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

被引:45
作者
Briggs, Andrew H.
Goldstein, Daniel A.
Kirwin, Erin
Meacock, Rachel
Pandya, Ankur
Vanness, David J.
Wisloff, Torbjorn
机构
[1] London Sch Hyg & Trop Med, Dept Hlth Serv Res Policy, London, England
[2] Tel Aviv Univ, Dept Oncol, Fac Med, Tel Aviv, Israel
[3] Inst Hlth Econ, Edmonton, AB, Canada
[4] Univ Manchester, Sch Hlth Sci, Hlth Org Policy & Econ HOPE Grp, Manchester, Lancs, England
[5] Harvard TH Chan Sch Publ Hlth, Dept Hlth Policy & Management, Boston, MA USA
[6] Penn State Univ, Dept Hlth Policy & Adm, University Pk, PA 16802 USA
[7] UiT Arctic Univ Norway, Dept Community Med, Tromso, Norway
关键词
COVID-19; life tables; QALYs; quality-adjusted life-years;
D O I
10.1002/hec.4208
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:699 / 707
页数:9
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