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Dutch DALYs, current and future burden of disease in the Netherlands
BACKGROUND: The Disability Adjusted Life Year (DALY) is a measure to prioritize in the public health field. In the Netherlands, the DALY estimates are calculated since 1997 and are included in the Public Health Status and Foresight studies which is an input for public health priority setting and pol...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510132/ https://www.ncbi.nlm.nih.gov/pubmed/32983448 http://dx.doi.org/10.1186/s13690-020-00461-8 |
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author | Hilderink, Henk B. M. Plasmans, Marjanne H. D. Poos, M. J. J. C. (René) Eysink, Petra E. D. Gijsen, Ronald |
author_facet | Hilderink, Henk B. M. Plasmans, Marjanne H. D. Poos, M. J. J. C. (René) Eysink, Petra E. D. Gijsen, Ronald |
author_sort | Hilderink, Henk B. M. |
collection | PubMed |
description | BACKGROUND: The Disability Adjusted Life Year (DALY) is a measure to prioritize in the public health field. In the Netherlands, the DALY estimates are calculated since 1997 and are included in the Public Health Status and Foresight studies which is an input for public health priority setting and policy making. Over these 20 years, methodological advancements have been made, including accounting for multimorbidity and performing projections for DALYs into the future. Most important methodological choices and improvements are described and results are presented. METHODS: The DALY is composed of the two components years of life lost (YLL) due to premature mortality and years lost due to disability (YLD). Both the YLL and the YLD are distinguished by sex, age and health condition, allowing aggregation to the ICD-10 chapters. The YLD is corrected for multimorbidity, assuming independent occurrence of health conditions and a multiplicative method for the calculation of combined disability weights. Future DALYs are calculated based on projections for causes of death, and prevalence and incidence. RESULTS: The results for 2015 show that cancer is the ICD-10 chapter with the highest disease burden, followed by cardiovascular diseases and mental disorders. For the individual health conditions, coronary heart disease had the highest disease burden in 2015. In 2040, we see a strong increase in disease burden of dementia and arthrosis. For dementia this is due to a threefold increase in dementia as a cause of death, while for arthrosis this is mainly due to the increase in prevalence. CONCLUSIONS: To calculate the DALY requires a substantial amount of data, methodological choices, interpretation and presentation of results, and the personnel capacity to carry out all these tasks. However, doing a National Burden of Disease study, and especially doing that for more than 20 years, proved to have an enormous additional value in population health information and thus supports better public health policies. |
format | Online Article Text |
id | pubmed-7510132 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75101322020-09-24 Dutch DALYs, current and future burden of disease in the Netherlands Hilderink, Henk B. M. Plasmans, Marjanne H. D. Poos, M. J. J. C. (René) Eysink, Petra E. D. Gijsen, Ronald Arch Public Health Methodology BACKGROUND: The Disability Adjusted Life Year (DALY) is a measure to prioritize in the public health field. In the Netherlands, the DALY estimates are calculated since 1997 and are included in the Public Health Status and Foresight studies which is an input for public health priority setting and policy making. Over these 20 years, methodological advancements have been made, including accounting for multimorbidity and performing projections for DALYs into the future. Most important methodological choices and improvements are described and results are presented. METHODS: The DALY is composed of the two components years of life lost (YLL) due to premature mortality and years lost due to disability (YLD). Both the YLL and the YLD are distinguished by sex, age and health condition, allowing aggregation to the ICD-10 chapters. The YLD is corrected for multimorbidity, assuming independent occurrence of health conditions and a multiplicative method for the calculation of combined disability weights. Future DALYs are calculated based on projections for causes of death, and prevalence and incidence. RESULTS: The results for 2015 show that cancer is the ICD-10 chapter with the highest disease burden, followed by cardiovascular diseases and mental disorders. For the individual health conditions, coronary heart disease had the highest disease burden in 2015. In 2040, we see a strong increase in disease burden of dementia and arthrosis. For dementia this is due to a threefold increase in dementia as a cause of death, while for arthrosis this is mainly due to the increase in prevalence. CONCLUSIONS: To calculate the DALY requires a substantial amount of data, methodological choices, interpretation and presentation of results, and the personnel capacity to carry out all these tasks. However, doing a National Burden of Disease study, and especially doing that for more than 20 years, proved to have an enormous additional value in population health information and thus supports better public health policies. BioMed Central 2020-09-22 /pmc/articles/PMC7510132/ /pubmed/32983448 http://dx.doi.org/10.1186/s13690-020-00461-8 Text en © The Author(s) 2020 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/. 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 in a credit line to the data. |
spellingShingle | Methodology Hilderink, Henk B. M. Plasmans, Marjanne H. D. Poos, M. J. J. C. (René) Eysink, Petra E. D. Gijsen, Ronald Dutch DALYs, current and future burden of disease in the Netherlands |
title | Dutch DALYs, current and future burden of disease in the Netherlands |
title_full | Dutch DALYs, current and future burden of disease in the Netherlands |
title_fullStr | Dutch DALYs, current and future burden of disease in the Netherlands |
title_full_unstemmed | Dutch DALYs, current and future burden of disease in the Netherlands |
title_short | Dutch DALYs, current and future burden of disease in the Netherlands |
title_sort | dutch dalys, current and future burden of disease in the netherlands |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7510132/ https://www.ncbi.nlm.nih.gov/pubmed/32983448 http://dx.doi.org/10.1186/s13690-020-00461-8 |
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