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, John E. Brazier, Benjamin Kearns, Clare Relton, Christine Smith, Cindy L. Cooper

Research output: Contribution to journalArticle

17 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)141-151
Number of pages11
JournalEuropean Journal of Health Economics
Volume16
Issue number2
Early online date10 Jan 2014
DOIs
Publication statusPublished - 1 Mar 2015
Externally publishedYes

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Least-Squares Analysis
Quality of Life
Osteoarthritis
Anxiety
Health
Depression
Population
Cost-Benefit Analysis
Pain
Cohort Studies
Regression Analysis
Economics
Delivery of Health Care
Ordinary least squares
General population
Health-related quality of life
Tobit model
Economic evaluation
Coefficients

Cite this

Wu, Mengjun ; Brazier, John E. ; Kearns, Benjamin ; Relton, Clare ; Smith, Christine ; Cooper, Cindy L. / Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample. In: European Journal of Health Economics. 2015 ; Vol. 16, No. 2. pp. 141-151.
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Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample. / Wu, Mengjun; Brazier, John E.; Kearns, Benjamin; Relton, Clare; Smith, Christine; Cooper, Cindy L.

In: European Journal of Health Economics, Vol. 16, No. 2, 01.03.2015, p. 141-151.

Research output: Contribution to journalArticle

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N2 - ObjectivesHealth-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.MethodsWe 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.ResultsThe 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.ConclusionsPain, 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.

AB - ObjectivesHealth-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.MethodsWe 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.ResultsThe 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.ConclusionsPain, 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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