Dr CRISTINA ROADEVIN CRISTINA.ROADEVIN@NOTTINGHAM.AC.UK
HEALTH ECONOMIST (Research Fellow)
Dr CRISTINA ROADEVIN CRISTINA.ROADEVIN@NOTTINGHAM.AC.UK
HEALTH ECONOMIST (Research Fellow)
Harry Hill
Whenever the government makes medical resource allocation choices, there will be opportunity costs associated with those choices: some patients will have treatment and live longer, while a different group of patients will die prematurely. Because of this, we have to make sure that the benefits we get from investing in treatment A are large enough to justify the benefits forgone from not investing in the next best alternative, treatment B. There has been an increase in spending and reallocation of resources during the COVID-19 pandemic that may have been warranted given the urgency of the situation. However, these actions do not bypass the opportunity cost principle although they can appear to in the short term, since spending increases cannot continue indefinitely and there are patient groups who lose out when resources are redirected to pandemic services. Therefore, policy-makers must consider who bears the cost of the displaced healthcare resources. Failure to do so runs a risk of reducing overall population health while disproportionally worsening health in socially disadvantaged groups. We give the example of ethnic minorities in England who already had the worst health and, due to structural injustices, were hardest hit by the pandemic and may stand to lose the most when services are reallocated to meet the resource demands of the crisis. How can we prevent this form of health inequity? Our proposal is forward-looking: we suggest that the government should invest our resources wisely while taking issues of equity into account–that is, introduce cost–equity analysis.
Roadevin, C., & Hill, H. (2021). How can we decide a fair allocation of healthcare resources during a pandemic?. Journal of Medical Ethics, 47(12), e84-e84. https://doi.org/10.1136/medethics-2020-106815
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 10, 2020 |
Online Publication Date | Jan 13, 2021 |
Publication Date | 2021-12 |
Deposit Date | Feb 13, 2025 |
Journal | Journal of Medical Ethics |
Print ISSN | 0306-6800 |
Electronic ISSN | 1473-4257 |
Publisher | BMJ Publishing Group |
Peer Reviewed | Peer Reviewed |
Volume | 47 |
Issue | 12 |
Pages | e84-e84 |
DOI | https://doi.org/10.1136/medethics-2020-106815 |
Public URL | https://nottingham-repository.worktribe.com/output/45311839 |
Publisher URL | https://jme.bmj.com/content/47/12/e84 |
Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening
(2024)
Journal Article
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search