Evidence map›Paper›PMID 36607732›Full record

ReviewJournal of medical Internet research2023

The Use of Digital Health Interventions for Cardiometabolic Diseases Among South Asian and Black Minority Ethnic Groups: Realist Review.

Aumeya Goswami, Lydia Poole, Zareen Thorlu-Bangura, Nushrat Khan, Wasim Hanif, Kamlesh Khunti, Paramjit Gill, Madiha Sajid, Ann Blandford, Fiona Stevenson and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% of its field
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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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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

12 authors at 7 institutions in 2 countries.

Aumeya GoswamiInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0001-6968-3995
Lydia PooleSchool of Psychology, University of Surrey, Guildford, United Kingdom.ORCID 0000-0003-1325-7107
Zareen Thorlu-BanguraInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0001-8727-9718
Nushrat KhanInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0002-4521-0920
Wasim HanifInstitute of Translational Medicine, University Hospital Birmingham, Edgbaston, United Kingdom.ORCID 0000-0003-2133-7465
Kamlesh KhuntiDiabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, United Kingdom.ORCID 0000-0003-2343-7099
Paramjit GillWarwick Medical School, University of Warwick, Coventry, United Kingdom.ORCID 0000-0001-8756-6813
Madiha SajidPatient and Public Involvement Representative, DISC Study, United Kingdom.ORCID 0000-0001-6294-2595
Ann BlandfordUniversity College London Interaction Centre, University College London, London, United Kingdom.ORCID 0000-0002-3198-7122
Fiona StevensonDepartment of Primary Care and Population Health, University College London, London, United Kingdom.ORCID 0000-0003-2139-2309
Amitava BanerjeeInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0001-8741-3411
Mel RamasawmyInstitute of Health Informatics, University College London, London, United Kingdom.ORCID 0000-0002-4864-8565
University College London · GBClinical Research Consortium · USLondon Centre for Nanotechnology · GBThe Edgbaston Hospital · GBUniversity of Leicester · GBUniversity of Surrey · GBUniversity of Warwick · GB

Funding

Department of Health NIHR200937
6 · The paper itself

Abstract

backgroundDigital health interventions (DHIs) for the prevention and management of cardiometabolic diseases have become increasingly common. However, there is limited evidence for the suitability of these approaches in minority ethnic populations, who are at an increased risk of these diseases.

objectiveThis study aimed to investigate the use of DHIs for cardiovascular disease and type 2 diabetes among minority ethnic populations in countries with a majority of White, English-speaking populations, focusing on people who identified as South Asian, Black, or African American.

methodsA realist methodology framework was followed. A literature search was conducted to develop context-mechanism-outcome configurations, including the contexts in which DHIs work for the target minority ethnic groups, mechanisms that these contexts trigger, and resulting health outcomes. After systematic searches, a qualitative analysis of the included studies was conducted using deductive and inductive coding.

resultsA total of 15 studies on the uptake of DHIs for cardiovascular disease or diabetes were identified, of which 13 (87%) focused on people with an African-American background. The review found evidence supporting the use of DHIs in minority ethnic populations when specific factors are considered in implementation and design, including patients' beliefs, health needs, education and literacy levels, material circumstances, culture, social networks, and wider community and the supporting health care systems.

conclusionsOur context-mechanism-outcome configurations provide a useful guide for the future development of DHIs targeted at South Asian and Black minority ethnic populations, with specific recommendations for improving cultural competency and promoting accessibility and inclusivity of design.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Asian PeopleEthnicityHumansMinority GroupsAfrican AmericanBlackcardiologycardiometaboliccardiometabolic diseasecardiovascularcontext-mechanism-outcomeCVDdiabetesdiabeticdigital healtheHealthethnichealth inequalityheartliterature searchmigrantminoritymobile phonerealistreviewSouth Asiasystematic searchtype 2

Identifiers

PMID36607732
PMCPMC9862310
OpenAlexW4312966911

What OpenQuestion holds

Textmetadata
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.