IDEAS home Printed from https://ideas.repec.org/a/spr/eurpop/v38y2022i5d10.1007_s10680-022-09628-1.html
   My bibliography  Save this article

Well-Being Adjusted Health Expectancy: A New Summary Measure of Population Health

Author

Listed:
  • Magdalena Muszyńska-Spielauer

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna))

  • Marc Luy

    (Wittgenstein Centre for Demography and Global Human Capital (IIASA, OeAW, University of Vienna))

Abstract

We propose a new summary measure of population health (SMPH), the well-being-adjusted health expectancy (WAHE). WAHE belongs to a subgroup of health-adjusted life expectancy indicators and gives the number of life years equivalent to full health. WAHE combines health and mortality information into a single indicator with weights that quantify the reduction in well-being associated with decreased health. WAHE's advantage over other SMPHs lies in its ability to differentiate between the consequences of health limitations at various levels of severity and its transparent, simple valuation function. Following the guidelines of a Committee on Summary Measures of Population Health, we discuss WAHE's validity, universality, feasibility sensitivity and ensure its reproducibility. We evaluate WAHE's performance compared to life expectancy, the most commonly used indicators of health expectancy (HE) and disability-adjusted life expectancy (DALE) in an empirical application for 29 European countries. Data on health and well-being are taken from the 2018 EU-SILC, and the life tables are from Eurostat. DALE is taken from the database of the Global Burden of Disease Programme. WAHE's sensitivity to univariate and multivariate state specifications is studied using the three Minimum European Health Module health dimensions: chronic morbidity, limitations in activities of daily living, and self-rated health. The empirical tests of the indicators’ correspondence reveal that WAHE has the strongest correlation with the other SMPHs. Moreover, WAHE estimates are in agreement with all other SMPHs. Additionally, WAHE and all other SMPHs form a group of reliable indicators for studying population health in European countries. Finally, WAHE estimates are robust, regardless of whether health is defined across one or multiple simultaneous dimensions of health. We conclude that WAHE is a useful and reliable indicator of population health and performs at least as well as other commonly used SMPHs.

