The health of the residents of Ireland: Population norms for Ireland based on the EQ-5D-5L descriptive system – a cross sectional study

Abstract

Background: The EQ-5D descriptive system has become a widely used generic instrument to measure population health. In this study we use the EQ-5D-5L system to describe the health of residents in Ireland in 2015/16 and examine relationships between health and a range of socio-demographic characteristics. Methods: A representative sample of residents in Ireland was established in a two-stage random sampling exercise in 2015/16. Self-reported health, together with a range of socio-demographic characteristics, were collected using a computer-assisted-personal-interview survey. Self-reported health was captured using the EQ-5D-5L descriptive system including a visual analogue scale. Data were presented as descriptive statistics and analysed using a general linear regression model and ordered logistic regression models in the case of specific health domains. Socio-economic gradients in health were also examined using concentration curves and indices. Results: A usable sample of 1,131 individuals provided responses to all questions in the survey. The population in general reported good health across the five domains with roughly 78%, 94%, 81%, 60% and 78% reporting no problems with mobility, self-care, usual activities, pain/discomfort and anxiety/depression respectively. Differences in health with respect to age, and socio-economic status were evident; those who were older, less well-educated of lower income and without private health insurance reported poorer health. Differences in health between groups differentiated by socio-economic status varied across domains of health, and were dependent on the measure of socio-economic status used. Conclusion: Residents of Ireland appear to rate their health as relatively good across the various domains captured by the EQ-5D-5L system. A pro-affluent gradient in self-reported health is evident though the sharpness of that gradient varies between domains of health and the measures of socio-economic status used. The study provides baseline data against which the health of the population can be measured in the future as demography and economic conditions change.