Evidence map›Paper›PMID 39446315›Full record

ArticleJMIR human factors2024

Uptake of Digital Health Interventions for Cardiometabolic Disease in British South Asian Individuals: Think Aloud Study.

Mel Ramasawmy, Dan Roland Persson, David Sunkersing, Paramjit Gill, Kamlesh Khunti, Lydia Poole, Wasim Hanif, Ann Blandford, Madiha Sajid, Fiona Stevenson and 2 more

Abstract read
In one paragraph

Article in JMIR human factors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Mel RamasawmyInstitute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, United Kingdom, 44 07940058826.ORCID 0000-0002-4864-8565
Dan Roland PerssonTechnical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-4258-6949
David SunkersingInstitute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, United Kingdom, 44 07940058826.ORCID 0000-0001-9010-1435
Paramjit GillWarwick Medical School, University of Warwick, Coventry, United Kingdom.ORCID 0000-0001-8756-6813
Kamlesh KhuntiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.ORCID 0000-0003-2343-7099
Lydia PooleDepartment of Psychological Interventions, School of Psychology, University of Surrey, Guildford, United Kingdom.ORCID 0000-0003-1325-7107
Wasim HanifDepartment of Diabetes, University Hospital Birmingham, Birmingham, United Kingdom.ORCID 0000-0003-2133-7465
Ann BlandfordUniversity College London Interaction Centre, University College London, London, United Kingdom.ORCID 0000-0002-3198-7122
Madiha SajidPatient and Public Involvement Representative, Digital Interventions for South Asians with Cardiometabolic Disease Study, London, United Kingdom.ORCID 0000-0001-6294-2595
Fiona StevensonDepartment of Primary Care and Population Health, University College London, London, United Kingdom.ORCID 0000-0003-2139-2309
Nushrat KhanDepartment of Primary Care and Public Health, Imperial College London, London, United Kingdom.ORCID 0000-0002-4521-0920
Amitava BanerjeeInstitute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, United Kingdom, 44 07940058826.ORCID 0000-0001-8741-3411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health interventions (DHIs) could support prevention and management of cardiometabolic disease. However, those who may benefit most often experience barriers to awareness and adoption of these interventions. Objective: Among South Asian individuals, we evaluated user experience of DHIs for prevention and management of cardiometabolic disease, aiming to understand barriers and facilitators to initial and ongoing use. Methods: Among South Asian individuals recruited via primary care, community organizations, and snowball methods (n=18), we conducted "think-aloud" interviews using a reflective and reactive approach. Participants included nonusers, as well as those that used a range of DHIs as part of monitoring and improving their health. Participants were asked to think aloud while completing a task they routinely do in a familiar DHI, as well as while setting up and completing a search task in a novel DHI; they were encouraged to behave as if unobserved. Results: Lack of cultural specificity was highlighted as reducing relevance and usability, particularly relating to dietary change. Preferred features reflected individual health beliefs and behaviors, digital skills, and trust in DHIs. For example, tracking blood glucose was considered by some to be positive, while for others it caused distress and anxiety. Similarly, some users found the novel DHI to be extremely simple to set up and use, and others grew frustrated navigating through initial interfaces. Many participants raised concerns about data privacy and needing to agree to terms and conditions that they did not understand. Participants expressed that with information and support from trusted sources, they would be interested in using DHIs as part of self-management. Conclusions: DHIs may support South Asians to prevent and manage cardiometabolic disease, but it is important to consider the needs of specific user groups in DHI development, design, and implementation. Despite motivation to make health changes, digital barriers are common. Cultural appropriateness and trusted sources (such as health care providers and community organizations) have roles in increasing awareness and enabling individuals to access and use DHIs.

Indexed as

Cardiovascular DiseasesAdultAgedDigital HealthFemaleHumansMaleMetabolic DiseasesMiddle AgedQualitative ResearchTelemedicineUnited Kingdomcardiologycardiometabolic diseasecardiovascular riskcultural barriersdigital dividedigital healthdigital literacyhealth disparityhealth inequalitythink aloudusabilityuser experience

Identifiers

PMID39446315
PMCPMC11526767

What OpenQuestion holds

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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.