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Did the health of the Dutch population improve between 2001 and 2008? Investigating age- and gender-specific trends in quality of life

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Listed:
  • Maria Gheorghe
  • Werner Brouwer
  • Pieter Baal

Abstract

Although many countries’ populations have experienced increasing life expectancy in recent decades, quality of life (QoL) trends in the general population have yet to be investigated. This paper investigates whether QoL changed for the general Dutch population over the period 2001–2008. A beta regression model was employed to address specific features of the QoL distribution (i.e., boundedness, skewness, and heteroskedasticity), as well non-linear age and time trends. Quality-adjusted life expectancy (QALE) was calculated by combining model estimates of mean QoL with mortality rates provided by Statistics Netherlands. Changes in QALE were decomposed into those changes caused by QoL changes and those caused by mortality-rate changes. The results revealed a significant increase in QoL over 2001–2008 for both genders and most ages. For example, QALE for a man/woman aged 20 was found to have increased by 2.3/1.9 healthy years, of which 0.6/0.8 was due to QoL improvements. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Maria Gheorghe & Werner Brouwer & Pieter Baal, 2015. "Did the health of the Dutch population improve between 2001 and 2008? Investigating age- and gender-specific trends in quality of life," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 801-811, November.
    • Handle: RePEc:spr:eujhec:v:16:y:2015:i:8:p:801-811
    DOI: 10.1007/s10198-014-0630-4
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    1. Alan Williams, 1999. "Calculating the global burden of disease: time for a strategic reappraisal?," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 1-8, February.
    2. Victor R. Fuchs, 2018. "The New Demographic Transition: Most Gains in Life Expectancy Now Realized Late in Life," World Scientific Book Chapters, in: Health Economics and Policy Selected Writings by Victor Fuchs, chapter 32, pages 379-401, World Scientific Publishing Co. Pte. Ltd..
    3. Drummond, Michael F. & Sculpher, Mark J. & Torrance, George W. & O'Brien, Bernie J. & Stoddart, Greg L., 2005. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 3, number 9780198529453.
    4. Raydonal Ospina & Silvia Ferrari, 2010. "Inflated beta distributions," Statistical Papers, Springer, vol. 51(1), pages 111-126, January.
    5. Cox, Christopher, 1996. "Nonlinear quasi-likelihood models: applications to continuous proportions," Computational Statistics & Data Analysis, Elsevier, vol. 21(4), pages 449-461, April.
    6. David Cutler & Angus Deaton & Adriana Lleras-Muney, 2006. "The Determinants of Mortality," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 97-120, Summer.
    7. Layes, Audrey & Asada, Yukiko & Kephart, George, 2012. "Whiners and deniers – What does self-rated health measure?," Social Science & Medicine, Elsevier, vol. 75(1), pages 1-9.
    8. Muennig, Peter & Franks, Peter & Jia, Haomiao & Lubetkin, Erica & Gold, Marthe R, 2005. "The income-associated burden of disease in the United States," Social Science & Medicine, Elsevier, vol. 61(9), pages 2018-2026, November.
    9. Istvan Majer & Ralph Stevens & Wilma Nusselder & Johan Mackenbach & Pieter Baal, 2013. "Modeling and Forecasting Health Expectancy: Theoretical Framework and Application," Demography, Springer;Population Association of America (PAA), vol. 50(2), pages 673-697, April.
    10. Dolan, Paul, 2000. "The measurement of health-related quality of life for use in resource allocation decisions in health care," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 32, pages 1723-1760, Elsevier.
    11. David M. Cutler & Elizabeth Richardson, 1997. "Measuring the Health of the U.S. Population," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1997 Micr), pages 217-282.
    12. 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).
    13. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    14. Figueroa-Zúñiga, Jorge I. & Arellano-Valle, Reinaldo B. & Ferrari, Silvia L.P., 2013. "Mixed beta regression: A Bayesian perspective," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 137-147.
    15. Anirban Basu & Andrea Manca, 2012. "Regression Estimators for Generic Health-Related Quality of Life and Quality-Adjusted Life Years," Medical Decision Making, , vol. 32(1), pages 56-69, January.
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    More about this item

    Keywords

    Quality of life; Life expectancy; Beta regression; QALE; I10;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General

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