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. 2015 Mar;16(2):141-51.
doi: 10.1007/s10198-013-0559-z. Epub 2014 Jan 10.

Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample

Mengjun Wu  1 , John E Brazier, Benjamin Kearns, Clare Relton, Christine Smith, Cindy L Cooper
Affiliations

Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample

Mengjun Wu et al. Eur J Health Econ. 2015 Mar.

Abstract

Objectives: Health-related quality of life (HRQoL) measures have been increasingly used in economic evaluations for policy guidance. We investigate the impact of 11 self-reported long-standing health conditions on HRQoL using the EQ-5D in a UK sample.

Methods: We used data from 13,955 patients in the South Yorkshire Cohort study collected between 2010 and 2012 containing the EQ-5D, a preference-based measure. Ordinary least squares (OLS), Tobit and two-part regression analyses were undertaken to estimate the impact of 11 long-standing health conditions on HRQoL at the individual level.

Results: The results varied significantly with the regression models employed. In the OLS and Tobit models, pain had the largest negative impact on HRQoL, followed by depression, osteoarthritis and anxiety/nerves, after controlling for all other conditions and sociodemographic characteristics. The magnitude of coefficients was higher in the Tobit model than in the OLS model. In the two-part model, these four long-standing health conditions were statistically significant, but the magnitude of coefficients decreased significantly compared to that in the OLS and Tobit models and was ranked from pain followed by depression, anxiety/nerves and osteoarthritis.

Conclusions: Pain, depression, osteoarthritis and anxiety/nerves are associated with the greatest losses of HRQoL in the UK population. The estimates presented in this article should be used to inform economic evaluations when assessing health care interventions, though improvements can be made in terms of diagnostic information and obtaining longitudinal data.

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Figures

Fig. 1
Fig. 1
Distribution of the EQ-5D scores
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References

    1. Gold MR, Siegel JE, Russell LB, Weinstein MC, editors. Cost-effectiveness in health and medicine. New York: Oxford University Press; 1996.
    1. Cooper JK, Kohlmann T, Michael JA, Haffer SC, Stevic A. Health outcomes. New quality measure for medicare. Int. J. Qual. Health Care. 2001;13:9–16. doi: 10.1093/intqhc/13.1.9. - DOI - PubMed
    1. Murray, C.J.L., Lopez, A.D., Mathers, C.D., Stein, C.: The global burden of disease 2000 project: aims, methods and data sources. Global programme on evidence for health policy discussion paper 36, Word Health Organisation (2001)
    1. Gold MR, Muennig P. Measure-dependent variation in burden of diseases estimates: implications for policy. Med. Care. 2002;40:260–266. doi: 10.1097/00005650-200203000-00009. - DOI - PubMed
    1. Williams, A.: The role of the EuroQol instrument in QALY calculations, discussion paper 130, Centre for Health Economics, University of York, York (1995)

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