• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

支持卫生政策决策的药品支出预测模型

Pharmaceutical expenditure forecast model to support health policy decision making.

作者信息

Rémuzat Cécile, Urbinati Duccio, Kornfeld Åsa, Vataire Anne-Lise, Cetinsoy Laurent, Aballéa Samuel, Mzoughi Olfa, Toumi Mondher

机构信息

Creativ-Ceutical France, 215 rue du Faubourg Saint-Honoré, 75008 Paris, France.

University Claude Bernard Lyon I, UFR d'Odontologie, 11 rue Guillaume Paradin, 69372, Lyon, Cedex 08, France.

出版信息

J Mark Access Health Policy. 2014 Jun 4;2. doi: 10.3402/jmahp.v2.23740. eCollection 2014.

DOI:10.3402/jmahp.v2.23740
PMID:27226830
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4865740/
Abstract

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.

摘要

背景与目的

鉴于医疗保健支付方一直面临控制药品预算的压力,模拟政策决策的影响变得至关重要。本项目的目的是测试各种政策决策对药品预算的影响(该模型是为欧盟委员会的“欧盟药品支出预测”项目开发的——http://ec.europa.eu/health/healthcare/key_documents/index_en.htm)。

方法

构建了一个模型,以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)药品预算的影响。测试了以下情景:将英国政策扩展至欧盟、改变市场准入时间、调整仿制药价格和渗透率、改变生物类似药的分销链(零售/医院)。

结果

应用英国政策为德国带来了大幅节省(是基础案例预测的10倍),为法国和葡萄牙带来了大量额外节省(分别是基础案例预测的2倍和4倍)。发现推迟市场准入时间是降低药品支出的一个非常有力的工具。应用欧盟透明度指令(定价和报销的6个月流程)使所有国家的药品支出增加(从基础案例预测的1.1倍到4倍),德国除外(额外节省)。降低仿制药价格、提高渗透率以及通过医院链改变生物类似药的分销也是降低药品支出的关键方法。所有国家报销率提高到100%导致药品预算大幅增加。

结论

预测药品支出是为政策决策者提供信息的一项关键工作。该模型确定的对药品预算最重要的影响因素是由仿制药和生物类似药的价格、渗透率和分销驱动的。即使略微降低仿制药价格也会对节省产生重大影响。然而,仿制药和生物类似药产品的激进定价可能会使这个市场缺乏吸引力,并且可能适得其反。值得注意的是,推迟创新产品的准入时间也被确定为增加节省的有效手段,但对于突破性产品可能不是一个理想的政策。直接或通过其私人保险间接增加患者的经济贡献,比扩大国家药品支出覆盖范围更有可能成为一种情景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd7/4865740/c78f993d7f0f/JMAHP-2-23740-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd7/4865740/c78f993d7f0f/JMAHP-2-23740-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2cd7/4865740/c78f993d7f0f/JMAHP-2-23740-g001.jpg

相似文献

1
Pharmaceutical expenditure forecast model to support health policy decision making.支持卫生政策决策的药品支出预测模型
J Mark Access Health Policy. 2014 Jun 4;2. doi: 10.3402/jmahp.v2.23740. eCollection 2014.
2
EU pharmaceutical expenditure forecast.欧盟药品支出预测。
J Mark Access Health Policy. 2014 Oct 30;2. doi: 10.3402/jmahp.v2.23738. eCollection 2014.
3
Novel methodology for pharmaceutical expenditure forecast.药品支出预测的新方法。
J Mark Access Health Policy. 2014 Nov 27;2. doi: 10.3402/jmahp.v2.24082. eCollection 2014.
4
Key drivers for market penetration of biosimilars in Europe.欧洲生物类似药市场渗透的关键驱动因素。
J Mark Access Health Policy. 2017 Jan 30;5(1):1272308. doi: 10.1080/20016689.2016.1272308. eCollection 2017.
5
Policies to Encourage the Use of Biosimilars in European Countries and Their Potential Impact on Pharmaceutical Expenditure.欧洲国家鼓励使用生物类似药的政策及其对药品支出的潜在影响。
Front Pharmacol. 2021 Jun 25;12:625296. doi: 10.3389/fphar.2021.625296. eCollection 2021.
6
Supply-side and demand-side policies for biosimilars: an overview in 10 European member states.生物类似药的供应方和需求方政策:10个欧洲成员国概述
J Mark Access Health Policy. 2017 Apr 28;5(1):1307315. doi: 10.1080/20016689.2017.1307315. eCollection 2017.
7
Adoption of Biosimilar Infliximab for Rheumatoid Arthritis, Ankylosing Spondylitis, and Inflammatory Bowel Diseases in the EU5: A Budget Impact Analysis Using a Delphi Panel.欧盟五国生物类似药英夫利昔单抗用于类风湿性关节炎、强直性脊柱炎和炎性肠病的采用情况:使用德尔菲专家小组的预算影响分析
Front Pharmacol. 2017 May 31;8:322. doi: 10.3389/fphar.2017.00322. eCollection 2017.
8
Overview of external reference pricing systems in Europe.欧洲外部参考定价系统概述。
J Mark Access Health Policy. 2015 Sep 10;3. doi: 10.3402/jmahp.v3.27675. eCollection 2015.
9
Generic drug prices and policy in Australia: room for improvement? a comparative analysis with England.澳大利亚的仿制药价格与政策:有改进空间吗?与英国的比较分析。
Aust Health Rev. 2014 Feb;38(1):6-15. doi: 10.1071/AH12009.
10
Impact of cross-reference pricing on pharmaceutical prices: manufacturers' pricing strategies and price regulation.交叉参考定价对药品价格的影响:制造商的定价策略与价格监管
Appl Health Econ Health Policy. 2006;5(4):235-47. doi: 10.2165/00148365-200605040-00005.

引用本文的文献

1
Projections of Public Spending on Pharmaceuticals: A Review of Methods.药品公共支出预测:方法综述
Pharmacoeconomics. 2025 Apr;43(4):375-388. doi: 10.1007/s40273-024-01465-w. Epub 2025 Jan 11.
2
Forecasting drug utilization and expenditure: ten years of experience in Stockholm.预测药物利用和支出:斯德哥尔摩十年的经验。
BMC Health Serv Res. 2020 May 11;20(1):410. doi: 10.1186/s12913-020-05170-0.
3
Assessing the Value of Biosimilars: A Review of the Role of Budget Impact Analysis.评估生物类似药的价值:预算影响分析的作用综述。
Pharmacoeconomics. 2017 Oct;35(10):1047-1062. doi: 10.1007/s40273-017-0529-x.
4
The Rituximab Biosimilar CT-P10 in Rheumatology and Cancer: A Budget Impact Analysis in 28 European Countries.利妥昔单抗生物类似药CT-P10在风湿病学和肿瘤学中的应用:28个欧洲国家的预算影响分析
Adv Ther. 2017 May;34(5):1128-1144. doi: 10.1007/s12325-017-0522-y. Epub 2017 Apr 10.