A COST-UTILTY ANALYSIS OF VENLAFAXINE XR COMPARED WITH DULOXETINE AND SSRIS FOR THE TREATMENT OF MAJOR DEPRESSIVE DISORDER IN ITALY

C. Graham, H. Narula,L. Z. Liu,D. Keohane, R. Di Virgilio

European Psychiatry(2014)

引用 0|浏览2
暂无评分
摘要
Introduction Depression is a highly prevalent disease and its costs can be burdensome to both patients and payers. Objectives To compare the short-term costs, outcomes, and cost-effectiveness associated with major depressive disorder (MDD) treatment with venlafaxine XR and major market comparators (duloxetine and two selective serotonin reuptake inhibitors [SSRIs], namely escitalopram and sertraline HCL) in Italy from the Italian National Health Service perspective. Aims To inform treatment decisions based on cost effectiveness of MDD treatments. Methods A decision tree structure was used to model MDD treatment over 1 year. Patients were treated with one of the model comparators and based on published clinical literature; either remained depressed, achieved response but no remission, or achieved remission. Drug costs were set to the reimbursed price for the recommended dose of each treatment. Costs of hospitalization and utility weights were based on depression status. Results Venlafaxine XR was estimated to be the most effective treatment (0.736 quality-adjusted life years [QALYs]) followed by the SSRIs (0.731) and duloxetine (0.714). Total annual MDD-related costs for venlafaxine (€691) were estimated to be lower than all comparators (duloxetine=€1,308, escitalopram=€874) except sertraline HCL (€638), owing largely to drug cost differences and hospitalization savings associated with better projected depression status. Venlafaxine was cost-saving (more effective, less costly) compared with duloxetine and escitalopram. The incremental cost per QALY gained vs. sertraline HCL was €9,844. Conclusions Based on the model, venlafaxine XR represents a cost-effective treatment option for MDD in Italy and may result in costsavings depending on the comparison.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要