AbstractAims: The aim of this study was to conduct a cost-effectiveness analysis, as well as a budget impact analysis, on the use of apremilast for the treatment of adult patients with moderate-to-severe plaque psoriasis (defined as a psoriasis area severity index [PASI]?≥?10), who failed to respond to, had a contraindication to, or were intolerant to other systemic therapies, within the Italian National Health Service (NHS).Materials and methods: A Markov state-transition cohort model adapted to the Italian context was used to compare the costs of the currently available treatments and of the patients’ quality of life with two alternative treatment sequences, with or without apremilast as pre-biologic therapy. Moreover, a budget impact model was developed based on the population of patients treated for psoriasis in Italy, who would be eligible for treatment with apremilast.Results: Over 5?years, the cost-effectiveness analysis showed that the strategy of using apremilast before biologic therapy was dominant compared with the sequence of biologic treatments without apremilast. In addition, it is important to underline that the use of apremilast slightly increases the quality-adjusted life years gained over 5?years. Furthermore, within the budget impact analysis, the strategy including apremilast would lead to a saving of €16 million within 3?years. Savings would mainly be related to a reduction in pharmaceutical spending, hospital admissions and other drug administration-related costs.Conclusion: These models proved to be robust to variation in parameters and it suggested that the use of apremilast would lead to savings to the Italian healthcare system with potential benefits in terms of patients’ quality of life. 相似文献
The economic implications from the US Medicare perspective of adopting alternative treatment strategies for acute bacterial skin and skin structure infections (ABSSSIs) are substantial. The objective of this study is to describe a modeling framework that explores the impact of decisions related to both the location of care and switching to different antibiotics at discharge.
Methods:
A discrete event simulation (DES) was developed to model the treatment pathway of each patient through various locations (emergency department [ED], inpatient, and outpatient) and the treatments prescribed (empiric antibiotic, switching to a different antibiotic at discharge, or a second antibiotic). Costs are reported in 2012 USD.
Results:
The mean number of days on antibiotic in a cohort assigned to a full course of vancomycin was 11.2 days, with 64% of the treatment course being administered in the outpatient setting. Mean total costs per patient were $8671, with inpatient care accounting for 58% of the costs accrued. The majority of outpatient costs were associated with parenteral administration rather than drug acquisition or monitoring. Scenarios modifying the treatment pathway to increase the proportion of patients receiving the first dose in the ED, and then managing them in the outpatient setting or prescribing an oral antibiotic at discharge to avoid the cost associated with administering parenteral therapy, therefore have a major impact and lower the typical cost per patient by 11–20%. Since vancomycin is commonly used as empiric therapy in clinical practice, based on these analyses, a shift in treatment practice could result in substantial savings from the Medicare perspective.
Conclusions:
The choice of antibiotic and location of care influence the costs and resource use associated with the management of ABSSSIs. The DES framework presented here can provide insight into the potential economic implications of decisions that modify the treatment pathway. 相似文献
