Evidence map›Paper›PMID 33293401›Full record

ArticleBMJ open2020

Which factors should be included in triage? An online survey of the attitudes of the UK general public to pandemic triage dilemmas.

Dominic Wilkinson, Hazem Zohny, Andreas Kappes, Walter Sinnott-Armstrong, Julian Savulescu

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Management of mass casualty incidents: a systematic review and clinical practice guideline update.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Guideline
  2. Article
  3. Article
  4. Collective Reflective Equilibrium, Algorithmic Bioethics and Complex Ethics.Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Ethics of artificial intelligence in medicine.Singapore medical journal · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Dominic WilkinsonOxford Uehiro Centre for Practical Ethics, Faculty of Philosophy, University of Oxford, Oxford, UK dominic.wilkinson@philosophy.ox.ac.uk.ORCID http://orcid.org/0000-0003-3958-8633
Hazem ZohnyOxford Uehiro Centre for Practical Ethics, Faculty of Philosophy, University of Oxford, Oxford, UK.
Andreas KappesDepartment of Psychology, School of Arts and Social Sciences, City University of London, London, UK.
Walter Sinnott-ArmstrongKenan Institute for Ethics, Department of Philosophy, Duke University, Durham, North Carolina, USA.
Julian SavulescuOxford Uehiro Centre for Practical Ethics, Faculty of Philosophy, University of Oxford, Oxford, UK.

Funding

Wellcome Trust 104848
6 · The paper itself

Abstract

objectiveAs cases of COVID-19 infections surge, concerns have renewed about intensive care units (ICUs) being overwhelmed and the need for specific triage protocols over winter. This study aimed to help inform triage guidance by exploring the views of lay people about factors to include in triage decisions. DESIGN, SETTING AND

participantsOnline survey between 29th of May and 22nd of June 2020 based on hypothetical triage dilemmas. Participants recruited from existing market research panels, representative of the UK general population. Scenarios were presented in which a single ventilator is available, and two patients require ICU admission and ventilation. Patients differed in one of: chance of survival, life expectancy, age, expected length of treatment, disability and degree of frailty. Respondents were given the option of choosing one patient to treat or tossing a coin to decide.

resultsSeven hundred and sixty-three participated. A majority of respondents prioritised patients who would have a higher chance of survival (72%-93%), longer life expectancy (78%-83%), required shorter duration of treatment (88%-94%), were younger (71%-79%) or had a lesser degree of frailty (60%-69%, all p<0.001). Where there was a small difference between two patients, a larger proportion elected to toss a coin to decide which patient to treat. A majority (58%-86%) were prepared to withdraw treatment from a patient in intensive care who had a lower chance of survival than another patient currently presenting with COVID-19. Respondents also indicated a willingness to give higher priority to healthcare workers and to patients with young children.

conclusionMembers of the UK general public potentially support a broadly utilitarian approach to ICU triage in the face of overwhelming need. Survey respondents endorsed the relevance of patient factors currently included in triage guidance, but also factors not currently included. They supported the permissibility of reallocating treatment in a pandemic.

Indexed as

Attitude to HealthAdultCOVID-19FemaleHealth Care RationingHumansIntensive Care UnitsMaleMiddle AgedPandemicsSARS-CoV-2Surveys and QuestionnairesTriageUnited Kingdomcovid-19intensive & critical caremedical ethics

Identifiers

PMID33293401
PMCPMC7725087

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.