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

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

2020Health Economics76 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)PandemicQuality-adjusted life yearComorbidityCase fatality rateMedicine2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)EpidemiologyYears of potential life lostQuality of life (healthcare)DemographyDiseaseGerontologyEnvironmental healthCost effectivenessOutbreakVirologyRisk analysis (engineering)Infectious disease (medical specialty)PopulationInternal medicineNursingLife expectancySociologyGlobal Health Care IssuesInsurance, Mortality, Demography, Risk ManagementHealth Systems, Economic Evaluations, Quality of Life