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Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints
BACKGROUND: To support public health policy, information on the burden of disease is essential. In recent years, the Disability-Adjusted Life Year (DALY) has emerged as the most important summary measure of public health. DALYs quantify the number of healthy life years lost due to morbidity and mort...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4246467/ https://www.ncbi.nlm.nih.gov/pubmed/25416547 http://dx.doi.org/10.1186/1471-2458-14-1196 |
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author | Devleesschauwer, Brecht Maertens de Noordhout, Charline Smit, G Suzanne A Duchateau, Luc Dorny, Pierre Stein, Claudia Van Oyen, Herman Speybroeck, Niko |
author_facet | Devleesschauwer, Brecht Maertens de Noordhout, Charline Smit, G Suzanne A Duchateau, Luc Dorny, Pierre Stein, Claudia Van Oyen, Herman Speybroeck, Niko |
author_sort | Devleesschauwer, Brecht |
collection | PubMed |
description | BACKGROUND: To support public health policy, information on the burden of disease is essential. In recent years, the Disability-Adjusted Life Year (DALY) has emerged as the most important summary measure of public health. DALYs quantify the number of healthy life years lost due to morbidity and mortality, and thereby facilitate the comparison of the relative impact of diseases and risk factors and the monitoring of public health over time. DISCUSSION: Evidence on the disease burden in Belgium, expressed as DALYs, is available from international and national efforts. Non-communicable diseases and injuries dominate the overall disease burden, while dietary risks, tobacco smoking, and high body-mass index are the major risk factors for ill health. Notwithstanding these efforts, if DALYs were to be used for guiding health policy, a more systematic approach is required. By integrating DALYs in the current data generating systems, comparable estimates, rooted in recent local data, can be produced. This might however be hampered by several restrictions, such as limited harmonization, timeliness, inclusiveness and accessibility of current databases. SUMMARY: Routine quantification of disease burden in terms of DALYs would provide a significant added value to evidence-based public health policy in Belgium, although some hurdles need to be cleared. |
format | Online Article Text |
id | pubmed-4246467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42464672014-11-29 Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints Devleesschauwer, Brecht Maertens de Noordhout, Charline Smit, G Suzanne A Duchateau, Luc Dorny, Pierre Stein, Claudia Van Oyen, Herman Speybroeck, Niko BMC Public Health Debate BACKGROUND: To support public health policy, information on the burden of disease is essential. In recent years, the Disability-Adjusted Life Year (DALY) has emerged as the most important summary measure of public health. DALYs quantify the number of healthy life years lost due to morbidity and mortality, and thereby facilitate the comparison of the relative impact of diseases and risk factors and the monitoring of public health over time. DISCUSSION: Evidence on the disease burden in Belgium, expressed as DALYs, is available from international and national efforts. Non-communicable diseases and injuries dominate the overall disease burden, while dietary risks, tobacco smoking, and high body-mass index are the major risk factors for ill health. Notwithstanding these efforts, if DALYs were to be used for guiding health policy, a more systematic approach is required. By integrating DALYs in the current data generating systems, comparable estimates, rooted in recent local data, can be produced. This might however be hampered by several restrictions, such as limited harmonization, timeliness, inclusiveness and accessibility of current databases. SUMMARY: Routine quantification of disease burden in terms of DALYs would provide a significant added value to evidence-based public health policy in Belgium, although some hurdles need to be cleared. BioMed Central 2014-11-21 /pmc/articles/PMC4246467/ /pubmed/25416547 http://dx.doi.org/10.1186/1471-2458-14-1196 Text en © Devleesschauwer et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 | Debate Devleesschauwer, Brecht Maertens de Noordhout, Charline Smit, G Suzanne A Duchateau, Luc Dorny, Pierre Stein, Claudia Van Oyen, Herman Speybroeck, Niko Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints |
title | Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints |
title_full | Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints |
title_fullStr | Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints |
title_full_unstemmed | Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints |
title_short | Quantifying burden of disease to support public health policy in Belgium: opportunities and constraints |
title_sort | quantifying burden of disease to support public health policy in belgium: opportunities and constraints |
topic | Debate |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4246467/ https://www.ncbi.nlm.nih.gov/pubmed/25416547 http://dx.doi.org/10.1186/1471-2458-14-1196 |
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