Evidence map›Paper›PMID 42583173›Full record

ArticlePublic health challenges2026

The Online Market for Healthcare Self-Testing Kits: Benefits, Risks and Media Representation in the United Kingdom.

Jasmine Lee, Sebastian S Fuller, Suneeta Soni, Emma Harding-Esch

Abstract read
In one paragraph

Article in Public health challenges, 2026. 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

4 authors.

Jasmine LeeLancaster University Bailrigg UK.ORCID https://orcid.org/0009-0004-2167-5709
Sebastian S FullerNuffield Department of Medicine University of Oxford Oxford UK.ORCID https://orcid.org/0000-0002-9284-6630
Suneeta SoniUniversity Hospital Sussex Royal Sussex County Hospital Brighton UK.
Emma Harding-EschLondon School of Hygiene & Tropical Medicine London UK.ORCID https://orcid.org/0000-0002-1432-8109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The UK private healthcare self-testing market has grown quickly, especially since the COVID-19 pandemic. Self-tests offer convenience and autonomy, but concerns persist about their accuracy, regulation, oversight and follow-up care. Media coverage shapes public views, but systematic analysis is lacking. Our aims were to examine UK media coverage of private self-testing kits, identifying key themes, reported benefits and risks and overall media attitudes. Methods: A search of online media articles published between 2019 and 2023 was conducted using Google. Eligible articles discussed privately purchased self-testing kits, were in English, and were free to access. Articles were grouped by health area, and thematic analysis found key patterns. Results: Fifty-nine articles met inclusion criteria. Themes that were described as positive included autonomy, accessibility and use alongside the National Health Service (NHS). Negative themes included concerns about accuracy, the use of inappropriate biomarkers, insufficient regulation, lack of follow-up, the risk of misinterpretation, psychological distress and an increased burden on the NHS. Media reports noted a lack of standardisation compared with NHS pathways. Conclusion: UK media coverage was predominantly critical of self-tests, although benefits such as accessibility and autonomy were recognised. Media representations are influenced by journalistic framing, selective sourcing and broader tendencies toward risk-focused reporting. Future research should explore how this influences public behaviour, engagement with self-testing technologies and subsequent healthcare utilisation.

Indexed as

media representationonline marketself‐testing kitsUnited Kingdom

Identifiers

PMID42583173
PMCPMC13460401

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.