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Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention
BACKGROUND: Diabetes mellitus brings an increased risk for cardiovascular complications and patients profit from prevention. This prevention also suits the general population. The question arises what is a better strategy: target the general population or diabetes patients. METHODS: A mathematical p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200148/ https://www.ncbi.nlm.nih.gov/pubmed/21974836 http://dx.doi.org/10.1186/1478-7547-9-14 |
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author | Feenstra, Talitha L van Baal, Pieter M Jacobs-van der Bruggen, Monique O Hoogenveen, Rudolf T Kommer, Geert-Jan Baan, Caroline A |
author_facet | Feenstra, Talitha L van Baal, Pieter M Jacobs-van der Bruggen, Monique O Hoogenveen, Rudolf T Kommer, Geert-Jan Baan, Caroline A |
author_sort | Feenstra, Talitha L |
collection | PubMed |
description | BACKGROUND: Diabetes mellitus brings an increased risk for cardiovascular complications and patients profit from prevention. This prevention also suits the general population. The question arises what is a better strategy: target the general population or diabetes patients. METHODS: A mathematical programming model was developed to calculate optimal allocations for the Dutch population of the following interventions: smoking cessation support, diet and exercise to reduce overweight, statins, and medication to reduce blood pressure. Outcomes were total lifetime health care costs and QALYs. Budget sizes were varied and the division of resources between the general population and diabetes patients was assessed. RESULTS: Full implementation of all interventions resulted in a gain of 560,000 QALY at a cost of €640 per capita, about €12,900 per QALY on average. The large majority of these QALY gains could be obtained at incremental costs below €20,000 per QALY. Low or high budgets (below €9 or above €100 per capita) were predominantly spent in the general population. Moderate budgets were mostly spent in diabetes patients. CONCLUSIONS: Major health gains can be realized efficiently by offering prevention to both the general and the diabetic population. However, a priori setting a specific distribution of resources is suboptimal. Resource allocation models allow accounting for capacity constraints and program size in addition to efficiency. |
format | Online Article Text |
id | pubmed-3200148 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32001482011-10-25 Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention Feenstra, Talitha L van Baal, Pieter M Jacobs-van der Bruggen, Monique O Hoogenveen, Rudolf T Kommer, Geert-Jan Baan, Caroline A Cost Eff Resour Alloc Research BACKGROUND: Diabetes mellitus brings an increased risk for cardiovascular complications and patients profit from prevention. This prevention also suits the general population. The question arises what is a better strategy: target the general population or diabetes patients. METHODS: A mathematical programming model was developed to calculate optimal allocations for the Dutch population of the following interventions: smoking cessation support, diet and exercise to reduce overweight, statins, and medication to reduce blood pressure. Outcomes were total lifetime health care costs and QALYs. Budget sizes were varied and the division of resources between the general population and diabetes patients was assessed. RESULTS: Full implementation of all interventions resulted in a gain of 560,000 QALY at a cost of €640 per capita, about €12,900 per QALY on average. The large majority of these QALY gains could be obtained at incremental costs below €20,000 per QALY. Low or high budgets (below €9 or above €100 per capita) were predominantly spent in the general population. Moderate budgets were mostly spent in diabetes patients. CONCLUSIONS: Major health gains can be realized efficiently by offering prevention to both the general and the diabetic population. However, a priori setting a specific distribution of resources is suboptimal. Resource allocation models allow accounting for capacity constraints and program size in addition to efficiency. BioMed Central 2011-10-06 /pmc/articles/PMC3200148/ /pubmed/21974836 http://dx.doi.org/10.1186/1478-7547-9-14 Text en Copyright ©2011 Feenstra et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Feenstra, Talitha L van Baal, Pieter M Jacobs-van der Bruggen, Monique O Hoogenveen, Rudolf T Kommer, Geert-Jan Baan, Caroline A Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
title | Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
title_full | Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
title_fullStr | Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
title_full_unstemmed | Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
title_short | Targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
title_sort | targeted versus universal prevention. a resource allocation model to prioritize cardiovascular prevention |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3200148/ https://www.ncbi.nlm.nih.gov/pubmed/21974836 http://dx.doi.org/10.1186/1478-7547-9-14 |
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