Medical innovation and age-specific trends in health care utilization: Findings and implications
Health care utilization is expected to rise in the coming decades. Not only will the aggregate need for health care grow by changing demographics, so too will per capita utilization. It has been suggested that trends in health care utilization may be age-specific. In this paper, age-specific trends in health care utilization are presented for different health care sectors in the Netherlands, for the period 1981–2009. For the hospital sector we also explore the link between these trends and the state of medical technology. Using aggregated data from a Dutch health survey and a nationwide hospital register, regression analysis was used to examine age-specific trends in the probability of utilizing health care. To determine the influence of medical technology, the growth in age-specific probabilities of hospital care was regressed on the number of medical patents while adjusting for confounders related to demographics, health status, supply and institutional factors. The findings suggest that for most health care sectors, the trend in the probability of health care utilization is highest for ages 65 and up. Larger advances in medical technology are found to be significantly associated with a higher growth of hospitalization probability, particularly for the higher ages. Age-specific trends will raise questions on the sustainability of intergenerational solidarity in health care, as solidarity will not only be strained by the ageing population, but also might find itself under additional pressure as the gap in health care utilization between elderly and non-elderly grows over time. For hospital care utilization, this process might well be accelerated by advances in medical technology.
Volume (Year): 74 (2012)
Issue (Month): 2 ()
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- van de Vijsel, Aart R. & Engelfriet, Peter M. & Westert, Gert P., 2011. "Rendering hospital budgets volume based and open ended to reduce waiting lists: Does it work?," Health Policy, Elsevier, vol. 100(1), pages 60-70, April.
- Jörn-Steffen Pischke & Johannes Velling, 1997. "Employment Effects Of Immigration To Germany: An Analysis Based On Local Labor Markets," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 594-604, November.
- Edgar A. Peden & Mark S. Freeland, 1998. "Insurance effects on US medical spending (1960-1993)," Health Economics, John Wiley & Sons, Ltd., vol. 7(8), pages 671-687.
- Stasinopoulos, D. Mikis & Rigby, Robert A., 2007. "Generalized Additive Models for Location Scale and Shape (GAMLSS) in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i07).
- Polder, Johan J. & Barendregt, Jan J. & van Oers, Hans, 2006. "Health care costs in the last year of life--The Dutch experience," Social Science & Medicine, Elsevier, vol. 63(7), pages 1720-1731, October.
- Buchner, Florian & Wasem, Jürgen, 2004.
""Steeping" Of Health Expenditure Profiles,"
139, University of Duisburg-Essen, Institute of Business and Economic Studie (IBES).
- Florian Buchner & Jürgen Wasem, 2006. "“Steeping” of Health Expenditure Profiles," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan, vol. 31(4), pages 581-599, October.
- Peter Zweifel & Lukas Steinmann & Patrick Eugster, 2005. "The Sisyphus Syndrome in Health Revisited," International Journal of Health Care Finance and Economics, Springer, vol. 5(2), pages 127-145, June.
- Getzen, Thomas E., 2000. "Health care is an individual necessity and a national luxury: applying multilevel decision models to the analysis of health care expenditures," Journal of Health Economics, Elsevier, vol. 19(2), pages 259-270, March.
- Meena Seshamani & Alastair Gray, 2004. "Ageing and health-care expenditure: the red herring argument revisited," Health Economics, John Wiley & Sons, Ltd., vol. 13(4), pages 303-314.
- McGuire, Thomas G. & Pauly, Mark V., 1991. "Physician response to fee changes with multiple payers," Journal of Health Economics, Elsevier, vol. 10(4), pages 385-410.
- Felder, Stefan & Werblow, Andreas, 2008. "Do the age profiles of health care expenditure really steepen over time? New evidence from Swiss cantons," Dresden Discussion Paper Series in Economics 05/08, Dresden University of Technology, Faculty of Business and Economics, Department of Economics.
- Peter Zweifel & Stefan Felder & Markus Meiers, 1999. "Ageing of population and health care expenditure: a red herring?," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 485-496.
- Charles I. Jones, 2002. "Why Have Health Expenditures as a Share fo GDP Risen So Much?," NBER Working Papers 9325, National Bureau of Economic Research, Inc.
- Brigitte Dormont & Michel Grignon & Hélène Huber, 2006.
"Health expenditure growth : reassessing the threat of ageing,"
- Brigitte Dormont & Michel Grignon & Hélène Huber, 2006. "Health expenditure growth: reassessing the threat of ageing," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 947-963.
- Thomas G. McGuire & Mark V. Pauly, 1991. "Physician Response to Fee Changes with Multiple Payers," Papers 0015, Boston University - Industry Studies Programme.
- Rizzo, John A. & Blumenthal, David, 1994. "Physician labor supply: Do income effects matter?," Journal of Health Economics, Elsevier, vol. 13(4), pages 433-453.
- Albert Wong & Pieter H. M. van Baal & Hendriek C. Boshuizen & Johan J. Polder, 2011. "Exploring the influence of proximity to death on disease‐specific hospital expenditures: a carpaccio of red herrings," Health Economics, John Wiley & Sons, Ltd., vol. 20(4), pages 379-400, April.
- Stefan Felder & Andreas Werblow, 2008. "Does the Age Profile of Health Care Expenditure Really Steepen over Time? New Evidence from Swiss Cantons," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan, vol. 33(4), pages 710-727, October.
- Okunade, Albert A. & Murthy, Vasudeva N. R., 2002. "Technology as a 'major driver' of health care costs: a cointegration analysis of the Newhouse conjecture," Journal of Health Economics, Elsevier, vol. 21(1), pages 147-159, January.
- Folmer, Cees & Westerhout, Ed, 2008. "Financing medical specialist services in The Netherlands: Welfare implications of imperfect agency," Economic Modelling, Elsevier, vol. 25(5), pages 946-958, September.
- Joseph P. Newhouse, 1992. "Medical Care Costs: How Much Welfare Loss?," Journal of Economic Perspectives, American Economic Association, vol. 6(3), pages 3-21, Summer.
- Andreas Werblow & Stefan Felder & Peter Zweifel, 2007. "Population ageing and health care expenditure: a school of 'red herrings'?," Health Economics, John Wiley & Sons, Ltd., vol. 16(10), pages 1109-1126.
- Weisbrod, Burton A, 1991. "The Health Care Quadrilemma: An Essay on Technological Change, Insurance, Quality of Care, and Cost Containment," Journal of Economic Literature, American Economic Association, vol. 29(2), pages 523-52, June.
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