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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...

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Autores principales: Feenstra, Talitha L, van Baal, Pieter M, Jacobs-van der Bruggen, Monique O, Hoogenveen, Rudolf T, Kommer, Geert-Jan, Baan, Caroline A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
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.
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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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