Real-world evidence to support Payer/HTA decisions about highly innovative technologies in the EU—actions for stakeholders

Author:

Facey Karen M.ORCID,Rannanheimo Piia,Batchelor Laura,Borchardt Marine,de Cock Jo

Abstract

ObjectivesThere are divergent views on the potential of real-world data (RWD) to inform decisions made by regulators, health technology assessment (HTA) bodies, payers, clinicians, and patients. This RWE4Decisions initiative explored the particularly challenging setting of highly innovative technologies, which require Payers/HTAs to make decisions on a small evidence base with major uncertainties. The aim was to go beyond strategic intent to consider actions that each stakeholder could take to improve use of RWD in this setting.ResultsCase studies of recent Payer/HTA decisions about highly innovative technologies were considered in light of recent international initiatives about RWD. This showed a lack of clarity about the Payer/HTA questions that could be answered by RWD and how the quality of real-world evidence (RWE) could be assessed. All stakeholders worked together to create a vision whereby stakeholders agree what RWD can be collected for highly innovative technologies based on principles of collaboration and transparency. For each stakeholder group, recommended actions to support the generation, analysis, and interpretation of RWD to inform decision making were developed. For HTA bodies, this includes cross border HTA/regulatory collaboration to agree RWD requirements over the technology life cycle to inform initial recommendations and reassessment, data analytics methods development for HTA, and promotion of transparency in RWE studies.RecommendationsStakeholders need to collaborate on demonstration projects to consider how RWE can be developed to inform healthcare decisions and contribute to a learning network that can develop systems to support a learning health system and improve patient outcomes through best use of RWD.

Publisher

Cambridge University Press (CUP)

Subject

Health Policy

Reference26 articles.

1. 7. US Food & Drug Administration (FDA). [Internet] Framework for FDA's Real-World Evidence Program. December 2018 [cited 2020 Mar 4] Available from: https://www.fda.gov/science-research/science-and-research-special-topics/real-world-evidence

2. 3. INAMI/RIZIV Annemans, L . [Internet] The use of real world data throughout an innovative medicine's lifecycle. 2016 [cited 2020 Mar 3]. Available from: https://www.inami.fgov.be/SiteCollectionDocuments/real_world_data.docx

3. 19. European Commission. [Internet]. A European strategy for data. Brussels, 19.2.2020. COM(2020)

4. 66 final: pp. 23, 30-31 [cited 2020 Mar 11]. Available from: https://ec.europa.eu/info/sites/info/files/communication-european-strategy-data-19feb2020_en.pdf.

5. TRUST4RD: tool for reducing uncertainties in the evidence generation for specialised treatments for rare diseases

同舟云学术

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