Evidence map›Paper›PMID 39877854›Full record

ArticleDigital health

Recommendations for improving accessibility of digital health interventions for cardiometabolic disease for ethnically diverse populations.

Mel Ramasawmy, Nushrat Khan, David Sunkersing, Madiha Sajid, Shivali H Modha, Manoj Mistry, Wasim Hanif, Fiona Stevenson, Kiran Patel, Kamlesh Khunti and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Digital health. 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

13 authors.

Mel RamasawmyInstitute of Health Informatics, UCL, London, UK.ORCID https://orcid.org/0000-0002-4864-8565
Nushrat KhanDepartment of Primary Care and Public Health, Imperial College London, London, UK.
David SunkersingInstitute of Health Informatics, UCL, London, UK.
Madiha SajidDISC Study, Patient and Public Involvement Representative, London, UK.
Shivali H ModhaDISC Study, Patient and Public Involvement Representative, London, UK.
Manoj MistryDISC Study, Patient and Public Involvement Representative, London, UK.
Wasim HanifUniversity Hospitals Birmingham, Birmingham, UK.
Fiona StevensonDepartment of Primary Care and Population Health, University College London, London, UK.
Kiran PatelWarwick Medical School, University of Warwick, Coventry, UK.
Kamlesh KhuntiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK.
Paramjit GillWarwick Medical School, University of Warwick, Coventry, UK.
Lydia PooleDepartment of Psychological Interventions, School of Psychology, University of Surrey, Guildford, Surrey, UK.
Amitava BanerjeeInstitute of Health Informatics, UCL, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital health interventions (DHIs), such as apps, websites and wearables, are being presented as solutions or enablers to manage the burden of cardiometabolic disease in healthcare. However, the potential benefits of DHIs may not be reaching the most in-need populations, who may face intersecting barriers to accessing health services and digital solutions. The Digital Interventions for South Asians in Cardiometabolic Disease (DISC) study used a mixed-method approach to focus on people of a South Asian background, a high-risk group for cardiometabolic disease. A one-day workshop was held in May 2023 with key stakeholders, including people with lived experience, health professionals, technology innovators and policymakers (

Indexed as

Cardiovascular diseasediabetesdigital healtheHealthqualitative

Identifiers

PMID39877854
PMCPMC11773512

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.