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The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death
BACKGROUND: We develop a framework for quantifying monetary values associated with changes in disease-specific mortality risk in low- and middle-income countries to help quantify trade-offs involved in investing in mortality reduction due to one disease versus another. METHODS: We monetized the chan...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282406/ https://www.ncbi.nlm.nih.gov/pubmed/34266420 http://dx.doi.org/10.1186/s12916-021-02029-x |
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author | Khadka, Aayush Verguet, Stéphane |
author_facet | Khadka, Aayush Verguet, Stéphane |
author_sort | Khadka, Aayush |
collection | PubMed |
description | BACKGROUND: We develop a framework for quantifying monetary values associated with changes in disease-specific mortality risk in low- and middle-income countries to help quantify trade-offs involved in investing in mortality reduction due to one disease versus another. METHODS: We monetized the changes in mortality risk for communicable and non-communicable diseases (CD and NCD, respectively) between 2017 and 2030 for low-income, lower-middle-income, and upper-middle-income countries (LICs, LMICs, and UMICs, respectively). We modeled three mortality trajectories (“base-case”, “high-performance”, and “low-performance”) using Global Burden of Disease study forecasts and estimated disease-specific mortality risk changes relative to the base-case. We assigned monetary values to changes in mortality risk using value of a statistical life (VSL) methods and conducted multiple sensitivity analyses. RESULTS: In terms of NCDs, the absolute monetary value associated with changing mortality risk was highest for cardiovascular diseases in older age groups. For example, being on the low-performance trajectory relative to the base-case in 2030 was valued at $9100 (95% uncertainty range $6800; $11,400), $28,300 ($24,200; $32,400), and $30,300 ($27,200; $33,300) for females aged 70–74 years in LICs, LMICs, and UMICs, respectively. Changing the mortality rate from the base-case to the high-performance trajectory was associated with high monetary value for CDs as well, especially among younger age groups. Estimates were sensitive to assumptions made in calculating VSL. CONCLUSIONS: Our framework provides a priority setting paradigm to best allocate investments toward the health sector and enables intersectoral comparisons of returns on investments from health interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02029-x. |
format | Online Article Text |
id | pubmed-8282406 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82824062021-07-19 The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death Khadka, Aayush Verguet, Stéphane BMC Med Research Article BACKGROUND: We develop a framework for quantifying monetary values associated with changes in disease-specific mortality risk in low- and middle-income countries to help quantify trade-offs involved in investing in mortality reduction due to one disease versus another. METHODS: We monetized the changes in mortality risk for communicable and non-communicable diseases (CD and NCD, respectively) between 2017 and 2030 for low-income, lower-middle-income, and upper-middle-income countries (LICs, LMICs, and UMICs, respectively). We modeled three mortality trajectories (“base-case”, “high-performance”, and “low-performance”) using Global Burden of Disease study forecasts and estimated disease-specific mortality risk changes relative to the base-case. We assigned monetary values to changes in mortality risk using value of a statistical life (VSL) methods and conducted multiple sensitivity analyses. RESULTS: In terms of NCDs, the absolute monetary value associated with changing mortality risk was highest for cardiovascular diseases in older age groups. For example, being on the low-performance trajectory relative to the base-case in 2030 was valued at $9100 (95% uncertainty range $6800; $11,400), $28,300 ($24,200; $32,400), and $30,300 ($27,200; $33,300) for females aged 70–74 years in LICs, LMICs, and UMICs, respectively. Changing the mortality rate from the base-case to the high-performance trajectory was associated with high monetary value for CDs as well, especially among younger age groups. Estimates were sensitive to assumptions made in calculating VSL. CONCLUSIONS: Our framework provides a priority setting paradigm to best allocate investments toward the health sector and enables intersectoral comparisons of returns on investments from health interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02029-x. BioMed Central 2021-07-16 /pmc/articles/PMC8282406/ /pubmed/34266420 http://dx.doi.org/10.1186/s12916-021-02029-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Khadka, Aayush Verguet, Stéphane The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
title | The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
title_full | The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
title_fullStr | The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
title_full_unstemmed | The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
title_short | The economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
title_sort | economic value of changing mortality risk in low- and middle-income countries: a systematic breakdown by cause of death |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8282406/ https://www.ncbi.nlm.nih.gov/pubmed/34266420 http://dx.doi.org/10.1186/s12916-021-02029-x |
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