Evidence map›Paper›PMID 34927597›Full record

ArticleJMIR mHealth and uHealth2021

Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study.

Dorothy Szinay, Olga Perski, Andy Jones, Tim Chadborn, Jamie Brown, Felix Naughton

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

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

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  13. Exploring digital health: a qualitative study on adults' experiences with health apps and wearables.International journal of qualitative studies on health and well-being · 2025
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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

6 authors.

Dorothy SzinaySchool of Health Sciences, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0003-2722-6758
Olga PerskiDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0003-3285-3174
Andy JonesNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0002-3130-9313
Tim ChadbornBehavioural Insights, Public Health England, London, United Kingdom.ORCID 0000-0001-6264-3843
Jamie BrownDepartment of Behavioural Science and Health, University College London, London, United Kingdom.ORCID 0000-0002-2797-5428
Felix NaughtonSchool of Health Sciences, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0001-9790-2796

Funding

Cancer Research UK 22962
6 · The paper itself

Abstract

backgroundDigital health devices, such as health and well-being smartphone apps, could offer an accessible and cost-effective way to deliver health and well-being interventions. A key component of the effectiveness of health and well-being apps is user engagement. However, engagement with health and well-being apps is typically poor. Previous studies have identified a list of factors that could influence engagement; however, most of these studies were conducted on a particular population or for an app targeting a particular behavior. An understanding of the factors that influence engagement with a wide range of health and well-being apps can inform the design and the development of more engaging apps in general.

objectiveThe aim of this study is to explore user experiences of and reasons for engaging and not engaging with a wide range of health and well-being apps.

methodsA sample of adults in the United Kingdom (N=17) interested in using a health or well-being app participated in a semistructured interview to explore experiences of engaging and not engaging with these apps. Participants were recruited via social media platforms. Data were analyzed with the framework approach, informed by the Capability, Opportunity, Motivation-Behaviour (COM-B) model and the Theoretical Domains Framework, which are 2 widely used frameworks that incorporate a comprehensive set of behavioral influences.

resultsFactors that influence the capability of participants included available user guidance, statistical and health information, reduced cognitive load, well-designed reminders, self-monitoring features, features that help establish a routine, features that offer a safety net, and stepping-stone app characteristics. Tailoring, peer support, and embedded professional support were identified as important factors that enhance user opportunities for engagement with health and well-being apps. Feedback, rewards, encouragement, goal setting, action planning, self-confidence, and commitment were judged to be the motivation factors that affect engagement with health and well-being apps.

conclusionsMultiple factors were identified across all components of the COM-B model that may be valuable for the development of more engaging health and well-being apps. Engagement appears to be influenced primarily by features that provide user guidance, promote minimal cognitive load, support self-monitoring (capability), provide embedded social support (opportunity), and provide goal setting with action planning (motivation). This research provides recommendations for policy makers, industry, health care providers, and app developers for increasing effective engagement.

Indexed as

Mobile ApplicationsAdultHumansMotivationQualitative ResearchSocial SupportUnited Kingdombehavior changeCOM-Bengagementframework analysishealth appsmHealthmobile phonemotivationsmartphone appTDFusabilityuser engagement

Identifiers

PMID34927597
PMCPMC8726027

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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.