Your browser doesn't support javascript.
Estimating (quality-adjusted) life-year losses associated with deaths: With application to COVID-19.
Briggs, Andrew H; Goldstein, Daniel A; Kirwin, Erin; Meacock, Rachel; Pandya, Ankur; Vanness, David J; Wisløff, Torbjørn.
  • Briggs AH; Department of Health Services Research & Policy, London School of Hygiene and Tropical Medicine, London, UK.
  • Goldstein DA; Department of Oncology, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Kirwin E; Institute of Health Economics, Edmonton, Alberta, Canada.
  • Meacock R; Health, Organisation, Policy, and Economics (HOPE) Group, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Pandya A; Health, Organisation, Policy, and Economics (HOPE) Group, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Vanness DJ; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
  • Wisløff T; Department of Health Policy and Administration, Pennsylvania State University, Pennsylvania, USA.
Health Econ ; 30(3): 699-707, 2021 03.
Article in English | MEDLINE | ID: covidwho-986047
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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Life Expectancy / Quality-Adjusted Life Years / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Health Econ Journal subject: Health Services Year: 2021 Document Type: Article Affiliation country: Hec.4208

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Life Expectancy / Quality-Adjusted Life Years / COVID-19 Type of study: Observational study / Prognostic study Limits: Adolescent / Adult / Aged / Child / Child, preschool / Humans / Infant / Middle aged / Young adult Country/Region as subject: Europa Language: English Journal: Health Econ Journal subject: Health Services Year: 2021 Document Type: Article Affiliation country: Hec.4208