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

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  • 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
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    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.
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    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.

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