Evidence map›Paper›PMID 39133910›Full record

ArticleJMIR formative research2024

Identifying Barriers to the Adoption of Digital Contact Tracing Apps in England: Semistructured Interview Study With Professionals Involved in the Pandemic Response.

Anna Palmer, Shaishab Sharma, Jayesh Nagpal, Victor Kimani, Florence Mai, Zara Ahmed

Abstract read
In one paragraph

Article in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Anna PalmerImperial College School of Medicine, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0009-0008-1076-6460
Shaishab SharmaImperial College School of Medicine, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0002-9451-1447
Jayesh NagpalBarts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.ORCID https://orcid.org/0009-0009-5922-9663
Victor KimaniBirmingham Medical School, University of Birmingham, Birmingham, United Kingdom.ORCID https://orcid.org/0009-0002-3345-2065
Florence MaiImperial College Business School, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0009-0005-4935-500X
Zara AhmedImperial College Business School, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0009-0008-0411-2401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe NHS (National Health Service) COVID-19 app was a digital contact tracing app (DCTA) used in England in response to the COVID-19 pandemic. The aim of which was to limit the spread of COVID-19 by providing exposure alerts. At the time of the pandemic, questions were raised regarding the effectiveness and cost of the NHS COVID-19 app and whether DCTAs have a role in future pandemics.

objectiveThis study aims to explore key barriers to DCTAs in England during the COVID-19 pandemic.

methodsThis is a qualitative study using semistructured video interviews conducted with professionals in public health, digital health, clinicians, health care law, and health executives who had an active role in the COVID-19 pandemic. These interviews aimed to explore the perspective of different experts involved in the pandemic response and gauge their opinions on the key barriers to DCTAs in England during the COVID-19 pandemic. The initial use of maximum variation sampling combined with a snowball sampling approach ensured diversity within the cohort of interviewees. Interview transcripts were then analyzed using Braun and Clarke's 6 steps for thematic analysis.

resultsKey themes that acted as barriers to DCTAs were revealed by interviewees such as privacy concerns, poor communication, technological accessibility, digital literacy, and incorrect use of the NHS COVID-19 app. Interviewees believed that some of these issues stemmed from poor governmental communication and a lack of transparency regarding how the NHS COVID-19 app worked, resulting in decreased public trust. Moreover, interviewees highlighted that a lack of social support integration within the NHS COVID-19 app and delayed app notification period also contributed to the poor adoption rates.

conclusionsQualitative findings from interviews highlighted barriers to the NHS COVID-19 app, which can be applied to DCTAs more widely and highlight some important implications for the future use of DCTAS. There was no consensus among interviewees as to whether the NHS COVID-19 app was a success; however, all interviewees provided recommendations for improvements in creating and implementing DCTAs in the future.

Indexed as

appsbarriercommunicationcontact tracingCOVID-19digital healthdigital illiteracyeffectivenessEnglandglobal healthprivacypublic healthqualitative studysocial supportsupporttechnologythematic analysistracingtracing app

Identifiers

PMID39133910
PMCPMC11347901

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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.