Population Ageing and Long-Term Care
Population Ageing and Long-Term Care
The ageing population is one of the greatest challenges for western societies. Demographic trends are mainly driven by two factors: First, relatively low birth rates in most European countries lead to shrinking populations. Second, an increasing life expectancy increases the proportion of older people in a given population. How strongly this affects the demand for long-term care (LTC) depends on the main determinants of the increasing life expectancy. Despite the increasing social and economic role of LTC, our existing knowledge of the determinants of demand for, and supply of, LTC as well as of the macroeconomic importance of LTC is limited.
In one of our research projects (Karlsson et al., 2016) that is related to population ageing we provide evidence on how health care spending evolves in the years before death in Germany. For this we use claims panel data from a big German private health insurer to provide detailed individual-level evidence on medical spending between 2005 and 2011. Our main findings are that health care spending more than doubles between ages 50 and 80 and that spending is very concentrated: the top 10 per cent of all spenders are responsible for 53 per cent of all medical spending in a given year. There is a 50 per cent probability that individual expenditures lie in the same quintile of the distribution after five years, for both very-high- and very-low-cost individuals. Medical spending in the year of death is six times higher for the deceased than for everybody else in that year and accounts for 7.9 per cent of lifetime spending (see Table 1). Females use more office-based care and have higher spending at younger ages, whereas males have higher spending at older ages, particularly for hospital care, and die younger.
Table 1: Spending in the last years of life as a percentage of lifetime spending (Karlsson, Klein, Ziebarth, 2016).
In a closely related study (Karlsson et al., 2017) we measure the composition and magnitude of medical spending in the last years before death for different countries (Denmark, England, France, Germany, Japan, the Netherlands, Taiwan, the United States, and the Canadian province of Quebec). This large comparative study reveals that medical spending at the end of life is high relative to earlier ages but the last twelve months of life only make up a modest share of aggregate spending in all countries. In contrast, the last three years of life account for a large share of medical spending suggesting that high aggregate spending is due not to last-ditch efforts to save lives but to spending on people with chronic conditions. Figure 1 shows for which categories of health care money is spent on in the last three calendar years of life.
Figure 1: Mean per capita medical expenditure (in 2014 US dollars) in 9 countries in the last 3 calendar years of life, by category (Karlsson et al., 2017).
As indicated above, population ageing not only affects medical spending, but can also influence long-term care needs. In Costa-i-Font et al. (2016) we explore how the market for informal care changed during and after the Great Recession in Europe. As informal care (i.e. care by family members, friends, charities) is the most common source of long-term care, and since the Great Recession affected unemployment and net wealth, this is of particular interest. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE) we find evidence of an increase in the availability of informal care after the economic downturn. The result is driven by increased supply of persons not living with the care recipient.
Cooperations and funding:
The implications of population ageing and various funding mechanisms are analysed in several collaborations including Joan Costa-i-Font (London School of Economics), Tor Iversen (University of Oslo), Tobias Klein (Tilburg University), Henning Øien (Oslo Metropolitan University), Ben Rickayzen and David Smith (Cass Business School), Nicolas Ziebarth (Cornell University).
Publications and working papers:
Costa-Font, Joan & Karlsson, Martin & Øien, Henning, 2015. Informal Care and the Great Recession, CEP Discussion Papers dp1360, Centre for Economic Performance, LSE. Link
Mayhew, Les & Karlsson, Martin & Rickayzen, Ben, 2010. The Role of Private Finance in Paying for Long Term Care, Economic Journal, Royal Economic Society, vol. 120(548), pages 478-504, November. Link
Costa-Font, Joan & Karlsson, Martin & van den Berg, Bernard, 2012. Redesigning Long-term Care Finance and Delivery, Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(2), pages 215-219. Link
Øien, Henning & Karlsson, Martin & Iversen, Tor, 2012. The Impact of Financial Incentives on the Composition of Long-term Care in Norway, Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(2), pages 258-274. Link
Karlsson, Martin & Øien, Henning & Iversen, Tor, 2012. Scandinavian Long-Term Care Financing. In: Joan Costa-Font and Christophe Courbage (Hrsg.): Financing Long-Term Care in Europe. Institutions, Markets and Models. Palgrave Macmillan, S. 254-278. doi:10.1057/9780230349193_14 Link
Karlsson, Martin & Klohn, Florian, 2014. Testing the red herring hypothesis on an aggregated level: ageing, time-to-death and care costs for older people in Sweden, The European Journal of Health Economics, Springer; Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(5), pages 533-551, June. Link
Karlsson, Martin & Costa-i-Font, Joan & Øien, Henning, 2016. Careful in the Crisis? Determinants of Older People’s Informal Care Receipt in Crisis-Struck European Countries. In: Health Economics Nr. 25(S2), S. 25-42. doi:10.1002/hec.3385 Link
Karlsson, Martin & Klein, Tobias & Ziebarth, Nicolas, 2016. Skewed, Persistent and High before Death: Medical Spending in Germany. In: Fiscal Studies 37:3-4, S. 527-559. doi:10.1111/j.1475-5890.2016.12108 Link
Karlsson, Martin with 27 co-authors from various countries: End-Of-Life Medical Spending in Last Twelve Months is Lower than Previously Reported. In: Health Affairs (2017). doi:10.1377/hlthaff.2017.0174 Link
Other relevant links: