Evidence map›Paper›PMID 41092392›Full record

ArticleJMIR formative research2025

Exploring the Use of Digital Technology to Support Health Behavior Change in Young People Under the Care of Complications of Excess Weight (CCEW) Clinics: Qualitative Patient-Centered Design Study.

Brioney Gee, Bonnie Teague, Matt Farrar, Victoria Farrar, Dorothy Szinay, Li F Chan, Ken K Ong, Ben Jackson, Sydney Wylie, Felix Naughton and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 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

12 authors.

Brioney GeeNorfolk and Suffolk NHS Foundation Trust Research, Norfolk and Suffolk NHS Foundation Trust, Norwich, United Kingdom.ORCID 0000-0003-0781-7753
Bonnie TeagueNorfolk and Suffolk NHS Foundation Trust Research, Norfolk and Suffolk NHS Foundation Trust, Norwich, United Kingdom.ORCID 0000-0002-3248-2257
Matt FarrarLovedBy Group, Cheshire, Loved By Group, Chester, United Kingdom.ORCID 0009-0002-8120-3223
Victoria FarrarLovedBy Group, Cheshire, Loved By Group, Chester, United Kingdom.ORCID 0009-0005-7729-5809
Dorothy SzinaySchool of Health Sciences, University of East Anglia, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0003-2722-6758
Li F ChanCentre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine,, Queen Mary University, London, United Kingdom.ORCID 0000-0001-5146-8242
Ken K OngMedical Research Council Epidemiology Unit & Department of Paediatrics, Institute of Metabolic Science, University of Cambridge, Institute of Metabolic Science, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0003-4689-7530
Ben JacksonHealth Innovation East, Health Innovation, Cambridge, United Kingdom.ORCID 0009-0007-9438-5325
Sydney WyliePublic Contributor, public contributer, Norwich, United Kingdom.ORCID 0009-0008-0234-8306
Felix NaughtonSchool of Health Sciences, University of East Anglia, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0001-9790-2796
Jon WilsonNorfolk and Suffolk NHS Foundation Trust Research, Norfolk and Suffolk NHS Foundation Trust, Norwich, United Kingdom.ORCID 0000-0002-5279-6237
Emma Alice WebbNorwich Medical School, University of East Anglia, Norwich, United Kingdom.ORCID 0000-0001-7662-7449

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecialist multidisciplinary clinics have been established to provide care for the burgeoning number of young people presenting with comorbidities related to severe obesity in childhood. Digital technology, an integral component of most young people's lives, may enable clinics to offer accessible, ongoing support between appointments to the patients, thereby increasing the likelihood of successful health behavior change. However, while short-term engagement with technology-based behavior change interventions is good, engagement tends to decrease over time, limiting their overall impact. Little is known about the views of young people living with obesity on the role of digital technology as an adjunct to current traditional care pathways.

objectiveThis study aims to explore the views of adolescent patients and their families on whether digital technology should be used by obesity services to support health behavior change.

methodsParticipants included patients aged between 10 and 16 years from an obesity clinic, along with their adult family members. Four focus groups and co-design workshops, facilitated by a cross-disciplinary team of clinicians, academics, and technology innovators, explored young people's health priorities, identified the barriers to and facilitators of health behavior change, and co-designed ways in which technology could be used to support them in overcoming these barriers to achieving their health goals. Data were analyzed using inductive content analysis, with findings integrated with key co-design workshop outputs.

resultsIn total, 37 individuals participated, including 19 (51%) adolescents (n=11, 58% female) and 18 (49%) family members. The young participants, on average, were aged 13.4 (SD 1.68; range 10-16) years; the mean BMI was 36.6 (SD 0.3; range 34-47) kg/m

conclusionsThere is clear potential for digital technology to support the holistic health priorities of young people receiving specialist care for the comorbidities of excess weight. This study's findings will serve as a foundation for developing innovative approaches to the use of technology to support this high-need population.

Indexed as

Digital TechnologyHealth BehaviorPediatric ObesityAdolescentChildFemaleFocus GroupsHumansMalePatient-Centered CareQualitative Researchadolescentsdigital technologyhealth behavior changeobesityparticipatory researchyoung people

Identifiers

PMID41092392
PMCPMC12572744

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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.