Literature DB >> 15893848

Life expectancy and health care expenditures: a new calculation for Germany using the costs of dying.

Friedrich Breyer1, Stefan Felder.   

Abstract

Some people believe that the impact of population ageing on future health care expenditures will be quite moderate due to the high costs of dying. If not age per se but proximity to death determines the bulk of expenditures, a shift in the mortality risk to higher ages will not affect lifetime health care expenditures as death occurs only once in every life. We attempt to take this effect into account when we calculate the demographic impact on health care expenditures in Germany. From a Swiss data set, we derive age-expenditure profiles for both genders, separately for persons in their last 4 years of life and for survivors, which we apply to the projections of the age structure and mortality rates for the German population between 2002 and 2050 as published by the Statistische Bundesamt. In the extreme case, we assume that morbidity is compressed at the end of life in such a way that a 60-year old in 2050 is as healthy as a 56-year old today if his life expectancy is 4 years higher. We calculate that at constant prices, per-capita health expenditures of Social Health Insurance would rise from 2596 Euro in 2002 to between 2959 Euro and 3102 Euro in 2050 when only the age structure of the population changes and everything else remains constant at the present level, and to between 5232 Euro and 5485 Euro with a technology-driven exogenous cost increase of 1% per annum. A "naïve" projection based only on the age distribution of health care expenditures, but not distinguishing between survivors and decedents, yields values of 3217 Euro and 5688 Euro for 2050, respectively. Thus, the error of excluding the "costs of dying" effect is small compared with the error of underestimating the financial consequences of expanding medical technology.

Entities:  

Mesh:

Year:  2006        PMID: 15893848     DOI: 10.1016/j.healthpol.2005.03.011

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


  23 in total

Review 1.  Telomere dynamics unique to meiotic prophase: formation and significance of the bouquet.

Authors:  H W Bass
Journal:  Cell Mol Life Sci       Date:  2003-11       Impact factor: 9.261

Review 2.  Counting backward to health care's future: using time-to-death modeling to identify changes in end-of-life morbidity and the impact of aging on health care expenditures.

Authors:  Greg Payne; Audrey Laporte; Raisa Deber; Peter C Coyte
Journal:  Milbank Q       Date:  2007-06       Impact factor: 4.911

3.  Driving forces behind increasing cardiovascular drug utilization: a dynamic pharmacoepidemiological model.

Authors:  Helle Wallach Kildemoes; Henrik Støvring; Morten Andersen
Journal:  Br J Clin Pharmacol       Date:  2008-12       Impact factor: 4.335

4.  Willingness to pay for health insurance among the elderly population in Germany.

Authors:  Jens-Oliver Bock; Dirk Heider; Herbert Matschinger; Hermann Brenner; Kai-Uwe Saum; Walter E Haefeli; Hans-Helmut König
Journal:  Eur J Health Econ       Date:  2014-12-20

5.  [Ageing, medical progress and the growth of healthcare expenditure].

Authors:  F Breyer
Journal:  Urologe A       Date:  2013-06       Impact factor: 0.639

6.  Health care expenditures and longevity: is there a Eubie Blake effect?

Authors:  Friedrich Breyer; Normann Lorenz; Thomas Niebel
Journal:  Eur J Health Econ       Date:  2014-03-02

7.  Determinants of Healthcare Expenditure in Economic Cooperation Organization (ECO) Countries: Evidence from Panel Cointegration Tests.

Authors:  Alihussein Samadi; Enayatollah Homaie Rad
Journal:  Int J Health Policy Manag       Date:  2013-05-30

Review 8.  [Is the determination of biomarkers worth its price? Review of the literature taking brain natriuretic peptides (BNP) as an example].

Authors:  Thomas Reinhold; Anne Berghöfer; Stefan N Willich
Journal:  Herz       Date:  2010-01       Impact factor: 1.443

9.  Issues facing the future health care workforce: the importance of demand modelling.

Authors:  Leonie Segal; Tom Bolton
Journal:  Aust New Zealand Health Policy       Date:  2009-05-07

10.  Comparison of the effects of public and private health expenditures on the health status: a panel data analysis in eastern mediterranean countries.

Authors:  Enayatollah Homaie Rad; Sajad Vahedi; Abedin Teimourizad; Firooz Esmaeilzadeh; Mohamad Hadian; Amin Torabi Pour
Journal:  Int J Health Policy Manag       Date:  2013-07-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.