OPT-In; Optimized Patient Treatment Outcomes in Plaque Psoriasis: A 3-Year State-Transition Treatment-Sequencing Model in the Italian Setting.

INTRODUCTION: There are several treatment options for plaque psoriasis (PsO), but uncertainty remains around the optimal sequencing of treatments. The aims of this study were to investigate how adopting a best-treatment-first treatment sequence impacts patient outcomes and healthcare systems and to quantify the cost of treatment failure to the healthcare system. METHODS: A 3-year state-transition treatment-sequencing model which identifies all possible treatment sequences in PsO was adapted to the Italian healthcare setting. Treatments considered in the model are those with European Medicines Agency marketing authorization and reimbursement in Italy as of December 2022. Italian market share data (2019-2021) and list prices (2022) informed the current prescribed sequences; these sequences were compared against all possible sequences to determine opportunities for improvement. Both the national perspective in Italy as well as the local perspective from seven regions were considered. The cost of treatment failure was informed through a questionnaire circulated to Italian dermatologists. RESULTS: Overall, 1284 possible treatment sequences are possible when four lines of treatment are considered for patients with moderate-to-severe PsO in Italy. Within the estimated range of treatment failures across those sequences (0.97-2.56 per patient over 3 years), current prescribing behavior from the national perspective suggests patients will face 1.44 failures on average; this highlights the potential for improvement. For every treatment failure, the cost borne by the Italian National Healthcare Service (NHS) is €676.80. Overall, prescribing more optimized treatment sequences results in a 22.95% reduction in failures with a 2.27% increase in costs. The regional analyses found similar trends. CONCLUSIONS: Results suggest that selecting the most effective treatment sequences for incident patients provides the greatest opportunity to reduce treatment failures and maximize patient outcomes with a modest impact on costs. While regional variations exist, there is room for improvement across the board, which could translate to more efficient local healthcare systems.

The costs of treatment resistant depression: evidence from a survey among Italian patients.

INTRODUCTION: Treatment resistant depression (TRD) is a severe form of major depressive disorder associated with high symptoms severity, disability, and health resource utilization. AIM: The purpose of this study is to estimate the coss of TRD in Italy. METHODS: The study was carried on a sample of Italian patients diagnosed with TRD in 2019. In total, 306 observations were collected. The first step was to estimate the health and social costs of TRD resulting from the survey applying the Italian tariffs, daily wages, and prices. Secondly, we focused on the determinants of out of pocket expenditure (OOPE). A parametric analysis was performed to explore the association between the costs of TRD and a set of co-variates. RESULTS: In total, the average healthcare costs were €2,653. A national average of 42 lost working days was estimated resulting in a total cost of €7,140 per patient. Regarding OOPE an average of € 615 per patient was found. Regression results showed how relevant regional gradients are likely to affect the amount of OOPE for TRD. CONCLUSIONS: the study confirms the important burden of TRD in Italy with specific focus on out of pocket expenditure. High heterogeneity is shown concerning regional settings.

Healthcare Resource Consumption and Related Costs of Patients Estimated with Treatment-Resistant Depression in Italy.

PURPOSE: To analyse the healthcare resource consumption and related costs for the Italian National Health System of patients estimated to be affected by treatment-resistant depression (TRD) in Italy. PATIENTS AND METHODS: This was an observational retrospective study based on administrative databases, including those related to residential/semiresidential structures, of Veneto Region and the Local Health Unit of Bergamo in Italy (for a total of around 6 million health-assisted subjects). Between July 2011 and December 2017, all adult patients with a third antidepressant (AD) after ≥2 AD (each one with at least ≥4 weeks duration, ≥1 prescription at maximum dosage reported in datasheets, a grace period ≤30 days when switching AD and treatment maintained ≥9 months) were included. Overall and psychiatry-related healthcare resources consumption and related costs were estimated on a 12-months based analysis. Data were re-proportioned to the Italian population. RESULTS: We have previously estimated a total of 101,455 patients with TRD in Italy (130,049 considering the mean maximum dosage of AD). Of them, 44.2% had at least a psychiatric hospitalization/visit or accessed a residential/semiresidential structure, and 31% added another AD or a mood stabilizer/antipsychotic drug. Patients with at least one psychiatry-related hospitalization increased over the number of antidepressant lines from 12.0% during first line up to 24.5% during fourth line. Direct healthcare costs increased from €4,405 for first line to €9,251 from fifth line onwards. Psychiatry-related costs went from €1,817 (first line) to €4,606 (fifth line onwards) and were mainly driven by residential/semiresidential structures and hospitalizations. CONCLUSION: An upward trend with number of AD lines was observed for all healthcare resource utilization and consequently for all direct costs, thus indicating an increasing burden for patients as they move forward AD lines.

Economic burden of schizophrenia in Italy: a probabilistic cost of illness analysis.

OBJECTIVES: Schizophrenia is a chronic, debilitating psychiatric disease with highly variable treatment pathways and consequent economic impacts on resource utilisation. The aim of the study was to estimate the economic burden of schizophrenia in Italy for both the societal and Italian National Healthcare perspective. METHODS: A probabilistic cost of illness model was applied. A systematic literature review was carried out to identify epidemiological and economic data. Direct costs were calculated in terms of drugs, hospitalisations, specialist services, residential and semiresidential facilities. Indirect costs were calculated on the basis of patients' and caregivers' loss of productivity. In addition, the impact of disability compensation was taken into account using a database from the Italian National Social Security Institute -Italy (INPS). RESULTS: Overall, 303 913 prevalent patients with schizophrenia were estimated. Of these, 212 739 (70%) were diagnosed and 175 382 (82%) were treated with antipsychotics. The total economic burden was estimated at €2.7 billion (95% CI €1771.93 to €3988.65), 50.5% due to indirect costs and 49.5% to direct costs. Drugs corresponded to 10% of direct costs and hospitalisations (including residential and semiresidential facilities) accounted for 81%. CONCLUSIONS: This study highlighted that indirect costs and hospitalisations (including residential and semiresidential facilities) play a major role within the expenses associated with schizophrenia in Italy, and this may be considered as a tool for public decision-makers.