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Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation

Calculation of costs and the Burden of Disease (BoD) is useful in developing resource allocation and prioritization strategies in public and environmental health. While useful, the Disability-Adjusted Life Year (DALY) metric disregards subclinical dysfunctions, adheres to stringent causal criteria,...

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Autores principales: Grandjean, Philippe, Bellanger, Martine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715994/
https://www.ncbi.nlm.nih.gov/pubmed/29202828
http://dx.doi.org/10.1186/s12940-017-0340-3
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author Grandjean, Philippe
Bellanger, Martine
author_facet Grandjean, Philippe
Bellanger, Martine
author_sort Grandjean, Philippe
collection PubMed
description Calculation of costs and the Burden of Disease (BoD) is useful in developing resource allocation and prioritization strategies in public and environmental health. While useful, the Disability-Adjusted Life Year (DALY) metric disregards subclinical dysfunctions, adheres to stringent causal criteria, and is hampered by gaps in environmental exposure data, especially from industrializing countries. For these reasons, a recently calculated environmental BoD of 5.18% of the total DALYs is likely underestimated. We combined and extended cost calculations for exposures to environmental chemicals, including neurotoxicants, air pollution, and endocrine disrupting chemicals, where sufficient data were available to determine dose-dependent adverse effects. Environmental exposure information allowed cost estimates for the U.S. and the EU, for OECD countries, though less comprehensive for industrializing countries. As a complement to these health economic estimations, we used attributable risk valuations from expert elicitations to as a third approach to assessing the environmental BoD. For comparison of the different estimates, we used country-specific monetary values of each DALY. The main limitation of DALY calculations is that they are available for few environmental chemicals and primarily based on mortality and impact and duration of clinical morbidity, while less serious conditions are mostly disregarded. Our economic estimates based on available exposure information and dose-response data on environmental risk factors need to be seen in conjunction with other assessments of the total cost for these environmental risk factors, as our estimate overlaps only slightly with the previously estimated environmental DALY costs and crude calculations relying on attributable risks for environmental risk factors. The three approaches complement one another and suggest that environmental chemical exposures contribute costs that may exceed 10% of the global domestic product and that current DALY calculations substantially underestimate the economic costs associated with preventable environmental risk factors. By including toxicological and epidemiological information and data on exposure distributions, more representative results can be obtained from utilizing health economic analyses of the adverse effects associated with environmental chemicals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-017-0340-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-57159942017-12-08 Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation Grandjean, Philippe Bellanger, Martine Environ Health Review Calculation of costs and the Burden of Disease (BoD) is useful in developing resource allocation and prioritization strategies in public and environmental health. While useful, the Disability-Adjusted Life Year (DALY) metric disregards subclinical dysfunctions, adheres to stringent causal criteria, and is hampered by gaps in environmental exposure data, especially from industrializing countries. For these reasons, a recently calculated environmental BoD of 5.18% of the total DALYs is likely underestimated. We combined and extended cost calculations for exposures to environmental chemicals, including neurotoxicants, air pollution, and endocrine disrupting chemicals, where sufficient data were available to determine dose-dependent adverse effects. Environmental exposure information allowed cost estimates for the U.S. and the EU, for OECD countries, though less comprehensive for industrializing countries. As a complement to these health economic estimations, we used attributable risk valuations from expert elicitations to as a third approach to assessing the environmental BoD. For comparison of the different estimates, we used country-specific monetary values of each DALY. The main limitation of DALY calculations is that they are available for few environmental chemicals and primarily based on mortality and impact and duration of clinical morbidity, while less serious conditions are mostly disregarded. Our economic estimates based on available exposure information and dose-response data on environmental risk factors need to be seen in conjunction with other assessments of the total cost for these environmental risk factors, as our estimate overlaps only slightly with the previously estimated environmental DALY costs and crude calculations relying on attributable risks for environmental risk factors. The three approaches complement one another and suggest that environmental chemical exposures contribute costs that may exceed 10% of the global domestic product and that current DALY calculations substantially underestimate the economic costs associated with preventable environmental risk factors. By including toxicological and epidemiological information and data on exposure distributions, more representative results can be obtained from utilizing health economic analyses of the adverse effects associated with environmental chemicals. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12940-017-0340-3) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-05 /pmc/articles/PMC5715994/ /pubmed/29202828 http://dx.doi.org/10.1186/s12940-017-0340-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Grandjean, Philippe
Bellanger, Martine
Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
title Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
title_full Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
title_fullStr Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
title_full_unstemmed Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
title_short Calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
title_sort calculation of the disease burden associated with environmental chemical exposures: application of toxicological information in health economic estimation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715994/
https://www.ncbi.nlm.nih.gov/pubmed/29202828
http://dx.doi.org/10.1186/s12940-017-0340-3
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