Real-world evidence for coverage decisions: opportunities and challenges
Author:
Affiliation:
1. Office of Health Economics, Southside, London, SW1E 6QT, UK
2. Institute for Clinical & Economic Review, Boston, MA, 02109, USA
3. Independent Consultant, UK
Abstract
Publisher
Future Medicine Ltd
Subject
Health Policy
Link
https://www.futuremedicine.com/doi/pdf/10.2217/cer-2018-0066
Reference30 articles.
1. Marchibroda J, Swope T, Watters S (2016). Bipartisan policy center. Using real-world-evidence to accelerate safe and effective cures: advancing medical innovation for a healthier America. https://bipartisanpolicy.org/wp-content/uploads/2016/06/BPC-Health-Innovation-Safe-Effective-Cures.pdf.
2. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives
3. Evaluation of Facebook and Twitter Monitoring to Detect Safety Signals for Medical Products: An Analysis of Recent FDA Safety Alerts
4. Hampson G, Towse A, Dreitlein B, Henshall C, Pearson S. Real-world evidence for coverage decisions: opportunities and challenges – a report from the 2017 ICER Membership Policy Summit. Office of Health Economics, London, UK (2018).
5. A framework to guide the optimal development and use of real-world evidence for drug coverage and formulary decisions
Cited by 60 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Lessons on the use of real-world data in medical device research: findings from the National Evaluation System for Health Technology Test-Cases;Journal of Comparative Effectiveness Research;2024-09
2. Real‐world evidence to support regulatory submissions: A landscape review and assessment of use cases;Clinical and Translational Science;2024-08
3. Up-front matching: an ongoing recruitment method for prospective observational studies that mimics randomization for selected baseline covariates;Journal of Biopharmaceutical Statistics;2024-07-22
4. Uncertainty in Long-Term Relative Effectiveness of Medicines in Health Technology Assessment;Value in Health;2024-07
5. Cross-sectional analysis of use of real-world data in single technology appraisals of oncological medicine by the National Institute for Health and Care Excellence in 2011–2021;BMJ Open;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3