Literature DB >> 17335933

A national hypertension treatment program in Germany and its estimated impact on costs, life expectancy, and cost-effectiveness.

Afschin Gandjour1, Stephanie Stock.   

Abstract

Almost 15 million Germans may suffer from untreated hypertension. The purpose of this paper is to estimate the cost-effectiveness of a national hypertension treatment program compared to no program. A Markov decision model from the perspective of the statutory health insurance (SHI) was built. All data were taken from secondary sources. The target population consists of hypertensive male and female patients at high or low risk for cardiovascular events at different age groups (40-49, 50-59, and 60-69 years). The analysis shows fairly moderate cost-effectiveness ratios even for low-risk groups (less than 12,000 euros per life year gained). In women at high risk antihypertensive treatment even leads to savings. This suggests that a national hypertension treatment program provides good value for money. Given the considerable costs of the program itself, any savings from avoiding long-term consequences of hypertension are likely to be offset, however.

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Year:  2007        PMID: 17335933     DOI: 10.1016/j.healthpol.2007.01.003

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  15 in total

1.  Reply to comment on Cost of poor adherence to anti-hypertensive therapy in five European country.

Authors:  F S Mennini; Andrea Marcellusi; J M Graf von der Schulenburg; A Gray; P Levy; P Sciattella; M Soro; G Staffiero; J Zeidler; A Maggioni; R E Schmieder
Journal:  Eur J Health Econ       Date:  2015-11

2.  Commentary to: Cost of poor adherence to anti-hypertensive therapy in five European countries.

Authors:  Afschin Gandjour
Journal:  Eur J Health Econ       Date:  2015-11

3.  Cost-effectiveness of a hypertension control intervention in three community health centers in China.

Authors:  Yamin Bai; Yanfang Zhao; Guijing Wang; Huicheng Wang; Kejun Liu; Wenhua Zhao
Journal:  J Prim Care Community Health       Date:  2013-01-07

4.  Cost-effectiveness of a hypertension management programme in an elderly population: a Markov model.

Authors:  Gastón Perman; Emiliano Rossi; Gabriel D Waisman; Cristina Agüero; Claudio D González; Carlos L Pallordet; Silvana Figar; Fernán González Bernaldo de Quirós; Joann Canning; Enrique R Soriano
Journal:  Cost Eff Resour Alloc       Date:  2011-04-05

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

Authors:  Eberhard Wille; Jürgen Scholze; Eduardo Alegria; Claudio Ferri; Sue Langham; Warren Stevens; David Jeffries; Kerstin Uhl-Hochgraeber
Journal:  Eur J Health Econ       Date:  2010-04-20

6.  Epidemiological and economic burden of metabolic syndrome and its consequences in patients with hypertension in Germany, Spain and Italy; a prevalence-based model.

Authors:  Jürgen Scholze; Eduardo Alegria; Claudio Ferri; Sue Langham; Warren Stevens; David Jeffries; Kerstin Uhl-Hochgraeber
Journal:  BMC Public Health       Date:  2010-09-02       Impact factor: 3.295

7.  Cost effectiveness of the German screen-and-treat strategy for postmenopausal osteoporosis.

Authors:  Dirk Mueller; Eva Weyler; Afschin Gandjour
Journal:  Pharmacoeconomics       Date:  2008       Impact factor: 4.981

8.  Cost of clinical events in health economic evaluations in Germany: a systematic review.

Authors:  Monika Scheuringer; Narine Sahakyan; Karl J Krobot; Volker Ulrich
Journal:  Cost Eff Resour Alloc       Date:  2012-05-31

9.  Economic evaluation for first-line anti-hypertensive medicines: applications for the Philippines.

Authors:  Lester Sam Araneta Geroy
Journal:  Cost Eff Resour Alloc       Date:  2012-12-10

10.  Cost-effectiveness of antihypertensive treatment in patients 80 years of age or older in Switzerland: an analysis of the HYVET study from a Swiss perspective.

Authors:  T D Szucs; B Waeber; Y Tomonaga
Journal:  J Hum Hypertens       Date:  2009-06-18       Impact factor: 3.012

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