The Use of Real-World Data for Estimating Relative Treatment Effects in NICE Health Technology Assessment Submissions: A Review.

IF 4.4 3区 医学 Q1 ECONOMICS PharmacoEconomics Pub Date : 2024-11-09 DOI:10.1007/s40273-024-01449-w
Yoojung Che, Stephen Duffield, Manuel Gomes
{"title":"The Use of Real-World Data for Estimating Relative Treatment Effects in NICE Health Technology Assessment Submissions: A Review.","authors":"Yoojung Che, Stephen Duffield, Manuel Gomes","doi":"10.1007/s40273-024-01449-w","DOIUrl":null,"url":null,"abstract":"<p><p>This paper investigates the current use of real-world data (RWD) for estimating relative treatment effects in National Institute for Health and Care Excellence (NICE) health technology assessment (HTA) submissions. This review included 64 HTA submissions, which accounted for approximately 11% of the total NICE HTA submissions between January 2016 and December 2023. The main sources of RWD considered in the submissions were disease registries and electronic health records. RWD were primarily used to provide an external control arm to enable comparisons within single-arm trials and to inform long-term treatment effects when extrapolating survival data beyond the trial follow-up. Adjustments for potential systematic differences between treatment groups have improved over time; however, approximately one-third of the submissions still relied on unadjusted treatment comparisons. We found that approximately 10% of NICE HTA submissions used RWD to directly inform treatment effects estimation. Over one-third of the submissions relied on naïve and/or unadjusted treatment comparisons, which may have introduced biases. To ensure that RWD provide sound evidence for HTA, submissions should follow published guidelines, including the NICE real-world evidence (RWE) framework.</p>","PeriodicalId":19807,"journal":{"name":"PharmacoEconomics","volume":" ","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PharmacoEconomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s40273-024-01449-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

This paper investigates the current use of real-world data (RWD) for estimating relative treatment effects in National Institute for Health and Care Excellence (NICE) health technology assessment (HTA) submissions. This review included 64 HTA submissions, which accounted for approximately 11% of the total NICE HTA submissions between January 2016 and December 2023. The main sources of RWD considered in the submissions were disease registries and electronic health records. RWD were primarily used to provide an external control arm to enable comparisons within single-arm trials and to inform long-term treatment effects when extrapolating survival data beyond the trial follow-up. Adjustments for potential systematic differences between treatment groups have improved over time; however, approximately one-third of the submissions still relied on unadjusted treatment comparisons. We found that approximately 10% of NICE HTA submissions used RWD to directly inform treatment effects estimation. Over one-third of the submissions relied on naïve and/or unadjusted treatment comparisons, which may have introduced biases. To ensure that RWD provide sound evidence for HTA, submissions should follow published guidelines, including the NICE real-world evidence (RWE) framework.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在 NICE 健康技术评估报告中使用真实世界数据估算相对治疗效果:综述。
本文调查了目前在国家健康与护理优化研究所(NICE)提交的健康技术评估(HTA)中使用真实世界数据(RWD)估算相对治疗效果的情况。本次审查包括 64 份 HTA 呈文,约占 2016 年 1 月至 2023 年 12 月期间 NICE HTA 呈文总数的 11%。呈文中考虑的RWD主要来源是疾病登记和电子健康记录。RWD主要用于提供外部对照臂,以便在单臂试验中进行比较,并在推断试验随访后的生存数据时了解长期治疗效果。随着时间的推移,对治疗组之间潜在的系统性差异进行调整的做法有所改进;但是,约有三分之一的呈文仍依赖于未经调整的治疗比较。我们发现,约有 10% 的 NICE HTA 呈文使用 RWD 直接为治疗效果估算提供信息。超过三分之一的呈文依赖于天真和/或未经调整的治疗比较,这可能会带来偏差。为确保 RWD 为 HTA 提供可靠的证据,提交的文件应遵循已发布的指南,包括 NICE 真实世界证据 (RWE) 框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
PharmacoEconomics
PharmacoEconomics 医学-药学
CiteScore
8.10
自引率
9.10%
发文量
85
审稿时长
6-12 weeks
期刊介绍: PharmacoEconomics is the benchmark journal for peer-reviewed, authoritative and practical articles on the application of pharmacoeconomics and quality-of-life assessment to optimum drug therapy and health outcomes. An invaluable source of applied pharmacoeconomic original research and educational material for the healthcare decision maker. PharmacoEconomics is dedicated to the clear communication of complex pharmacoeconomic issues related to patient care and drug utilization. PharmacoEconomics offers a range of additional features designed to increase the visibility, readership and educational value of the journal’s content. Each article is accompanied by a Key Points summary, giving a time-efficient overview of the content to a wide readership. Articles may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand the scientific content and overall implications of the article.
期刊最新文献
Cost and Cost Effectiveness of Treatments for Psoriatic Arthritis: An Updated Systematic Literature Review. Effects and Costs of Hepatitis C Virus Elimination for the Whole Population in China: A Modelling Study. MPES-R: Multi-Parameter Evidence Synthesis in R for Survival Extrapolation-A Tutorial. Different Models, Same Results: Considerations When Choosing Between Approaches to Model Cost Effectiveness of Chimeric-Antigen Receptor T-Cell Therapy Versus Standard of Care. Evidence Following Conditional NICE Technology Appraisal Recommendations: A Critical Analysis of Methods, Quality and Risk of Bias.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1