No abstract

Background In Italy both the consumption of antibiotics and the prevalence of bacterial resistance are higher than in other European countries. In 2017, the first National Action Plan on Antimicrobial Resistance (PNCAR) was adopted in Italy. In response to the PNCAR two national reports on antibiotic use in the human setting have been published. This article's aim is to describe the pattern of antibiotic consumption in the community setting in Italy from 2013 to 2018. Methods To analyse the consumption for reimbursed antibiotics dispensed by community pharmacies different data sources were used. Consumption was measured in terms of defined daily dose (DDD), prescriptions or prevalence of use. Results In 2018, the consumption of antibiotics in Italy amounted to 16.1 DDD per 1000 inhabitants per day. The rates of consumption by geographical area were: 12.7 DDD in the north, 16.9 in the centre and 20.4 in the south. The use was greater in the extreme age groups than in the population aged from 20 to 64 years. The consumption was higher in winter season, with high peaks in the incidence of flu syndromes. In the paediatric population, a utilization rate of 1010 prescriptions per 1000 children, with a prevalence of use of 40.8%, was found. Conclusion The study provides useful information on the geographical variability of antibiotic use in Italy to guide decision makers in the introduction of tailored interventions, as suggested by PNCAR, aimed at promoting a more rational use of antibiotics for humans and reducing antimicrobial resistance.

Background and aim Evidence on determinants of prices for orphan medicines is scarce and not available for Italy. The aim of this paper is to provide an evidence on variables affecting the annual treatment cost of orphan drugs in Italy, testing the hypothesis of a negative correlation with the dimension of the target population and a positive correlation with the added therapeutic value of the drug and the quality of the evidence of pivotal studies. Methods Drugs with a European orphan designation reimbursed in Italy in the last 6 years (2014–2019) were considered. Univariate, cluster analysis and multiple regression models were used to investigate the correlation between the annual treatment cost and, as explanatory variables, the dimension of the target population, the existence of Randomized Clinical Trials as a proxy of the quality of the pivotal studies, the added therapeutic value. Results In the univariate analysis prevalence and added therapeutic value, as expected, have a negative and positive correlation with cost respectively. The correlation with RCT is not significant. In the multivariate model, coefficients for prevalence and added value are confirmed but for the latter are not significant anymore. We also found, through an interaction analysis, that the existence of an RCT has a positive impact on annual treatment cost when the target population is very small. Conclusions Our results suggest that value arguments and sustainability (dimension of the target population and its impact on budget impact) issues are considered for orphan drugs pricing: the role played by sustainability is systematically supported by our results. A more transparent and reproducible price negotiation process for orphan drugs is needed in Italy. This paper has contributed to highlight the implicit drivers of this process.

IntroductionIt is well acknowledged that the price of orphan drugs is normally higher than that resulting from the value-based pricing. A correlation between the cost of therapy for orphan drugs and the epidemiology (prevalence and incidence) of the related rare disease can be hypothesized.MethodsThis analysis includes all approved orphan drugs by European Medicines Agency whose reimbursement was granted for the first therapeutic indication in the years 2014–2019 in Italy. Regression and correlation analyses were performed to analyze the possible correlations between the logarithm of the annual therapy cost and the epidemiology of the rare diseases, between orphan drugs consumption and epidemiology of related rare disease and between therapy cost and the consumption.ResultsThe regression analysis between the annual cost of therapy estimated on the published ex-factory price and the prevalence showed a slightly decreasing, not statistically significant, trend (coefficient: −0.10, p-value: 0.41). The results were similar when using the price resulting from the application of Managed Entry Agreements (coefficient: −0.11, p-value: 0.40). The regression analysis between sales volume and prevalence showed a positive slope without an acceptable level of significance (p-value: 0.04). The correlation analysis between the therapy cost and the sales volume highlighted again an absence of significant association, similarly if considering only ATC L orphan drugs, or the incidence.DiscussionThe definition of the price of an orphan drug seems not to depend on the rarity of the disease, and sales volumes do not correlate with the epidemiology of the rare disease and with the annual cost of therapy.