The aim of this analysis was to evaluate the economic consequences of a new treatment approach in the treatment of schizophrenia in the Italian setting. In terms of direct costs, in Italy was estimated that the main driver were represented by hospitalization and residential cost (71% of total direct cost per patient), followed by semi-residential services (13%), anti-psychotic and other drugs (8%) and ambulatory services (8).

A probabilistic cost consequence model was developed to estimate the potential cost reductions derived from an early treatment with atypical long-acting injectable anti-psychotics (aLAIs) drugs. A systematic literature review was carried out to identify direct and indirect costs associated to the management of schizophrenic patients in Italy. The model projects a scenario analysis in order to estimate potential cost reductions applying a new model management (MoMa) based on patient recovery and early aLAIs treatment.

Overall, the total economic burden associated with schizophrenia was estimated at €2.7 billion per year. A total of 50.5% of the economic burden was related to indirect costs and 49.5% to direct costs. Drug costs correspond to 10% of the total expenditure in terms of direct costs, while hospitalization and residential costs accounts for 81%. Scenario analysis demonstrate a potential cost reduction between 200 million and 300 million based on the effects of MoMa over the reduction of hospitalization and residential costs.

This analysis was the first attempt to translate clinical management aspects in economic consequences and will be a useful instruments for decision maker.

The authors have not supplied their declaration of competing interest.