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Identification of differences in health impact modelling of salt reduction
We examined whether specific input data and assumptions explain outcome differences in otherwise comparable health impact assessment models. Seven population health models estimating the impact of salt reduction on morbidity and mortality in western populations were compared on four sets of key feat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705127/ https://www.ncbi.nlm.nih.gov/pubmed/29182636 http://dx.doi.org/10.1371/journal.pone.0186760 |
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author | Hendriksen, Marieke A. H. Geleijnse, Johanna M. van Raaij, Joop M. A. Cappuccio, Francesco P. Cobiac, Linda C. Scarborough, Peter Nusselder, Wilma J. Jaccard, Abbygail Boshuizen, Hendriek C. |
author_facet | Hendriksen, Marieke A. H. Geleijnse, Johanna M. van Raaij, Joop M. A. Cappuccio, Francesco P. Cobiac, Linda C. Scarborough, Peter Nusselder, Wilma J. Jaccard, Abbygail Boshuizen, Hendriek C. |
author_sort | Hendriksen, Marieke A. H. |
collection | PubMed |
description | We examined whether specific input data and assumptions explain outcome differences in otherwise comparable health impact assessment models. Seven population health models estimating the impact of salt reduction on morbidity and mortality in western populations were compared on four sets of key features, their underlying assumptions and input data. Next, assumptions and input data were varied one by one in a default approach (the DYNAMO-HIA model) to examine how it influences the estimated health impact. Major differences in outcome were related to the size and shape of the dose-response relation between salt and blood pressure and blood pressure and disease. Modifying the effect sizes in the salt to health association resulted in the largest change in health impact estimates (33% lower), whereas other changes had less influence. Differences in health impact assessment model structure and input data may affect the health impact estimate. Therefore, clearly defined assumptions and transparent reporting for different models is crucial. However, the estimated impact of salt reduction was substantial in all of the models used, emphasizing the need for public health actions. |
format | Online Article Text |
id | pubmed-5705127 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57051272017-12-08 Identification of differences in health impact modelling of salt reduction Hendriksen, Marieke A. H. Geleijnse, Johanna M. van Raaij, Joop M. A. Cappuccio, Francesco P. Cobiac, Linda C. Scarborough, Peter Nusselder, Wilma J. Jaccard, Abbygail Boshuizen, Hendriek C. PLoS One Research Article We examined whether specific input data and assumptions explain outcome differences in otherwise comparable health impact assessment models. Seven population health models estimating the impact of salt reduction on morbidity and mortality in western populations were compared on four sets of key features, their underlying assumptions and input data. Next, assumptions and input data were varied one by one in a default approach (the DYNAMO-HIA model) to examine how it influences the estimated health impact. Major differences in outcome were related to the size and shape of the dose-response relation between salt and blood pressure and blood pressure and disease. Modifying the effect sizes in the salt to health association resulted in the largest change in health impact estimates (33% lower), whereas other changes had less influence. Differences in health impact assessment model structure and input data may affect the health impact estimate. Therefore, clearly defined assumptions and transparent reporting for different models is crucial. However, the estimated impact of salt reduction was substantial in all of the models used, emphasizing the need for public health actions. Public Library of Science 2017-11-28 /pmc/articles/PMC5705127/ /pubmed/29182636 http://dx.doi.org/10.1371/journal.pone.0186760 Text en © 2017 Hendriksen et al http://creativecommons.org/licenses/by/4.0/ 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 author and source are credited. |
spellingShingle | Research Article Hendriksen, Marieke A. H. Geleijnse, Johanna M. van Raaij, Joop M. A. Cappuccio, Francesco P. Cobiac, Linda C. Scarborough, Peter Nusselder, Wilma J. Jaccard, Abbygail Boshuizen, Hendriek C. Identification of differences in health impact modelling of salt reduction |
title | Identification of differences in health impact modelling of salt reduction |
title_full | Identification of differences in health impact modelling of salt reduction |
title_fullStr | Identification of differences in health impact modelling of salt reduction |
title_full_unstemmed | Identification of differences in health impact modelling of salt reduction |
title_short | Identification of differences in health impact modelling of salt reduction |
title_sort | identification of differences in health impact modelling of salt reduction |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5705127/ https://www.ncbi.nlm.nih.gov/pubmed/29182636 http://dx.doi.org/10.1371/journal.pone.0186760 |
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