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Pharmaceutical expenditure forecast model to support health policy decision making

机译:药品支出预测模型可支持卫生政策决策

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Background and objective: With constant incentives for healthcare payers to contain their pharmaceutical budgets, modelling policy decision impact became critical. The objective of this project was to test the impact of various policy decisions on pharmaceutical budget (developed for the European Commission for the project ‘European Union (EU) Pharmaceutical expenditure forecast’ – http://ec.europa.eu/health/healthcare/key_documents/index_en.htm).Methods: A model was built to assess policy scenarios’ impact on the pharmaceutical budgets of seven member states of the EU, namely France, Germany, Greece, Hungary, Poland, Portugal, and the United Kingdom. The following scenarios were tested: expanding the UK policies to EU, changing time to market access, modifying generic price and penetration, shifting the distribution chain of biosimilars (retail/hospital).Results: Applying the UK policy resulted in dramatic savings for Germany (10 times the base case forecast) and substantial additional savings for France and Portugal (2 and 4 times the base case forecast, respectively). Delaying time to market was found be to a very powerful tool to reduce pharmaceutical expenditure. Applying the EU transparency directive (6-month process for pricing and reimbursement) increased pharmaceutical expenditure for all countries (from 1.1 to 4 times the base case forecast), except in Germany (additional savings). Decreasing the price of generics and boosting the penetration rate, as well as shifting distribution of biosimilars through hospital chain were also key methods to reduce pharmaceutical expenditure. Change in the level of reimbursement rate to 100% in all countries led to an important increase in the pharmaceutical budget.Conclusions: Forecasting pharmaceutical expenditure is a critical exercise to inform policy decision makers. The most important leverages identified by the model on pharmaceutical budget were driven by generic and biosimilar prices, penetration rate, and distribution. Reducing, even slightly, the prices of generics had a major impact on savings. However, very aggressive pricing of generic and biosimilar products might make this market unattractive and can be counterproductive. Worth noting, delaying time to access innovative products was also identified as an effective leverage to increase savings but might not be a desirable policy for breakthrough products. Increasing patient financial contributions, either directly or indirectly via their private insurances, is a more likely scenario rather than expanding the national pharmaceutical expenditure coverage.
机译:背景和目标:随着不断地鼓励医疗保健付款人控制其药品预算,建模政策决策影响变得至关重要。该项目的目的是测试各种政策决定对药品预算的影响(由欧洲委员会开发的“欧盟(EU)药品支出预测”项目– http://ec.europa.eu/health/healthcare /key_documents/index_en.htm)。方法:建立了一个模型来评估政策情景对欧盟七个成员国(即法国,德国,希腊,匈牙利,波兰,葡萄牙和英国)的药品预算的影响。测试了以下方案:将英国政策扩展到欧盟,改变市场准入时间,修改通用价格和渗透率,改变生物仿制药的分销链(零售/医院)。结果:应用英国政策为德国节省了大量资金( 10倍于基本案例预测)和法国和葡萄牙的大量额外节省(分别是基本案例预测的2倍和4倍)。人们发现推迟上市时间是减少药品支出的非常有力的工具。应用欧盟透明度指令(6个月的定价和报销流程)增加了所有国家的药品支出(从基本案例预测的1.1倍增加到4倍),德国除外(额外节省)。降低仿制药价格和提高渗透率,以及通过医院链改变生物仿制药的分布,也是减少药品支出的关键方法。在所有国家中,报销率水平都变为100%导致药品预算的显着增加。结论:预测药品支出是向决策者提供信息的一项重要工作。该模型在药品预算中确定的最重要的杠杆作用是由仿制药和生物仿制药的价格,渗透率和分销驱动的。仿制药价格甚至略有下降,对储蓄产生了重大影响。但是,仿制药和生物仿制药产品非常激进的定价可能会使该市场失去吸引力,并且会适得其反。值得注意的是,延迟访问创新产品的时间也被认为是增加储蓄的有效杠杆,但对于突破性产品而言可能不是理想的策略。直接或间接通过其私人保险增加患者的财政捐款是更可能的情况,而不是扩大国家药品支出的覆盖范围。

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