Evidence map›Paper›PMID 36112732›Full record

ArticleJournal of medical Internet research2022

Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods Study.

Cecily Pepper, Gisela Reyes-Cruz, Ana Rita Pena, Liz Dowthwaite, Camilla M Babbage, Hanne Wagner, Elena Nichele, Joel E Fischer

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.0field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

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  6. mHealth and COVID-19: A Bibliometric Study.Healthcare (Basel, Switzerland) · 2023
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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

8 authors at 1 institution in 1 country.

Cecily Pepper *Horizon Centre for Doctoral Training, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-3187-2146
Gisela Reyes-Cruz *Mixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-5363-5489
Ana Rita Pena *Horizon Centre for Doctoral Training, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-4465-7242
Liz DowthwaiteHorizon Digital Economy Research, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-9269-2849
Camilla M BabbageNIHR MindTech MedTech Co-operative, School of Medicine, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-6337-3352
Hanne WagnerMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0002-8552-2857
Elena NicheleHorizon Digital Economy Research, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0003-0755-1342
Joel E FischerMixed Reality Lab, School of Computer Science, University of Nottingham, Nottingham, United Kingdom.ORCID 0000-0001-8878-2454
University of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital contact tracing (DCT) apps have been implemented as a response to the COVID-19 pandemic. Research has focused on understanding acceptance and adoption of these apps, but more work is needed to understand the factors that may contribute to their sustained use. This is key to public health because DCT apps require a high uptake rate to decrease the transmission of the virus within the general population.

objectiveThis study aimed to understand changes in the use of the National Health Service Test & Trace (T&T) COVID-19 DCT app and explore how public trust in the app evolved over a 1-year period.

methodsWe conducted a longitudinal mixed methods study consisting of a digital survey in December 2020 followed by another digital survey and interview in November 2021, in which responses from 9 participants were explored in detail. Thematic analysis was used to analyze the interview transcripts. This paper focuses on the thematic analysis to unpack the reasoning behind participants' answers.

resultsIn this paper, 5 themes generated through thematic analysis are discussed: flaws in the T&T app, usefulness and functionality affecting trust in the app, low trust in the UK government, varying degrees of trust in other stakeholders, and public consciousness and compliance dropping over time. Mistrust evolved from participants experiencing sociotechnical flaws in the app and led to concerns about the app's usefulness. Similarly, mistrust in the government was linked to perceived poor pandemic handling and the creation and procurement of the app. However, more variability in trust in other stakeholders was highlighted depending on perceived competence and intentions. For example, Big Tech companies (ie, Apple and Google), large hospitality venues, and private contractors were seen as more capable, but participants mistrust their intentions, and small hospitality venues, local councils, and the National Health Service (ie, public health system) were seen as well-intentioned but there is mistrust in their ability to handle pandemic matters. Participants reported complying, or not, with T&T and pandemic guidance to different degrees but, overall, observed a drop in compliance over time.

conclusionsThese findings contribute to the wider implications of changes in DCT app use over time for public health. Findings suggest that trust in the wider T&T app ecosystem could be linked to changes in the use of the app; however, further empirical and theoretical work needs to be done to generalize the results because of the small, homogeneous sample. Initial novelty effects occurred with the app, which lessened over time as public concern and media representation of the pandemic decreased and normalization occurred. Trust in the sociotechnical capabilities of the app, stakeholders involved, and salience maintenance of the T&T app in conjunction with other measures are needed for sustained use.

Indexed as

COVID-19Mobile ApplicationsContact TracingEcosystemHumansPandemicsState MedicineTrustUnited KingdomcomplianceCOVID-19digital contact tracinglongitudinalmixed methodsmobile phonepublic healthtechnology adoptionthematic analysistracing apptrust

Identifiers

PMID36112732
PMCPMC9578414
OpenAlexW4296162228

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.