Global & Regional Health Technology Assessment最新文献

Background: Chronic kidney disease-associated pruritus (CKD-aP) affects patients on hemodialysis. This study identified hemodialysis patients presumably affected or not affected by CKD-aP and integrated healthcare costs, from the perspective of the Italian administrative healthcare data.

Methods: Through cross-linkage of Italian administrative healthcare data collected between 2015 and 2017 (accrual period) in the database of Fondazione ReS (Ricerca e Salute), patients undergoing in-hospital/outpatient hemodialysis were selected. Cohorts with and without CKD-aP were created based on the presence/absence of CKD-aP-related treatment (according to common clinical practice and guidelines) supplies and assessed in terms of CKD-aP-related treatments and mean healthcare costs per capita paid by the Italian National Health Service (INHS).

Results: Of 1,239 people on hemodialysis for ≥2 years, CKD-aP affected 218 patients. Patients with CKD-aP were older and with more comorbidities. During the follow-up year, on average, the INHS spent €37,065 per case, €31,286 per control and € 35,988 per non-CKD-aP subject. High-efficiency dialytic therapies performed to people on hemodialysis with CKD-aP largely weighed on the overall mean annual cost.

Conclusions: This real-world study identified patients on chronic hemodialysis potentially treated for CKD-aP. Interestingly, high-efficiency dialysis seems the most frequent and expensive choice for the treatment of CKD-aP. The discovery of appropriate and effective treatments for this condition might offer cost offsets.

Background: Abemaciclib was recently approved by the European Medicines Agency in combination with adjuvant endocrine therapy (ET) for adult patients with hormone receptor positive (HR+), human epidermal growth factor receptor 2 negative (HER2-), node-positive early breast cancer (EBC) at high risk of recurrence.

Objective: To evaluate the cost-effectiveness of abemaciclib plus ET vs. ET alone in patients with HR+, HER2-, node-positive EBC at high risk of disease recurrence, from the Italian healthcare system perspective.

Methods: A cohort state transition model was developed with five states: invasive disease-free survival (IDFS), nonmetastatic recurrence, remission, metastatic recurrence, and death. The analysis had a time horizon of 30 years. Individual patient-level data from the monarchE trial (NCT03155997) were used to generate IDFS estimates. Resource use included drug acquisition/administration, best supportive care, terminal care, adverse events, hospitalization, post-progression therapy, and associated resource use in the metastatic disease health state. Health state utilities were derived from monarchE patient-level data and other sources, applying Italian tariffs where feasible.

Results: The estimated total discounted costs (€39,249 vs. €16,806; difference: €22,443) and quality-adjusted life years (QALYs) (11.49 vs. 10.50; difference: 0.99) were higher for abemaciclib plus ET compared with ET alone. The incremental cost-effectiveness ratio was €22,651 per QALY gained. The likelihood of abemaciclib plus ET being cost-effective vs. ET alone was 99% at a willingness-to-pay threshold of €30,000 per QALY gained.

Conclusion: Abemaciclib plus ET is a cost-effective treatment option vs. ET alone for those with HR+, HER2- node-positive EBC at high risk of recurrence in Italy.

Background: Since the COVID-19 pandemic has placed more attention on drugs' approval process and the importance of rapid decision-making in the healthcare sector, it is crucial to assess how time to market (TTM) of drugs varied.

Objective: To estimate the impact of the COVID-19 pandemic on TTM of drugs in Italy.

Methods: An IQVIA database was used to retrieve information on drugs that obtained positive opinion from the Committee for Medicinal Products for Human Use between January 2015 and December 2021. The available observations were divided into three groups (Pre COVID, Partially COVID, and Fully COVID) according to the timing of their negotiation process. Differences in average TTM among the three groups were analyzed in three steps: (1) descriptive statistics; (2) univariate analysis; (3) multivariate analysis, using a matching estimator.

Results: A total of 363 unique combinations of molecule and indication met the inclusion criteria: 174 in the Pre COVID group, 69 in the Partially COVID group, and 123 in the Fully COVID group. Descriptive statistics and univariate analysis found a statistically significant difference in TTM among the three periods, with average TTM increasing during the pandemic (+136 days, p = 0.00) and then decreasing afterward (-23 days, p = 0.09). In the matching analysis, results for the Partially COVID period were confirmed (+108 days, p = 0.00) while results for the Fully COVID period lost significance but maintained a negative sign.

Conclusions: The results suggest that after an adjustment phase in the Partially COVID period, a return to the status quo was reached.