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英国和德国罕见病药物评估文件中考虑的证据质量与不确定性:一项数据提取方案。

Evidence quality and uncertainties considered in appraisal documents of drugs for rare diseases in England and Germany: a data extraction protocol.

作者信息

Wiedmann Lea, Nolte Ellen, Cairns John

机构信息

Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK

Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, UK.

出版信息

BMJ Open. 2025 Feb 16;15(2):e089418. doi: 10.1136/bmjopen-2024-089418.

DOI:10.1136/bmjopen-2024-089418
PMID:39956595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11831311/
Abstract

INTRODUCTION

Rare disease treatments (RDTs) promise considerable patient benefit but the evidence to demonstrate their value in health technology assessment (HTA) is often limited. HTA outcomes for RDTs vary across countries and there are differences in how uncertainty is dealt with by HTA agencies. Yet, there is limited comparative research assessing how different HTA agencies consider issues affecting evidence quality and uncertainty in RDT appraisals. This protocol describes a systematic and consistent approach for data extraction from RDT appraisal documents produced to inform decisions by HTA agencies. By documenting data extraction rules transparently, we ensure reproducibility and reliability of analyses of the extracted data.

METHODS AND ANALYSIS

We will select RDT appraisals issued by the National Institute for Health and Care Excellence (NICE) in England and the Federal Joint Committee (GBA) in Germany, using predefined inclusion criteria. We will extract data from appraisal documents in accordance with the rules set out in this protocol. We will analyse the extracted data to investigate how issues affecting evidence quality and uncertainty as documented in appraisals are considered, highlighting the similarities and differences between countries and identifying factors that are associated with HTA outcomes.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of the London School of Hygiene & Tropical Medicine (reference number 29156). Study results will be submitted for publication in peer-reviewed journals.

摘要

引言

罕见病治疗方法有望给患者带来显著益处,但在卫生技术评估(HTA)中证明其价值的证据往往有限。各国对罕见病治疗方法的HTA结果各不相同,而且HTA机构处理不确定性的方式也存在差异。然而,评估不同HTA机构如何考虑影响罕见病治疗评估中证据质量和不确定性问题的比较研究却很有限。本方案描述了一种从HTA机构用于决策的罕见病治疗评估文件中提取数据的系统且一致的方法。通过透明地记录数据提取规则,我们确保了对提取数据进行分析的可重复性和可靠性。

方法与分析

我们将使用预定义的纳入标准,选取英国国家卫生与临床优化研究所(NICE)和德国联邦联合委员会(GBA)发布的罕见病治疗评估。我们将根据本方案规定的规则从评估文件中提取数据。我们将对提取的数据进行分析,以研究评估中记录的影响证据质量和不确定性的问题是如何被考虑的,突出各国之间的异同,并确定与HTA结果相关的因素。

伦理与传播

本研究已获伦敦卫生与热带医学院伦理委员会批准(参考编号29156)。研究结果将提交至同行评审期刊发表。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a46/11831311/f37ec33fd987/bmjopen-15-2-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a46/11831311/f37ec33fd987/bmjopen-15-2-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a46/11831311/f37ec33fd987/bmjopen-15-2-g001.jpg

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本文引用的文献

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HTA criteria adopted in different models of public healthcare systems for orphan drugs: A scoping review.不同公共医疗体系模型中采用的罕见病药物 HTA 标准:范围综述。
Health Policy. 2024 Jun;144:105080. doi: 10.1016/j.healthpol.2024.105080. Epub 2024 May 6.
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Issues, Challenges and Opportunities for Economic Evaluations of Orphan Drugs in Rare Diseases: An Umbrella Review.
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Algorithms and heuristics of health technology assessments: A retrospective analysis of factors associated with HTA outcomes for new drugs across seven OECD countries.健康技术评估的算法和启发式方法:对七个经合组织国家新药 HTA 结果相关因素的回顾性分析。
Soc Sci Med. 2023 Aug;331:116045. doi: 10.1016/j.socscimed.2023.116045. Epub 2023 Jun 26.
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