Evidence map›Paper›PMID 37307045›Full record

ArticleJournal of medical Internet research2023

The Use of Digital Health by South Asian Communities: Scoping Review.

Nasser Aldosari, Saima Ahmed, Jane McDermott, Emma Stanmore

Open access · goldAbstract readScoping Review
In one paragraph

Article 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 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
12.7field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 29 citations in OpenAlex.

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  10. Cultural tailoring of pain management approaches: a scoping review.International journal for equity in health · 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

4 authors at 1 institution in 2 countries.

Nasser AldosariSchool of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID 0000-0003-3669-0894
Saima AhmedSchool of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-6206-3184
Jane McDermottSchool of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID 0000-0001-9039-504X
Emma StanmoreSchool of Health Sciences, University of Manchester, Manchester, United Kingdom.ORCID 0000-0002-4522-5292
University of Manchester · GB

Funding

Department of Health
6 · The paper itself

Abstract

backgroundSouth Asian individuals experience a higher burden of chronic diseases and limited access to health care services compared with their Caucasian peers. Digital health interventions can enhance the delivery of health care, minimize health inequities, and consequently improve health status among minority ethnic groups. However, it is unclear how South Asian people view and perceive the use of digital health technologies to support their health needs.

objectiveThe aim of the review is to identify South Asian individuals' experiences and attitudes of digital health and explore the barriers and facilitators affecting their use of digital health services.

methodsThe Arksey and O'Malley methodological framework was used to guide this scoping review. Five electronic databases were examined for pertinent papers, which were augmented by searching bibliographies of the retrieved papers and gray literature. A total of 1328 potentially relevant papers were retrieved from the initial search, and the supplemental search added 7 papers to the final list of potentially included papers. Each paper on the initial inclusion list was independently reviewed, leaving 15 papers to be included in the review.

resultsData were analyzed thematically leading to the development of two overarching themes: (1) barriers to uptake of digital health and (2) facilitators of use of digital health services. There was a general consensus that South Asian communities still struggle with inadequate access to digital health technologies. Some studies suggest multiple initiatives to improve accessibility and acceptability of digital health services within South Asian communities in order to mitigate health disparities and develop a more inclusive health care system. These include the development of multiple-language and culturally sensitive interventions and digital skill development sessions. Most studies were conducted in South Asian countries, focusing on measurable outcomes of digital health interventions. Few explored the experiences and views of South Asian community members residing in the West as a minority ethnic group, for example, British South Asians.

conclusionsLiterature mapping proposes that South Asian people frequently struggle with a health care system that may limit their access to digital health services, and sometimes fails to consider social and cultural needs. There is growing evidence that digital health interventions have the potential to facilitate supported self-management, which is part of the plans to adopt person-centered care. These interventions are particularly important for overcoming some of the challenges, for example, time constraints, safety, and gender sensitivity, associated with the delivery of health care interventions in minority ethnic groups such as South Asians in the United Kingdom, and thus to improve minority ethnic groups' access to health care services to support individual health needs, and consequently enhance health status.

Indexed as

Asian PeopleBiomedical TechnologyEthnicityHumansMinority GroupsWhite PeopleaccessibilityadoptionagingAsiaattitudebarrierculturally sensitivecultural sensitivitydigital dividedigital healthdisparitiesdisparityeHealthethnicethnicityexerciseexperiencefacilitatorimmigrantinequalitiesinequalitymHealthminoritymobile healthmobile phoneopinionphysical activityscoping reviewSouth Asians

Identifiers

PMID37307045
PMCPMC10337427
OpenAlexW4324289932

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.