Evidence map›Paper›PMID 33154088›Full record

ArticleJournal of medical ethics2021

Good reasons to vaccinate: mandatory or payment for risk?

Julian Savulescu

Abstract read
In one paragraph

Article in Journal of medical ethics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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  12. Collective Reflective Equilibrium, Algorithmic Bioethics and Complex Ethics.Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Do COVID-19 Vaccination Policies Backfire? The Effects of Mandates, Vaccination Passports, and Financial Incentives on COVID-19 Vaccination.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024
    Review
  17. Review
  18. Article
  19. Ethics of artificial intelligence in medicine.Singapore medical journal · 2024
    Review
  20. Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Julian SavulescuFaculty of Philosophy, University of Oxford, Oxford, UK julian.savulescu@philosophy.ox.ac.uk.ORCID 0000-0003-1691-6403

Funding

Wellcome Trust 104848Wellcome Trust 104848/Z/14/ZWellcome Trust 203132
6 · The paper itself

Abstract

Mandatory vaccination, including for COVID-19, can be ethically justified if the threat to public health is grave, the confidence in safety and effectiveness is high, the expected utility of mandatory vaccination is greater than the alternatives, and the penalties or costs for non-compliance are proportionate. I describe an algorithm for justified mandatory vaccination. Penalties or costs could include withholding of benefits, imposition of fines, provision of community service or loss of freedoms. I argue that under conditions of risk or perceived risk of a novel vaccination, a system of payment for risk in vaccination may be superior. I defend a payment model against various objections, including that it constitutes coercion and undermines solidarity. I argue that payment can be in cash or in kind, and opportunity for altruistic vaccinations can be preserved by offering people who have been vaccinated the opportunity to donate any cash payment back to the health service.

Indexed as

Dissent and DisputesHealth PolicyPatient Acceptance of Health CareAltruismCoercionCOVID-19FreedomHumansMandatory ProgramsMotivationPandemicsPublic HealthSARS-CoV-2Vaccinationbehaviour modificationcoercionphilosophical ethicspublic health ethicstechnology/risk assessment

Identifiers

PMID33154088
PMCPMC7848060

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.