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Regional variation in the allocation of development assistance for health

BACKGROUND: The Global Burden of Disease (GBD) 2010 Study has published disability-adjusted life year (DALY) data at both regional and country levels from 1990 to 2010. Concurrently, the Institute for Health Metrics and Evaluation (IHME) has published estimates of development assistance for health (...

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Autores principales: Hanlon, Michael, Graves, Casey M, Brooks, Benjamin PC, Haakenstad, Annie, Lavado, Rouselle, Leach-Kemon, Katherine, Dieleman, Joseph L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936884/
https://www.ncbi.nlm.nih.gov/pubmed/24555735
http://dx.doi.org/10.1186/1744-8603-10-8
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author Hanlon, Michael
Graves, Casey M
Brooks, Benjamin PC
Haakenstad, Annie
Lavado, Rouselle
Leach-Kemon, Katherine
Dieleman, Joseph L
author_facet Hanlon, Michael
Graves, Casey M
Brooks, Benjamin PC
Haakenstad, Annie
Lavado, Rouselle
Leach-Kemon, Katherine
Dieleman, Joseph L
author_sort Hanlon, Michael
collection PubMed
description BACKGROUND: The Global Burden of Disease (GBD) 2010 Study has published disability-adjusted life year (DALY) data at both regional and country levels from 1990 to 2010. Concurrently, the Institute for Health Metrics and Evaluation (IHME) has published estimates of development assistance for health (DAH) at the country-disease level for this same period of time. FINDINGS: We use disease burden data from the GBD 2010 study and financing data from IHME to calculate ratios of DAH to DALYs across regions and diseases. We examine the magnitude of these ratios and how they have varied over time. We hypothesize that the variation in this ratio across regions would be relatively small. However, from 2006 to 2010, we find there was considerable variation in the levels of DAH per DALY across regions. For total funding, the relative standard deviation (standard deviation as a percentage of the mean) across regions was 50%. For DAH specific to HIV/AIDS, malaria and tuberculosis, the relative standard deviations were 50%, 200% and 60%, respectively. While these deviations are high, with the exception of malaria, they have decreased since the 1990s. CONCLUSIONS: There are no evident explanations for so much variation in funding across regions, especially holding the purpose of the funding constant. This suggests donors’ allocation processes have not been particularly sensitive to disease burdens. To maximize health gains, donors should explicitly incorporate new disease burden data along with the relative costs and efficacy of interventions into their allocation process.
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spelling pubmed-39368842014-02-28 Regional variation in the allocation of development assistance for health Hanlon, Michael Graves, Casey M Brooks, Benjamin PC Haakenstad, Annie Lavado, Rouselle Leach-Kemon, Katherine Dieleman, Joseph L Global Health Short Report BACKGROUND: The Global Burden of Disease (GBD) 2010 Study has published disability-adjusted life year (DALY) data at both regional and country levels from 1990 to 2010. Concurrently, the Institute for Health Metrics and Evaluation (IHME) has published estimates of development assistance for health (DAH) at the country-disease level for this same period of time. FINDINGS: We use disease burden data from the GBD 2010 study and financing data from IHME to calculate ratios of DAH to DALYs across regions and diseases. We examine the magnitude of these ratios and how they have varied over time. We hypothesize that the variation in this ratio across regions would be relatively small. However, from 2006 to 2010, we find there was considerable variation in the levels of DAH per DALY across regions. For total funding, the relative standard deviation (standard deviation as a percentage of the mean) across regions was 50%. For DAH specific to HIV/AIDS, malaria and tuberculosis, the relative standard deviations were 50%, 200% and 60%, respectively. While these deviations are high, with the exception of malaria, they have decreased since the 1990s. CONCLUSIONS: There are no evident explanations for so much variation in funding across regions, especially holding the purpose of the funding constant. This suggests donors’ allocation processes have not been particularly sensitive to disease burdens. To maximize health gains, donors should explicitly incorporate new disease burden data along with the relative costs and efficacy of interventions into their allocation process. BioMed Central 2014-02-20 /pmc/articles/PMC3936884/ /pubmed/24555735 http://dx.doi.org/10.1186/1744-8603-10-8 Text en Copyright © 2014 Hanlon et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Short Report
Hanlon, Michael
Graves, Casey M
Brooks, Benjamin PC
Haakenstad, Annie
Lavado, Rouselle
Leach-Kemon, Katherine
Dieleman, Joseph L
Regional variation in the allocation of development assistance for health
title Regional variation in the allocation of development assistance for health
title_full Regional variation in the allocation of development assistance for health
title_fullStr Regional variation in the allocation of development assistance for health
title_full_unstemmed Regional variation in the allocation of development assistance for health
title_short Regional variation in the allocation of development assistance for health
title_sort regional variation in the allocation of development assistance for health
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936884/
https://www.ncbi.nlm.nih.gov/pubmed/24555735
http://dx.doi.org/10.1186/1744-8603-10-8
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