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

Author:

Briggs Andrew H.1ORCID,Goldstein Daniel A.2ORCID,Kirwin Erin34ORCID,Meacock Rachel4ORCID,Pandya Ankur5,Vanness David J.6ORCID,Wisløff Torbjørn7ORCID

Affiliation:

1. Department of Health Services Research & Policy London School of Hygiene and Tropical Medicine London UK

2. Department of Oncology, Faculty of Medicine Tel Aviv University Tel Aviv Israel

3. Institute of Health Economics Edmonton Alberta Canada

4. Health, Organisation, Policy, and Economics (HOPE) Group School of Health Sciences The University of Manchester Manchester UK

5. Department of Health Policy and Management Harvard T.H. Chan School of Public Health Boston Massachusetts USA

6. Department of Health Policy and Administration Pennsylvania State University Pennsylvania USA

7. Department of Community Medicine UiT ‐ The Arctic University of Norway Tromsø Norway

Publisher

Wiley

Subject

Health Policy

Reference8 articles.

1. The unequal toll of COVID‐19 mortality by age in the United States: Quantifying racial/ethnic disparities;Bassett M. T.;Harvard Centre for Population and Development Studies,2020

2. Janssen B. &Szende A.(2014).Population norms for the EQ‐5D. Chapter 3. InA.Szende B.Janssen &J.Cabases(Eds.) Self‐reported population health: An international perspective based on EQ‐5D.Amsterdam Netherlands:Springer. 978‐94‐007‐7595‐4.

3. The Effects of Diabetes, Hypertension, Asthma, Heart Disease, and Stroke on Quality-Adjusted Life Expectancy

4. COVID-19 – exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study

5. THE COST-EFFECTIVENESS OF USING FINANCIAL INCENTIVES TO IMPROVE PROVIDER QUALITY: A FRAMEWORK AND APPLICATION

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