Evidence map›Paper›PMID 40529606›Full record

ArticleFrontiers in digital health2025

Participatory design and evaluation of digital coaching for improving health-the star multicomponent lifestyle intervention.

Helena Lindgren, Kaan Kilic

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Helena LindgrenDepartment of Computing Science, Umeå University, Umeå, Sweden.
Kaan KilicDepartment of Computing Science, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There are particular challenges when designing and developing a digital coaching application aimed at providing person-tailored support for lifestyle changes in multiple domains to promote health. This study explored how a participatory design process addresses challenges that materialised in a multicomponent lifestyle intervention, providing an understanding of the onboarding experience and early user engagement. Method: A participatory design methodology was applied involving a multidisciplinary team of 12 domain experts and different groups of end users in design cycles, model construction, prototyping, and evaluation. The process followed a design methodology for argument-based health information systems and a framework for layered interactive adaptive systems to engage domain experts in the development of aspects relating to the interactivity of the system. A qualitative user study was conducted with eight participants, five regular users and three nurses, focussing on the onboarding phase. Results: Contributions of this article are (i) the StarCoach, the person-tailored health-promotion intervention for multiple health behaviours supporting short and long-term goals; (ii) a framework for studying multicomponent lifestyle interventions with multiple behaviour change techniques (BCTs); and (iii) qualitative results regarding usage, adherence to, and perceived effects of the intervention with a focus on the initial phase of using the application. The five regular participants reported increased health-promoting activities during the onboarding phase and were using already habituated activities to establish a routine to use the intervention. Conclusion: The participatory design led to StarCoach embedding clusters of BCTs, which build a framework for research on multicomponent lifestyle interventions. Whether using already habituated activities to establish a routine to use the intervention could be a strategy to increase adherence and engagement in the onboarding phase and beyond will be a focus in future studies. The participants also showed increased engagement in their chosen lifestyle-change activities during the study period. The findings will be followed up in future studies to evaluate the effects on behaviour over a longer period of time.

Indexed as

behaviour changebehaviour change techniquescardiovascular diseasecomputational argumentationhuman–AI interactionmHealthparticipatory designpersonalisation

Identifiers

PMID40529606
PMCPMC12172075

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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.