Abstract
One of the not so often mentioned consequence of the population ageing is the expected increase of financial burden of health care systems. Standard and commonly used simple indicators of this burden are usually based on the relation of the number of old (or the oldest old) persons and the number of persons in productive age. The threshold of old age is very often determined as the age of 65 years. But many latest studies propose that due to the permanent increase of life expectancy the definition of the old age threshold should be more likely based on the expected remaining length of life, on the expected time to death. According to some analyses, especially during the last five years of the life of old-age persons the need of health care is relatively high. Possible indicator of the health care financial burden of this type can be e.g. the Health care need adjusted prospective old-age dependency ratio. It is determined as the proportion of the expected number of old age persons having time to death lower than 5 years and the number of persons in productive age where the upper threshold of productive age is defined using not the chronological but the prospective age.
The paper contains the development of the values of the Health care need adjusted prospective old-age dependency ratio and other alternative indicator of ageing in selected European countries in the period since 1950 until 2100. The estimates of future values are based on the latest Eurostat population projection.
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Notes
- 1.
Thanatos was the Greek god of death.
- 2.
Comparing values in 1959 and 2100.
References
Eurostat database. EUROPOP2019 – Population projection at national level (2019–2100) (proj_19n). Available at https://ec.europa.eu/eurostat/data/database. Data downloaded on 15 May 2020.
Fiala, T., & Langhamová, J. (2018). Pension age based on relative prospective age concept. In Applications of mathematics and statistics in economics (AMSE2018) [CD-ROM]. Kutná Hora, 29.08.2018–02.09.2018. Oeconomica Publishing House, 9p. ISBN 978-80-245-2277-7.
Fuchs, V. R. (2019). Though much is taken: Reflections on aging, health, and medical care. Milbank Memorial Fund Quarterly. Health and Society, 62(2), Special Issue: Financing Medicare: Explorations in Controlling Costs and Raising Revenues (Springer, 1984), 142–166. Published by: Wiley on behalf of Milbank Memorial Fund. [cit. 21-03-2019] http://www.jstor.org/stable/3349821
Human Mortality Database. University of California, Berkeley (USA), and Max Planck Institute for Demographic Research (Germany). Available at www.mortality.org or www.humanmortality.de. Data downloaded on 15 May 2020.
Klapková, M., Šídlo, L., & Šprocha, B. (2016). Koncept prospektivního věku a jeho aplikace na vybrané ukazatele demografického stárnutí (The concept of prospective age and its application to selected indicators of demographic ageing). Demografie, 58, 126–141. Český statistický úřad, Praha.
Riffe, T. (2015). The force of mortality by life lived is the force of increment by life left in stationary populations. Demographic Research., 32, 27–834. https://doi.org/10.4054/DemRes.2015.32.29
Ryder, N. B. (1975). Notes on stationary populations. Population Index, 41(1), 3–28. Published by: Office of Population Research. [cit. 19-03-2019] http://www.jstor.org/stable/2734140
Sanderson, W. C., & Scherbov, S. (2005). Average remaining lifetimes can increase as human populations age. Nature, 435(7043), 811–813. https://doi.org/10.1038/nature03593
Sanderson, W. C., & Scherbov, S. (2010). Remeasuring aging. Science, 329(5997), 1287–1288. https://doi.org/10.1126/science.1193647. [cit. 16-03-2019] http://science.sciencemag.org/content/sci/suppl/2010/09/07/329.5997.1287.DC1/pfSandersonSOM.pdf
Sanderson, W. C., & Scherbov, S. (2013). The characteristics approach to the measurement of population aging. Population and Development Review, 39(4), 673–685. https://doi.org/10.1111/j.1728-4457.2013.00633.x [cit. 12-03-2019] http://onlinelibrary.wiley.com/doi/10.1111/j.1728-4457.2013.00633.x/full
Siegel, J. S. (1993). A generation of change: A profile of America‘s older population. Russell Sage Foundation.
Spijker, J., Riffe, T. L. M, & MacInnes, J. (2014) Incorporating time-to-death (TTD) in health–based population ageing measurements. Presented at the new measures of age and ageing, Vienna, 3–5 December 2014.
Šprocha, B. (2019) Niektoré nové prístupy k analýze populačného starnutia (Some new approaches to the analysis of the population ageing). Slovenská štatistika a demografia (Slovak Statistics and Demography), 29(4), 2335.
Zweifel, P., Felder, S., & Meiers, M. (1999). Aging of population and health care expenditure: A red herring. Health Econ, 8, 485–496.
Acknowledgement
This article was supported by the Czech Science Foundation No. GA ČR 19-03984S under the title Economy of Successful Ageing.
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Fiala, T., Langhamrová, J., Vrabcová, J. (2022). Health Care Need Adjusted Prospective Old-age Dependency Ratio in Selected European Countries. In: Skiadas, C.H., Skiadas, C. (eds) Quantitative Methods in Demography. The Springer Series on Demographic Methods and Population Analysis, vol 52. Springer, Cham. https://doi.org/10.1007/978-3-030-93005-9_9
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