Evidence map›Paper›PMID 40701637›Full record

ArticleBMJ (Clinical research ed.)2025

Direct-to-consumer self-tests sold in the UK in 2023: cross sectional review of information on intended use, instructions for use, and post-test decision making.

Clare Davenport, Alex Richter, Bethany Hillier, Katie Scandrett, Ridhi Agarwal, Simon W Baldwin, Aditya U Kale, Joseph Alderman, Trystan Macdonald, Jonathan J Deeks

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2025. 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

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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Clare DavenportDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Alex RichterDepartment of Clinical Immunology Services, School of Infection, Inflammation and Immunology, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Bethany HillierDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Katie ScandrettDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Ridhi AgarwalDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Simon W BaldwinDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK.
Aditya U KaleNIHR Birmingham Biomedical Research Centre, Birmingham, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.
Joseph AldermanNIHR Birmingham Biomedical Research Centre, Birmingham, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.
Trystan MacdonaldNIHR Birmingham Biomedical Research Centre, Birmingham, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK.
Jonathan J DeeksDepartment of Applied Health Sciences, School of Health Sciences, College of Medicine and Health, University of Birmingham, Birmingham, UK j.deeks@bham.ac.uk.ORCID 0000-0002-8850-1971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo review the information provided for self-test devices sold in high street shops in the UK and to assess their suitability for informed decision making based on use, interpretation, and post-test actions.

designCross sectional review of information on self-test boxes and instructions for use leaflets.

settingSupermarkets, pharmacies, and health and wellbeing shops within a 10 mile radius of the University of Birmingham's campus at Edgbaston in 2023.

main outcome measuresInformation on intended use of test, biomarker and clinical condition, interpretation of test results, recommendations for post-test actions, and coherence of intended use and post-test recommendations with evidence based guidance.

results30 self-tests assessing 20 biomarkers for 19 different conditions were included. Information to guide purchase was present on a few boxes: who should use the test and when (8/30, 27%), action after the test result (7/30, 23%), and numerical test performance (10/30, 33%). From the information provided either on the box or within the instructions for use leaflets, 21 (70%) self-tests were judged to be used for diagnosis and 15 (50%) to be used for screening, although 3/21 (14%) did not provide any information about symptoms and 10/15 (67%) did not provide any information about risk factors to guide use. 27 (90%) self-tests recommended follow-up with a healthcare professional if results were positive or abnormal, and 14 (47%) if test results were negative or normal. Use of tests for 11 of 19 (58%) conditions was judged contrary to evidence based guidance in one or more of the intended population, frequency of testing, test threshold, or investigative approach required for a condition.

conclusionsThe current market for self-tests does not support consumer informed decisions about their use, interpretation of test results, and subsequent actions. Clinicians working downstream of self-tests are likely to face important challenges in incorporating the results in practice. As the use of self-tests continues to increase, improved regulatory oversight is urgently needed to protect the public and healthcare systems from misuse.

Indexed as

Decision MakingDirect-To-Consumer Screening and TestingSelf-TestingCross-Sectional StudiesHumansUnited Kingdom

Identifiers

PMID40701637
PMCPMC12284942

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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.