Evidence map›Paper›PMID 39416766›Full record

ArticleInternational journal of health governance2022

Bringing ethics into governance: the case of the UK COVID-19 contact tracing app.

Gabrielle Samuel, Federica Lucivero

Abstract read
In one paragraph

Article in International journal of health governance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors.

Gabrielle SamuelDepartment of Global Health and Social Medicine, King's College London, London, UK.
Federica LuciveroNuffield Department of Population Health, Ethox and Wellcome Centre for Ethics and Humanities, University of Oxford, Old Road Campus, Oxford, UK.

Funding

Wellcome Trust 203132Wellcome Trust 213619
6 · The paper itself

Abstract

Purpose: In April 2020, it was announced that NHSX, a unit of the UK National Health Service (NHS) responsible for digital innovation, was developing a contact tracing app that would offer a digital solution to managing the COVID-19 pandemic. Despite the urgency with which the app was developed, a clear commitment was made to designing the technology in a way that enshrined key ethical principles, and an ethics advisory board (EAB) was established to provide timely advice, guidance and recommendations on associated ethical issues. Alongside this, there were extensive criticisms of how NHSX adhered to ethical principles in the handling of the app development-criticisms that require empirical exploration. This paper explores how ethics was incorporated into decision-making during governance processes associated with the development of app. Design/methodology/approach: Interviews were conducted with those involved in the app's development/governance, those with a consulting role associated with the app, or those who sat on the EAB. Findings: The EAB fulfilled an important role by introducing ethical considerations to app developers. Though at times, it was difficult to accommodate key ethics principles into governance processes, which sometimes suffered from little accountability. Originality/value: While several articles have provided overviews of ethical issues, or explored public perceptions towards contact tracing apps, to the best the authors, knowledge this is the first empirical piece analysing ethics governance issues via stakeholder interviews.

Indexed as

Contact tracing appDigital healthEthicsGovernanceNHSXPandemicPreparednessRRI

Identifiers

PMID39416766
PMCPMC7616708

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.