behaviour change techniques (BCTs) in designing digital behaviour change interventions (DBCIs) are becoming well established, and have been employed by the authors in the development of StopApp. However, guidance on the next stage—effective operationalisation (translation) of these BCTs to a digital context, including the precise delivery and design of “behavioural intervention technology” (BIT) elements, is still in its infancy. This is despite growing recognition of the need to optimise engagement and usability, alongside a theoretical basis, for intervention effectiveness. The aim of this study was to explore methods to translate BCTs into digital content in an accurate and systematic manner. We describe the process of using co-creation (user-led) rather than expert-driven methods in the development of user-facing features and design in StopApp, including the iterative “bottom-up” and “top-down processes” necessary for accurate BCT translation. We found a small disparity between the intended and actual BCT content, reflecting the difficulties of translating BCTs into digital intervention content and the need for better guidance and methodical approaches to enhance this under-researched process. The involvement of our Patient and Public Involvement (PPI) group throughout these processes is described.

Indexed as

behaviour change techniquesdesigndigitalengagementhealth behaviour changeintervention

Identifiers

PMID29986396
PMCPMC6164572

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.