Cargando…

Disease burden in Belgium in 2040: Methodological considerations

Non-communicable diseases (NCDs) are responsible for a significant proportion of global morbidity and mortality, placing a substantial burden on individuals, communities, and healthcare systems. To effectively plan and allocate resources for prevention and treatment, it is crucial to understand the...

Descripción completa

Detalles Bibliográficos
Autores principales: De Pauw, R, Gorasso, V, Guariguata, L, Devleesschauwer, B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596525/
http://dx.doi.org/10.1093/eurpub/ckad160.652
_version_ 1785125124986372096
author De Pauw, R
Gorasso, V
Guariguata, L
Devleesschauwer, B
author_facet De Pauw, R
Gorasso, V
Guariguata, L
Devleesschauwer, B
author_sort De Pauw, R
collection PubMed
description Non-communicable diseases (NCDs) are responsible for a significant proportion of global morbidity and mortality, placing a substantial burden on individuals, communities, and healthcare systems. To effectively plan and allocate resources for prevention and treatment, it is crucial to understand the future burden of NCDs. Projections of prevalence of NCDs can provide valuable insights into the future burden of disease and inform policy decisions and resource allocation. These projections can include various factors such as changes in demographics, health determinants, and healthcare access. By predicting future trends in disease prevalence, policymakers can better anticipate the demand for health services, identify areas where prevention efforts can be targeted, and allocate resources more effectively. For example, projections can help policymakers understand the potential impact of interventions such as increased physical activity, improved diet, or increased access to healthcare services. Several methods can be used to project future NCD prevalence, such as generalised linear models, age-period-cohort models, and microsimulation models. Each of these methods come with advantages and disadvantages. Based on our current projections using generalised linear models within a Bayesian framework, the burden of most NCDs will increase by 2040. In this presentation, the thought-process will be addressed to implement future projections in Belgium for NCDs. We will also present the initial results of the projections based on generalised linear models. These projections can help to reduce the burden of NCDs on individuals and society, and ultimately improve public health outcomes.
format Online
Article
Text
id pubmed-10596525
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105965252023-10-25 Disease burden in Belgium in 2040: Methodological considerations De Pauw, R Gorasso, V Guariguata, L Devleesschauwer, B Eur J Public Health Parallel Programme Non-communicable diseases (NCDs) are responsible for a significant proportion of global morbidity and mortality, placing a substantial burden on individuals, communities, and healthcare systems. To effectively plan and allocate resources for prevention and treatment, it is crucial to understand the future burden of NCDs. Projections of prevalence of NCDs can provide valuable insights into the future burden of disease and inform policy decisions and resource allocation. These projections can include various factors such as changes in demographics, health determinants, and healthcare access. By predicting future trends in disease prevalence, policymakers can better anticipate the demand for health services, identify areas where prevention efforts can be targeted, and allocate resources more effectively. For example, projections can help policymakers understand the potential impact of interventions such as increased physical activity, improved diet, or increased access to healthcare services. Several methods can be used to project future NCD prevalence, such as generalised linear models, age-period-cohort models, and microsimulation models. Each of these methods come with advantages and disadvantages. Based on our current projections using generalised linear models within a Bayesian framework, the burden of most NCDs will increase by 2040. In this presentation, the thought-process will be addressed to implement future projections in Belgium for NCDs. We will also present the initial results of the projections based on generalised linear models. These projections can help to reduce the burden of NCDs on individuals and society, and ultimately improve public health outcomes. Oxford University Press 2023-10-24 /pmc/articles/PMC10596525/ http://dx.doi.org/10.1093/eurpub/ckad160.652 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the European Public Health Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Parallel Programme
De Pauw, R
Gorasso, V
Guariguata, L
Devleesschauwer, B
Disease burden in Belgium in 2040: Methodological considerations
title Disease burden in Belgium in 2040: Methodological considerations
title_full Disease burden in Belgium in 2040: Methodological considerations
title_fullStr Disease burden in Belgium in 2040: Methodological considerations
title_full_unstemmed Disease burden in Belgium in 2040: Methodological considerations
title_short Disease burden in Belgium in 2040: Methodological considerations
title_sort disease burden in belgium in 2040: methodological considerations
topic Parallel Programme
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10596525/
http://dx.doi.org/10.1093/eurpub/ckad160.652
work_keys_str_mv AT depauwr diseaseburdeninbelgiumin2040methodologicalconsiderations
AT gorassov diseaseburdeninbelgiumin2040methodologicalconsiderations
AT guariguatal diseaseburdeninbelgiumin2040methodologicalconsiderations
AT devleesschauwerb diseaseburdeninbelgiumin2040methodologicalconsiderations