Abstract
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 language | English |
|---|---|
| Pages (from-to) | 141-151 |
| Number of pages | 11 |
| Journal | European Journal of Health Economics |
| Volume | 16 |
| Issue number | 2 |
| Early online date | 10 Jan 2014 |
| DOIs | |
| Publication status | Published - 1 Mar 2015 |
| Externally published | Yes |
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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 journal › Article
TY - JOUR
T1 - Examining the impact of 11 long-standing health conditions on health-related quality of life using the EQ-5D in a general population sample
AU - Wu, Mengjun
AU - Brazier, John E.
AU - Kearns, Benjamin
AU - Relton, Clare
AU - Smith, Christine
AU - Cooper, Cindy L.
PY - 2015/3/1
Y1 - 2015/3/1
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.
KW - EQ-5D
KW - Health-related quality of life
KW - Chronic conditions
KW - Health economics methods
KW - Health surveys
KW - UK sample
U2 - 10.1007/s10198-013-0559-z
DO - 10.1007/s10198-013-0559-z
M3 - Article
VL - 16
SP - 141
EP - 151
JO - European Journal of Health Economics
JF - European Journal of Health Economics
SN - 1618-7598
IS - 2
ER -