Evidence map›Paper›PMID 41992208›Full record

ArticleBMC health services research2026

Deaf people's experience of the digital transformation of UK healthcare services: a qualitative study using semi-structured interviews.

Emmanuel Chan, Sarah Wigham, Amy O'Donnell

Abstract read
In one paragraph

Article in BMC health services research, 2026. 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

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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.

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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

3 authors.

Emmanuel ChanMental Health and Deafness Services, Walkergate Park Hospital, Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, Newcastle upon Tyne, Tyne and Wear, NE6 4QD, UK.
Sarah WighamPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK. sarah.wigham@ncl.ac.uk.
Amy O'DonnellPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4AX, UK.

Funding

National Institute for Health and Care Research (NIHR) Applied Research Collaboration (ARC) North East and North Cumbria (NENC). NIHR200173
6 · The paper itself

Abstract

backgroundHealthcare services are being transformed with the rapid adoption of digital technology, particularly since the COVID-19 pandemic. However, concerns have been expressed around digital exclusion of potentially vulnerable groups such as those experiencing mental health conditions and/or sensory impairment. This study sought to explore deaf people’s experiences of the digital transformation of UK healthcare services and identify opportunities for future service improvement.

methodA qualitative study using a social constructionist approach was conducted with data collected using semi-structured interviews. Deaf participants were recruited using purposeful sampling and drawing on existing professional and community networks. Recruitment information was available in British Sign Language (BSL) and plain English formats. Interviews were video recorded, then data transcribed from sign/spoken language to text, with non-verbal and contextual data from signing and social interactions also captured using notations. Video and textual data were analysed in parallel using reflexive thematic analysis informed by the social model of disability and a published framework for evaluating the success of health technologies. Overarching themes across participants’ accounts were identified.

resultsEleven deaf people participated in the interviews. Ten participants were BSL users; one participant was non-signing and communicated in speech during the interview. Four themes were identified: (1) lack of consideration for deaf individuals’ communication preferences in digital healthcare; (2) social connections facilitate meaningful digital health inclusion; (3) problems with digital systems - flexibility, interoperability and psychological safety; and (4) models of care should optimise deaf people’s independence and accessibility. A study limitation is that data collection and analysis were completed by one researcher.

conclusionsThe findings suggest digital health technology can risk exacerbating health inequalities faced by deaf people. Opportunities for early engagement and involvement of deaf people in designing developing, implementing and evaluating digital health technologies is crucial to ensuring acceptability and services tailored to the cultural, communication, language and literacy needs of deaf communities.

Indexed as

Persons with Hearing DisabilitiesAdultCOVID-19Digital HealthDigital MediaFemaleHumansInterviews as TopicMaleMiddle AgedQualitative ResearchSARS-CoV-2Sign LanguageUnited KingdomDeaf/deafDigitalExclusionMental healthQualitative

Identifiers

PMID41992208
PMCPMC13202999

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LicenceCC BY
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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.