IDEAS home Printed from https://ideas.repec.org/p/cty/dpaper/13-12.html
   My bibliography  Save this paper

A Study of the Relationship Between Health and Subjective Well-being in Parkinson’s Disease Patients

Author

Listed:
  • Cubi-Molla, P.
  • De Vries, J.
  • Devlin, N.

Abstract

Objectives: In light of the apparent disconnect between traditional measures of societal well-being such as GDP and reported levels of happiness, governments globally are turning their attention to alternative subjective measures of well-being (SWB) to aid policy decisions. In the context of health, there is therefore growing interest in understanding how measures of health-related quality of life (HRQoL), widely used in health technology appraisal, relates to SWB, and whether SWB could provide a sound basis for resource allocation decisions in health and other sectors in the future. This study investigates the relationship between HRQoL, as measured by EQ-5D, and SWB in Parkinson’s disease (PD) and the extent to which patients’ self-reported health can explain (part of) their SWB.Methods: A paper questionnaire including EQ-5D, four key SWB questions taken from the Office for National Statistics Integrated Household Survey in England and other demographic details was distributed to people with PD in the UK. Responses were used to estimate multiple regression models explaining SWB using each of the EQ-5D Index (UK weights), EQ-5D dimensions and EQ-VAS and patient socio-demographic characteristics.Results: 276 questionnaires were distributed and 183 responses received. The EQ-5D Index was a moderate predictor of SWB (adjusted R2 range 0.19-0.38 in OLS models), but EQ-VAS performed better (adjusted R2 range 0.32-0.49).Combining EQ-VAS and EQ-5D dimensions, especially anxiety/depression and mobility, and household status in some cases, yielded the best-fitting models (adjusted R2 range 0.40-0.52).Conclusions: The findings imply that EQ-VAS and some dimensions of the EQ-5D, together with key demographic data, could potentially be used to predict SWB, e.g. via mapping. However, further empirical research into the relationship between SWB and EQ-5D longitudinally, and in different disease areas, is required to corroborate these findings, and further standardisation of SWB measures is recommended.

Suggested Citation

  • Cubi-Molla, P. & De Vries, J. & Devlin, N., 2013. "A Study of the Relationship Between Health and Subjective Well-being in Parkinson’s Disease Patients," Working Papers 13/12, Department of Economics, City University London.
  • Handle: RePEc:cty:dpaper:13/12
    as

    Download full text from publisher

    File URL: https://openaccess.city.ac.uk/id/eprint/2927/1/13_12_SWB_Pcm.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Erreygers, Guido & Van Ourti, Tom, 2011. "Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: A recipe for good practice," Journal of Health Economics, Elsevier, vol. 30(4), pages 685-694, July.
    2. Doorslaer, Eddy van & Jones, Andrew M., 2003. "Inequalities in self-reported health: validation of a new approach to measurement," Journal of Health Economics, Elsevier, vol. 22(1), pages 61-87, January.
    3. Menzel, Paul & Dolan, Paul & Richardson, Jeff & Olsen, Jan Abel, 2002. "The role of adaptation to disability and disease in health state valuation: a preliminary normative analysis," Social Science & Medicine, Elsevier, vol. 55(12), pages 2149-2158, December.
    4. Patricia Cubí‐Mollá & Carmen Herrero, 2012. "Quality of life lost due to non‐fatal road traffic injuries," Health Economics, John Wiley & Sons, Ltd., vol. 21(5), pages 528-550, May.
    5. Paul Dolan, 2011. "Using Happiness to Value Health," Monograph 000176, Office of Health Economics.
    6. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    7. Helliwell, John & Layard, Richard & Sachs, Jeffrey, 2012. "World happiness report," LSE Research Online Documents on Economics 47487, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.

    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. Bénédicte Apouey & David Madden, 2023. "Health poverty," Chapters, in: Jacques Silber (ed.), Research Handbook on Measuring Poverty and Deprivation, chapter 19, pages 202-211, Edward Elgar Publishing.
    2. Nádia Simões & Nuno Crespo & Sandrina B. Moreira & Celeste A. Varum, 2016. "Measurement and determinants of health poverty and richness: evidence from Portugal," Empirical Economics, Springer, vol. 50(4), pages 1331-1358, June.
    3. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    4. 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.
    5. Laia Maynou & Marc Saez & Jordi Bacaria & Guillem Lopez-Casasnovas, 2015. "Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(5), pages 543-559, June.
    6. Guido Erreygers & Tom Van Ourti, 2011. "Putting the cart before the horse. A comment on Wagstaff on inequality measurement in the presence of binary variables," Health Economics, John Wiley & Sons, Ltd., vol. 20(10), pages 1161-1165, October.
    7. Baeten, Steef & Van Ourti, Tom & van Doorslaer, Eddy, 2013. "Rising inequalities in income and health in China: Who is left behind?," Journal of Health Economics, Elsevier, vol. 32(6), pages 1214-1229.
    8. Max Coveney & Pilar (P.) Garcia-Gomez & Eddy (E.K.A.) van Doorslaer & Tom (T.G.M.) van Ourti, 2018. "Every crisis has a silver lining? Unravelling the pro-cyclical pattern of health inequalities by income," Tinbergen Institute Discussion Papers 18-066/V, Tinbergen Institute.
    9. Max Coveney & Pilar García‐Gómez & Eddy Van Doorslaer & Tom Van Ourti, 2016. "Health Disparities by Income in Spain Before and After the Economic Crisis," Health Economics, John Wiley & Sons, Ltd., vol. 25(S2), pages 141-158, November.
    10. Joan Costa‐Font & Frank A. Cowell & Belen Saenz de Miera, 2021. "Measuring pure health inequality and mobility during a health insurance expansion: Evidence from Mexico," Health Economics, John Wiley & Sons, Ltd., vol. 30(8), pages 1833-1848, August.
    11. Coveney, Max & García-Gómez, Pilar & van Doorslaer, Eddy & Van Ourti, Tom, 2020. "Thank goodness for stickiness: Unravelling the evolution of income-related health inequalities before and after the Great Recession in Europe," Journal of Health Economics, Elsevier, vol. 70(C).
    12. Guangming Lv & Yang Wang & Yongsheng Xu, 2015. "On a new class of measures for health inequality based on ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 13(3), pages 465-477, September.
    13. FLEURBAEY, Marc & SCHOKKAERT, Erik, 2011. "Equity in health and health care," LIDAM Discussion Papers CORE 2011026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Kjellsson, Gustav, 2014. "Extending Decomposition Analysis to Account for Socioeconomic Background: Income-Related Smoking Inequality among Swedish Women," Working Papers 2014:29, Lund University, Department of Economics.
    15. Ziebarth, Nicolas R. & Frick, Joachim R., 2010. "Revisiting the Income-Health Nexus: The Importance of Choosing the," IZA Discussion Papers 4787, Institute of Labor Economics (IZA).
    16. Joachim Frick & Nicolas Ziebarth, 2013. "Welfare-related health inequality: does the choice of measure matter?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 14(3), pages 431-442, June.
    17. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    18. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    19. Andrew E. Clark, 2018. "Four Decades of the Economics of Happiness: Where Next?," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 245-269, June.
    20. 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.

    More about this item

    Statistics

    Access and download statistics

    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:cty:dpaper:13/12. 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: Research Publications Librarian (email available below). General contact details of provider: https://edirc.repec.org/data/decituk.html .

    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.