Hospital satisfaction among older adults by European Union health system clusters

Abstract Background Health systems are influenced by political, historical, cultural and socio-economic factors and differ across countries. Classification of EU health systems into 5 clusters has allowed for international comparison and policy recommendations. This study is based on the Andersen’s Behavior Model, that predicts that a sequence of predisposing, enabling and need factors influence satisfaction and utilization of healthcare services. Aim Examine the nature and relationship of predisposing, enabling and need factors associated with hospital satisfaction of older adults across EU nations by health system classification clusters. Methods Data from Wave 9, of the Survey of Health, Ageing and Retirement in Europe (SHARE) were examined using a sample of older adults from 10 EU countries. Analysis: Non-parametric one-way ANOVA (Kruskal- Wallis test) and Multinominal Logistics regression were performed to test the null hypothesis that (1) hospital satisfaction is equal across all clusters, and (2) predisposing, enabling, and need factors, are not predictors of hospital satisfaction. Findings There was a statistically significant difference in hospital satisfaction by cluster [Chi Square= 231.44, df = 21; p< .001]. Age, mental health, technology and chronic disease are predictors of healthcare facilities satisfaction. [Chi Square 50.94, df = 3, p< .001], Among those that reported to be highly unsatisfied with healthcare facilities, [chronic disease (Beta = -2.64) and mental health (Beta = -4.41) df = 1 p< .001] significantly predicted hospital satisfaction. Implications for Policy and Practice: Initiatives for the care of older adults should not only aim to increase access to care but also provide targeted services for sub populations such as older adults with mental health and chronic diseases. Further, significant investment is required in technology infrastructure within hospitals and technological assistance or training should be provided to older adults. Key messages • Older adults satisfaction with hospitals varies by health system clusters and is predicted by age, mental health, use of technology and chronic disease. • Chronic disease and mental health are strong predictors of hospital dissatisfaction among older adults.