Literature DB >> 15185385

Aging and aggregate costs of medical care: conceptual and policy issues.

Dov Chernichovsky1, Sara Markowitz.   

Abstract

The conventional wisdom says that because the cost of health care for the aged is more than that of the young at any time, there is a positive relationship between the aging or higher life expectancy of the population and aggregate health care spending. It is difficult, however, to find evidence to support this argument. We present a simple framework that shows how aging of the population may not necessarily increase the total cost of medical care over time or be observed across nations. This follows because numerous other factors that change with aging affect cost of care in ways that are not age-neutral. Such factors include age-specific shifts in morbidity and mortality, growth in income and insurance coverage, rising levels of education and changing technology. Consequently, the relative medical costs of the aged may indeed increase, at least for demographic reasons. Simultaneously, however, the costs of the young may decrease for the same reasons. The Israeli experience, used as a basis for a cursory empirical discussion of the issues, supports the line of reasoning presented in the paper. Copyright 2003 John Wiley & Sons, Ltd.

Mesh:

Year:  2004        PMID: 15185385     DOI: 10.1002/hec.844

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  3 in total

1.  Aggregation and the measurement of health care costs.

Authors:  Thomas E Getzen
Journal:  Health Serv Res       Date:  2006-10       Impact factor: 3.402

2.  The effect of change in educational composition on population ageing.

Authors:  Ilija Batljan; Mats Thorslund
Journal:  Eur J Ageing       Date:  2009-07-30

3.  A classification scheme for analyzing mobile apps used to prevent and manage disease in late life.

Authors:  Aiguo Wang; Ning An; Xin Lu; Hongtu Chen; Changqun Li; Sue Levkoff
Journal:  JMIR Mhealth Uhealth       Date:  2014-02-17       Impact factor: 4.773

  3 in total

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