Health-related quality of life variation by socioeconomic status: Evidence from an Iranian population-based study.

Abstract

Health-Related Quality of Life (HRQoL) values based on the accurate and reliable European Quality of Life Five Dimension (EQ-5D) questionnaire gives health-state utilities as a helpful data set for studying socio-demographic and socio-economic inequalities in health status in the general population. We aimed to do a population-based study to see how HRQoL varies by socio-demographics and socioeconomic status (SES). The study was a cross-sectional population-based study in Shiraz, Iran's southwest. Data was gathered utilizing a personal digital assistant (PDA). A trained interviewer administered the EQ-5D questionnaire to a representative sample of 1036 inhabitants. Principal component analysis (PCA) was used to create SES indices. Because of the skewed distribution, quantile regression was utilized to model the quartiles of HRQoL values. STATA 12.0 was used to perform all statistical analyses. P <0.05 was considered statistically significant. In 1036 study respondents, women had a mean HRQoL of 0.67 ± 0.28, whereas men had a mean HRQoL of 0.78 ± 0.25. Gender and age remained significant in all quartiles of HRQoL value. Participants with insurance showed 0.14 and 0.08 higher HRQoL values in the first and second HRQoL quartiles than those without coverage, respectively. Education [95% CI: 0.034, 0.111)], economy [95% CI: 0.013, 0.077], and assets [95% CI: 0.003, 0.069] all had an impact on HRQoL value in the lowest quintile. In all quartiles of HRQoL value, women had lower reported HRQoL than men. Insurance programs aimed at more disadvantaged groups with poorer HRQoL may help to minimize inequity. Education, economics, and assets all had an impact on the lower quartiles of HRQoL value, emphasizing the importance of general policies in determining public health status.