Cargando…

Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates

BACKGROUND: In “Global health 2035: a world converging within a generation,” The Lancet Commission on Investing in Health (CIH) adds the value of increased life expectancy to the value of growth in gross domestic product (GDP) when assessing national well–being. To value changes in life expectancy,...

Descripción completa

Detalles Bibliográficos
Autores principales: Chang, Angela Y, Robinson, Lisa A, Hammitt, James K, Resch, Stephen C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Edinburgh University Global Health Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370212/
https://www.ncbi.nlm.nih.gov/pubmed/28400950
http://dx.doi.org/10.7189/jogh.07.010401
_version_ 1782518198532308992
author Chang, Angela Y
Robinson, Lisa A
Hammitt, James K
Resch, Stephen C
author_facet Chang, Angela Y
Robinson, Lisa A
Hammitt, James K
Resch, Stephen C
author_sort Chang, Angela Y
collection PubMed
description BACKGROUND: In “Global health 2035: a world converging within a generation,” The Lancet Commission on Investing in Health (CIH) adds the value of increased life expectancy to the value of growth in gross domestic product (GDP) when assessing national well–being. To value changes in life expectancy, the CIH relies on several strong assumptions to bridge gaps in the empirical research. It finds that the value of a life year (VLY) averages 2.3 times GDP per capita for low– and middle–income countries (LMICs) assuming the changes in life expectancy they experienced from 2000 to 2011 are permanent. METHODS: The CIH VLY estimate is based on a specific shift in population life expectancy and includes a 50 percent reduction for children ages 0 through 4. We investigate the sensitivity of this estimate to the underlying assumptions, including the effects of income, age, and life expectancy, and the sequencing of the calculations. FINDINGS: We find that reasonable alternative assumptions regarding the effects of income, age, and life expectancy may reduce the VLY estimates to 0.2 to 2.1 times GDP per capita for LMICs. Removing the reduction for young children increases the VLY, while reversing the sequencing of the calculations reduces the VLY. CONCLUSION: Because the VLY is sensitive to the underlying assumptions, analysts interested in applying this approach elsewhere must tailor the estimates to the impacts of the intervention and the characteristics of the affected population. Analysts should test the sensitivity of their conclusions to reasonable alternative assumptions. More work is needed to investigate options for improving the approach.
format Online
Article
Text
id pubmed-5370212
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Edinburgh University Global Health Society
record_format MEDLINE/PubMed
spelling pubmed-53702122017-04-11 Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates Chang, Angela Y Robinson, Lisa A Hammitt, James K Resch, Stephen C J Glob Health Articles BACKGROUND: In “Global health 2035: a world converging within a generation,” The Lancet Commission on Investing in Health (CIH) adds the value of increased life expectancy to the value of growth in gross domestic product (GDP) when assessing national well–being. To value changes in life expectancy, the CIH relies on several strong assumptions to bridge gaps in the empirical research. It finds that the value of a life year (VLY) averages 2.3 times GDP per capita for low– and middle–income countries (LMICs) assuming the changes in life expectancy they experienced from 2000 to 2011 are permanent. METHODS: The CIH VLY estimate is based on a specific shift in population life expectancy and includes a 50 percent reduction for children ages 0 through 4. We investigate the sensitivity of this estimate to the underlying assumptions, including the effects of income, age, and life expectancy, and the sequencing of the calculations. FINDINGS: We find that reasonable alternative assumptions regarding the effects of income, age, and life expectancy may reduce the VLY estimates to 0.2 to 2.1 times GDP per capita for LMICs. Removing the reduction for young children increases the VLY, while reversing the sequencing of the calculations reduces the VLY. CONCLUSION: Because the VLY is sensitive to the underlying assumptions, analysts interested in applying this approach elsewhere must tailor the estimates to the impacts of the intervention and the characteristics of the affected population. Analysts should test the sensitivity of their conclusions to reasonable alternative assumptions. More work is needed to investigate options for improving the approach. Edinburgh University Global Health Society 2017-06 2017-02-23 /pmc/articles/PMC5370212/ /pubmed/28400950 http://dx.doi.org/10.7189/jogh.07.010401 Text en Copyright © 2017 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Chang, Angela Y
Robinson, Lisa A
Hammitt, James K
Resch, Stephen C
Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates
title Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates
title_full Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates
title_fullStr Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates
title_full_unstemmed Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates
title_short Economics in “Global Health 2035”: a sensitivity analysis of the value of a life year estimates
title_sort economics in “global health 2035”: a sensitivity analysis of the value of a life year estimates
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5370212/
https://www.ncbi.nlm.nih.gov/pubmed/28400950
http://dx.doi.org/10.7189/jogh.07.010401
work_keys_str_mv AT changangelay economicsinglobalhealth2035asensitivityanalysisofthevalueofalifeyearestimates
AT robinsonlisaa economicsinglobalhealth2035asensitivityanalysisofthevalueofalifeyearestimates
AT hammittjamesk economicsinglobalhealth2035asensitivityanalysisofthevalueofalifeyearestimates
AT reschstephenc economicsinglobalhealth2035asensitivityanalysisofthevalueofalifeyearestimates