Abstract

Abstract Background Mental illnesses comprise a wide range of mental health (MH) conditions -prevalence 3,90%- among European (EU) countries with significant effects on quality of life, life expectancy and disability. They are also related to substantial direct and indirect costs, consequences of inpatient care - not always beneficial for those patients. The main goals of our study are: to report on geographic variations in utilization rates and quality of care for adults MH diseases among 30 EU countries and regions; to explain the determinants of such variations. Methods Different data from EUROSTAT regarding healthcare resources, activities and self-perceived health and wellbeing for the years 2013-2015 are combined in a unique database at level of EU countries and NUTS 2 regions to allow for comparisons in utilization rates, perceived conditions and service local supply for MH diseases in Europe. Results Preliminary findings show a decline in the global trend of hospitalization rates for mental diseases; however, significant variations were observed among and within countries (High-Low ratio=25 in 2015, at country level). Males were more hospitalized than females (p = 0.40). Women were more likely than men to report depressive symptoms and to access to MH consultations (p < 0.001). Significant and positive correlations were found between resources (hospital beds and psychiatrists per capita) and adjusted hospitalization rates for MH disorders and between self-reported MH consultations and psychiatrists per capita (p < 0.001). Conclusions Preliminary findings confirm the presence of wide variations in the care of mental diseases across and within EU countries. Significant correlations between utilization rates and local supply of resources might indicate that part of the variation might be explained by differences in the local organization and availability of resources rather than patients' needs. Key messages There is a wide variation in the care of mental diseases across and within EU countries which might be explained by differences in the local organization and resources instead patients’ needs. These results can help policy makers and professionals to identify unwarranted variations that need to be removed and to shift to value-based healthcare.

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