Your browser doesn't support javascript.
Rationing of a scarce life-saving resource: Public preferences for prioritizing COVID-19 vaccination.
Luyten, Jeroen; Tubeuf, Sandy; Kessels, Roselinde.
  • Luyten J; Leuven Institute for Healthcare Policy, KU Leuven, Leuven, Belgium.
  • Tubeuf S; Faculté de Santé Publique, Institute for Health and Society (IRSS) and Institute of Economic and Social Research (IRES), Université catholique de Louvain (UCLouvain), Brussels, Belgium.
  • Kessels R; Department of Data Analytics and Digitalization, Maastricht University, Maastricht, The Netherlands.
Health Econ ; 31(2): 342-362, 2022 02.
Article in English | MEDLINE | ID: covidwho-2270013
ABSTRACT
In the face of limited COVID-19 vaccine supply, governments have had to identify priority groups for vaccination. In October 2020, when it was still uncertain whether COVID-19 vaccines would be shown to work in trials, we conducted a discrete choice experiment and a best-worst ranking exercise on a representative sample of 2060 Belgians in order to elicit their views on how to set fair vaccination priorities. When asked directly, our respondents prioritized the groups that would later receive priority essential workers, the elderly or those with pre-existing conditions. When priorities were elicited indirectly, through observing choices between individuals competing for a vaccine, different preferences emerged. The elderly were given lower priority and respondents divided within two clusters. While both clusters wanted to vaccinate the essential workers in the second place, one cluster (N = 1058) primarily wanted to target virus spreaders in order to control transmission whereas the other cluster (N = 886) wanted to prioritize those who were most at risk because of a pre-existing health condition. Other strategies to allocate a scarce resource such as using a "lottery", "first-come, first-served" approach or highest willingness-to-pay received little support.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Aged / Humans Language: English Journal: Health Econ Journal subject: Health Services Year: 2022 Document Type: Article Affiliation country: Hec.4450

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Vaccines / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Aged / Humans Language: English Journal: Health Econ Journal subject: Health Services Year: 2022 Document Type: Article Affiliation country: Hec.4450