Economic Evaluation and HTA (CEIS- EEHTA) - IGF Department, Faculty of Economics, University of Rome "Tor Vergata" , Rome , Italy.
Institute for Leadership and Management in Health, Kingston University London , London , UK.
Expert Rev Pharmacoecon Outcomes Res. 2019 Oct;19(5):581-599. doi: 10.1080/14737167.2019.1569516. Epub 2019 Feb 4.
: The aim of this study was to develop a spending predictor model to evaluate the direct costs associated with the management of ABSSSIs from the National health-care provider's perspective of Italy, Romania, and Spain. : A decision-analytic model was developed to evaluate the diagnostic and clinical pathways of hospitalized ABSSSI patients based on scientific guidelines and real-world data. A Standard of Care (SoC) scenario was compared with a dalbavancin scenario in which the patients could be discharged early. The epidemiological and cost parameters were extrapolated from national administrative databases (i.e., hospital information system). A probabilistic sensitivity analysis (PSA) and one-way sensitivity analysis (OWA) were performed. : Overall, the model estimated an average annual number of patients with ABSSSIs of approximately 50,000 in Italy, Spain, and Romania. On average, the introduction of dalbavancin reduced the length of stay by 3.3 days per ABSSSI patient. From an economic perspective, dalbavancin did not incur any additional cost from the National Healthcare perspective, and the results were consistent among the countries. The PSA and OWA demonstrated the robustness of these results. : This model represents a useful tool for policymakers by providing information regarding the economic and organizational consequences of an early discharge approach in ABSSSI management.
: 本研究旨在开发一种支出预测模型,以从意大利、罗马尼亚和西班牙的国家医疗保健提供者的角度评估与 ABSSSI 管理相关的直接成本。 : 开发了一种决策分析模型,以根据科学指南和真实世界的数据评估住院 ABSSSI 患者的诊断和临床路径。将标准治疗(SoC)方案与达巴万星方案进行比较,后者可使患者提前出院。流行病学和成本参数从国家行政数据库(即医院信息系统)中推断得出。进行了概率敏感性分析(PSA)和单因素敏感性分析(OWA)。 : 总体而言,该模型估计意大利、西班牙和罗马尼亚每年平均约有 50,000 名 ABSSSI 患者。平均而言,达巴万星的引入使每位 ABSSSI 患者的住院时间缩短了 3.3 天。从经济角度来看,从国家医疗保健的角度来看,达巴万星不会产生任何额外成本,并且这些结果在各国之间是一致的。PSA 和 OWA 证明了这些结果的稳健性。 : 该模型为政策制定者提供了有关 ABSSSI 管理中提前出院方法的经济和组织后果的信息,是一个有用的工具。