Estimating (quality-adjusted) life-year losses associated with deaths: With application to COVID-19

Andrew H. Briggs, Daniel A. Goldstein, Erin Kirwin, Rachel Meacock, Ankur Pandya, David J. Vanness, Torbjørn Wisløff

Research output: Contribution to journalArticlepeer-review

40 Scopus citations


Many epidemiological models of the COVID-19 pandemic have focused on preventing deaths. Questions have been raised as to the frailty of those succumbing to the COVID-19 infection. In this paper we employ standard life table methods to illustrate how the potential quality-adjusted life-year (QALY) losses associated with COVID-19 fatalities could be estimated, while adjusting for comorbidities in terms of impact on both mortality and quality of life. Contrary to some suggestions in the media, we find that even relatively elderly patients with high levels of comorbidity can still lose substantial life years and QALYs. The simplicity of the method facilitates straightforward international comparisons as the pandemic evolves. In particular, we compare five different countries and show that differences in the average QALY losses for each COVID-19 fatality is driven mainly by differing age distributions for those dying of the disease.

Original languageEnglish (US)
Pages (from-to)699-707
Number of pages9
JournalHealth Economics (United Kingdom)
Issue number3
StatePublished - Mar 2021

All Science Journal Classification (ASJC) codes

  • Health Policy


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