Suppr超能文献

加速阿尔茨海默病药物创新,从研究管道到患者。

Accelerating Alzheimer's disease drug innovations from the research pipeline to patients.

机构信息

Leonard D. Schaeffer Chair and Distinguished Professor of Public Policy, Pharmacy, and Economics, University of Southern California, Los Angeles, CA, USA.

Founding Executive Director and Chief Science Officer, Alzheimer's Drug Discovery Foundation, New York, NY, USA.

出版信息

Alzheimers Dement. 2018 Jun;14(6):833-836. doi: 10.1016/j.jalz.2018.02.007. Epub 2018 Apr 18.

Abstract

In June 2017, a diverse group of experts in Alzheimer's disease convened to discuss how to accelerate getting new drugs to patients to both prevent and treat the disease. Participants concluded that we need a more robust, diversified drug development pipeline. Strategic policy measures can help keep new Alzheimer's disease therapies (whether to treat symptoms, prevent onset, or cure) affordable for patients while supporting innovation and facilitating greater information sharing among payers, providers, researchers, and the public, including a postmarket surveillance study system, disease registries, innovative payment approaches, harmonizing federal agency review requirements, allowing conditional coverage for promising therapeutics and technology while additional data are collected, and opening up channels for drug companies to communicate with payers (and each other) about data and outcomes. To combat reimbursement issues, policy makers should address the latency time between potential treatment-which may be costly and fall on private payers-and societal benefits that accrue elsewhere.

摘要

2017 年 6 月,一组多样化的阿尔茨海默病专家聚集在一起,讨论如何加快向患者提供新药,以预防和治疗这种疾病。与会者得出的结论是,我们需要一个更强大、更多样化的药物开发管道。战略政策措施可以帮助保持新的阿尔茨海默病疗法(无论是治疗症状、预防发病还是治愈)对患者负担得起,同时支持创新,并促进支付方、提供者、研究人员和公众之间的更多信息共享,包括上市后监测研究系统、疾病登记处、创新支付方式、协调联邦机构审查要求、允许有条件地覆盖有前途的治疗方法和技术,同时收集更多数据,以及为制药公司与支付方(和彼此)就数据和结果进行沟通开辟渠道。为了解决报销问题,政策制定者应该解决潜在治疗方法(可能成本高昂,由私人支付者承担)与其他地方产生的社会效益之间的时滞问题。

相似文献

4

引用本文的文献

1
Color Fundus Photography and Deep Learning Applications in Alzheimer Disease.彩色眼底摄影及深度学习在阿尔茨海默病中的应用
Mayo Clin Proc Digit Health. 2024 Dec;2(4):548-558. doi: 10.1016/j.mcpdig.2024.08.005. Epub 2024 Aug 26.

本文引用的文献

1
Alzheimer's disease drug development pipeline: 2017.2017年阿尔茨海默病药物研发进展
Alzheimers Dement (N Y). 2017 May 24;3(3):367-384. doi: 10.1016/j.trci.2017.05.002. eCollection 2017 Sep.
4
2016 Alzheimer's disease facts and figures.2016 年阿尔茨海默病事实和数据。
Alzheimers Dement. 2016 Apr;12(4):459-509. doi: 10.1016/j.jalz.2016.03.001.
5
The Value of Delaying Alzheimer's Disease Onset.延迟阿尔茨海默病发病的价值。
Forum Health Econ Policy. 2014 Nov;18(1):25-39. doi: 10.1515/fhep-2014-0013. Epub 2014 Nov 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验