Publication Details

AFRICAN RESEARCH NEXUS

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economics, econometrics and finance

Modelling the costs of care of hypertension in patients with metabolic syndrome and its consequences, in Germany, Spain and Italy

European Journal of Health Economics, Volume 12, No. 3, Year 2011

The presence of metabolic syndrome in patients with hypertension significantly increases the risk of cardiovascular disease, type 2 diabetes and mortality. Our aim is to estimate the economic burden to the health service of metabolic syndrome (MetS) in patients with hypertension and its consequences, in three European countries in 2008, and to forecast future economic burden in 2020 using projected demographic estimates and assumptions around the growth of MetS. An age-, sex- and risk group-structured prevalence-based cost of illness model was developed using the United States Adult Treatment Panel III of the National Cholesterol Education Program criteria to define MetS. Data sources included published information and public use databases on disease prevalence, incidence of cardiovascular events, prevalence of type 2 diabetes, treatment patterns and cost of management in Germany, Spain and Italy. The economic burden to the health service of MetS in patients with hypertension has been estimated at 24,427 €, 1,900 € and 4,877 € million in Germany, Spain and Italy, and is forecast to rise by 59, 179 and 157%, respectively, by 2020. The largest components of costs included the management of prevalent type 2 diabetes and incident cardiovascular events. Mean annual costs per hypertensive patient were around three-fold higher in subjects with MetS compared to those without and rose incrementally with the additional number of MetS components present. In conclusion, the presence of MetS in patients with hypertension significantly inflates economic burden, and costs are likely to increase in the future due to an aging population and an increase in the prevalence of components of MetS. © 2010 Springer-Verlag.
Statistics
Citations: 17
Authors: 8
Affiliations: 8
Identifiers
Research Areas
Health System And Policy
Noncommunicable Diseases
Study Design
Cross Sectional Study
Cohort Study