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Since the economic crisis of 2008 were growth in health spending has reached unsustainable levels many countries have reduced public spending on health but it is now rising again in Italy (OECD, 2017). This study proposes a new way to use the official indicators for healthcare monitoring in order to assesses the impact by the reform of the Italian National Health Service on the equity access to health care service. A preliminary analysis was performed in order to evaluate geographical hospital resource allocation taking into account both the amount of resources and the intensity of care needed. A second analysis, performed using a two-stage least squares (2SLS) regression model, was addressed to explain geographic lifespan differences between Italian regions. In conclusion, this study attempts to provide an alternative reading to “sector studies”, to highlight more clearly the extent of the “healthcare mobility” phenomenon and the role of the supply structure as a driver of this phenomenon. JEL classification: M11, Keywords: Health resource

Purpose: The EUropean Network of National Schizophrenia Networks Studying Gene-Environment Interactions (EU-GEI) study contains an unparalleled wealth of comprehensive data that allows for testing hypotheses about (1) variations in incidence within and between countries, including by urbanicity and minority ethnic groups; and (2) the role of multiple environmental and genetic risk factors, and their interactions, in the development of psychotic disorders. Methods: Between 2010 and 2015, we identified 2774 incident cases of psychotic disorders during 12.9 million person-years at risk, across 17 sites in 6 countries (UK, The Netherlands, France, Spain, Italy, and Brazil). Of the 2774 incident cases, 1130 cases were assessed in detail and form the case sample for case-control analyses. Across all sites, 1497 controls were recruited and assessed. We collected data on an extensive range of exposures and outcomes, including demographic, clinical (e.g. premorbid adjustment), social (e.g. childhood and adult adversity, cannabis use, migration, discrimination), cognitive (e.g. IQ, facial affect processing, attributional biases), and biological (DNA via blood sample/cheek swab). We describe the methodology of the study and some descriptive results, including representativeness of the cohort. Conclusions: This resource constitutes the largest and most extensive incidence and case-control study of psychosis ever conducted.