Suggested Citation

  • Magdalena Muszyńska-Spielauer & Marc Luy, 2022. "Well-Being Adjusted Health Expectancy: A New Summary Measure of Population Health," European Journal of Population, Springer;European Association for Population Studies, vol. 38(5), pages 1009-1031, December.
    • Handle: RePEc:spr:eurpop:v:38:y:2022:i:5:d:10.1007_s10680-022-09628-1
    DOI: 10.1007/s10680-022-09628-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10680-022-09628-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10680-022-09628-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Oksuzyan, Anna & Dańko, Maciej J. & Caputo, Jennifer & Jasilionis, Domantas & Shkolnikov, Vladimir M., 2019. "Is the story about sensitive women and stoical men true? Gender differences in health after adjustment for reporting behavior," Social Science & Medicine, Elsevier, vol. 228(C), pages 41-50.
    2. Paul Dolan & Daniel Kahneman, 2008. "Interpretations Of Utility And Their Implications For The Valuation Of Health," Economic Journal, Royal Economic Society, vol. 118(525), pages 215-234, January.
    3. Wolfgang Lutz & Erich Striessnig & Anna Dimitrova & Simone Ghislandi & Anastasia Lijadi & Claudia Reiter & Sonja Spitzerr & Dilek Yildiz, 2021. "Years of good life is a well-being indicator designed to serve research on sustainability," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(12), pages 1907351118-, March.
    4. Daniel Kahneman & Robert Sugden, 2005. "Experienced Utility as a Standard of Policy Evaluation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(1), pages 161-181, September.
    5. Paul Dolan, 2011. "Using Happiness to Value Health," Monograph 000176, Office of Health Economics.
    6. Ada Ferrer‐i‐Carbonell & Bernard M.S. van Praag, 2002. "The subjective costs of health losses due to chronic diseases. An alternative model for monetary appraisal," Health Economics, John Wiley & Sons, Ltd., vol. 11(8), pages 709-722, December.
    7. George MacKerron, 2012. "Happiness Economics From 35 000 Feet," Journal of Economic Surveys, Wiley Blackwell, vol. 26(4), pages 705-735, September.
    8. Ada Ferrer-i-Carbonell & Paul Frijters, 2004. "How Important is Methodology for the estimates of the determinants of Happiness?," Economic Journal, Royal Economic Society, vol. 114(497), pages 641-659, July.
    9. Paul Dolan & Henry Lee & Tessa Peasgood, 2012. "Losing Sight of the Wood for the Trees," PharmacoEconomics, Springer, vol. 30(11), pages 1035-1049, November.
    10. López Ulloa, Beatriz Fabiola & Møller, Valerie & Sousa-Poza, Alfonso, 2013. "How does subjective well-being evolve with age? A literature review," FZID Discussion Papers 72-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    11. Anand, Sudhir & Hanson, Kara, 1998. "DALYs: efficiency versus equity," World Development, Elsevier, vol. 26(2), pages 307-310, February.
    12. Lazarevič, Patrick & Brandt, Martina, 2020. "Diverging ideas of health? Comparing the basis of health ratings across gender, age, and country," Social Science & Medicine, Elsevier, vol. 267(C).
    13. Mukuria, Clara & Brazier, John, 2013. "Valuing the EQ-5D and the SF-6D health states using subjective well-being: A secondary analysis of patient data," Social Science & Medicine, Elsevier, vol. 77(C), pages 97-105.
    14. 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.
    15. Nord, Erik, 2013. "Disability weights in the Global Burden of Disease 2010: Unclear meaning and overstatement of international agreement," Health Policy, Elsevier, vol. 111(1), pages 99-104.
    16. Paul Dolan & Colin Green, 1998. "Using the person trade‐off approach to examine differences between individual and social values," Health Economics, John Wiley & Sons, Ltd., vol. 7(4), pages 307-312, June.
    17. Hal Caswell & Silke van Daalen, 2021. "Healthy longevity from incidence-based models: More kinds of health than stars in the sky," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 45(13), pages 397-452.
    18. Dolan, Paul, 1996. "Modelling valuations for health states: the effect of duration," Health Policy, Elsevier, vol. 38(3), pages 189-203, December.
    19. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
    20. Groot, Wim, 2000. "Adaptation and scale of reference bias in self-assessments of quality of life," Journal of Health Economics, Elsevier, vol. 19(3), pages 403-420, May.
    21. Anand, Sudhir & Hanson, Kara, 1997. "Disability-adjusted life years: a critical review," Journal of Health Economics, Elsevier, vol. 16(6), pages 685-702, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Powdthavee, Nattavudh & van den Berg, Bernard, 2011. "Putting different price tags on the same health condition: Re-evaluating the well-being valuation approach," Journal of Health Economics, Elsevier, vol. 30(5), pages 1032-1043.
    2. Binder, Martin & Coad, Alex, 2013. "“I'm afraid I have bad news for you…” Estimating the impact of different health impairments on subjective well-being," Social Science & Medicine, Elsevier, vol. 87(C), pages 155-167.
    3. Koen Decancq & Marc Fleurbaey & Erik Schokkaert, 2015. "Happiness, Equivalent Incomes and Respect for Individual Preferences," Economica, London School of Economics and Political Science, vol. 82, pages 1082-1106, December.
    4. Engel, Lidia & Bryan, Stirling & Noonan, Vanessa K. & Whitehurst, David G.T., 2018. "Using path analysis to investigate the relationships between standardized instruments that measure health-related quality of life, capability wellbeing and subjective wellbeing: An application in the ," Social Science & Medicine, Elsevier, vol. 213(C), pages 154-164.
    5. Dolan, Paul & Kavetsos, Georgios & Tsuchiya, Aki, 2013. "Sick but satisfied: The impact of life and health satisfaction on choice between health scenarios," Journal of Health Economics, Elsevier, vol. 32(4), pages 708-714.
    6. Mukuria, Clara & Brazier, John, 2013. "Valuing the EQ-5D and the SF-6D health states using subjective well-being: A secondary analysis of patient data," Social Science & Medicine, Elsevier, vol. 77(C), pages 97-105.
    7. Powdthavee, Nattavudh, 2009. "What happens to people before and after disability? Focusing effects, lead effects, and adaptation in different areas of life," Social Science & Medicine, Elsevier, vol. 69(12), pages 1834-1844, December.
    8. Hernández-Alava, Mónica & Sampson, Christopher & Wailoo, Allan, 2013. "Happy and healthy: a joint model of health and life satisfaction," MPRA Paper 49766, University Library of Munich, Germany.
    9. Sarah Flèche & Richard Layard, 2017. "Do More of Those in Misery Suffer from Poverty, Unemployment or Mental Illness?," Kyklos, Wiley Blackwell, vol. 70(1), pages 27-41, February.
    10. McDonald, Rebecca & Powdthavee, Nattavudh, 2018. "The Shadow Prices of Voluntary Caregiving: Using Panel Data of Well-Being to Estimate the Cost of Informal Care," IZA Discussion Papers 11545, Institute of Labor Economics (IZA).
    11. Welsch, Heinz & Ferreira, Susana, 2014. "Environment, Well-Being, and Experienced Preference," International Review of Environmental and Resource Economics, now publishers, vol. 7(3-4), pages 205-239, December.
    12. Nattavudh Powdthavee, 2012. "Jobless, Friendless and Broke: What Happens to Different Areas of Life Before and After Unemployment?," Economica, London School of Economics and Political Science, vol. 79(315), pages 557-575, July.
    13. Ólafsdóttir, Thorhildur & Ásgeirsdóttir, Tinna Laufey & Norton, Edward C., 2020. "Valuing pain using the subjective well-being method," Economics & Human Biology, Elsevier, vol. 37(C).
    14. van Praag, B. M. S. & Frijters, P. & Ferrer-i-Carbonell, A., 2003. "The anatomy of subjective well-being," Journal of Economic Behavior & Organization, Elsevier, vol. 51(1), pages 29-49, May.
    15. Howley, Peter, 2017. "Less money or better health? Evaluating individual’s willingness to make trade-offs using life satisfaction data," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 53-65.
    16. Akay, Alpaslan & Bargain, Olivier & Jara, Xavier, 2017. "Back to Bentham, Should We? Large-Scale Comparison of Experienced versus Decision Utility," IZA Discussion Papers 10907, Institute of Labor Economics (IZA).
    17. Paul Dolan & Georgios Kavetsos, 2012. "Happy Talk: Mode of Administration Effects on Subjective Well-Being," CEP Discussion Papers dp1159, Centre for Economic Performance, LSE.
    18. Stöckel, Jannis & van Exel, Job & Brouwer, Werner B.F., 2023. "Adaptation in life satisfaction and self-assessed health to disability - Evidence from the UK," Social Science & Medicine, Elsevier, vol. 328(C).
    19. Buddelmeyer, Hielke & Powdthavee, Nattavudh, 2016. "Can having internal locus of control insure against negative shocks? Psychological evidence from panel data," Journal of Economic Behavior & Organization, Elsevier, vol. 122(C), pages 88-109.
    20. Vladimir Spokoiny & Mayya Zhilova, 2013. "Sharp deviation bounds for quadratic forms," SFB 649 Discussion Papers SFB649DP2013-035, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:eurpop:v:38:y:2022:i:5:d:10.1007_s10680-022-09628-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.