NICE 有条件技术评估建议后的证据:对方法、质量和偏差风险的批判性分析。

IF 4.4 3区 医学 Q1 ECONOMICS PharmacoEconomics Pub Date : 2024-12-01 Epub Date: 2024-09-09 DOI:10.1007/s40273-024-01418-3
Yankier Pijeira Perez, Dyfrig A Hughes
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引用次数: 0

摘要

背景:美国国家健康与护理优化研究所(NICE)在批准医疗技术时,可能会要求提供更多的仅在研究中产生的证据(OiR)或仅在研究中产生的证据(OwR)。目的:本研究旨在对 NICE OiR 和 OwR 技术评估(TA)及高度专业化技术(HSTs)建议所产生的证据的方法、质量和偏倚风险进行批判性评估:对 NICE TA(2000 年 3 月至 2020 年 9 月)和 HST 评估(至 2023 年 10 月)的药品进行了审查。对有条件的建议进行分析,以确定 NICE 要求重新评估的证据。分析新证据是否符合 NICE 的要求,并使用 Cochrane 协作组织的随机试验偏倚风险工具和 ROBINS-I 工具对非随机证据进行评估:NICE 从 TAs 中提出了 54 项有条件建议(13 项 OiR 和 41 项 OwR),为 HST 提出了 5 项有条件建议(均为 OwR)。其中,16 份 TAs 提供了额外的证据以供重新评估(9 份 OiR [69%] 和 7 份 OwR [17%]),3 份 HSTs 提供了额外的证据以供重新评估(3 份 OwR [60%])。在 9 个被重新评估的 TA 中,有 2 个提出了 OiR 建议,在 7 个 OwR 中,有 4 个完全符合 NICE 提出的提供进一步证据的要求,而在 HST 中,所有 3 个都符合 NICE 的要求。大多数重新评估的 TA 和 HST 包含的证据被认为存在严重、高度、中度或不明确的偏倚风险。在接受评估的26项TA随机对照试验中,有8项在所有领域都被归类为低偏倚风险,10项至少有一个领域被归类为高偏倚风险。其余研究的报告尚不明确。22 项非随机研究(主要是单臂研究)容易出现偏倚,主要原因是参与者的选择和混杂因素。两项 HST 提供了随机对照试验的证据,这些证据被归类为不明确或高偏倚风险。所有来自 HST 的非随机证据均被归类为中度或严重偏倚风险:结论:在回应 NICE 有条件批准建议时,普遍存在不遵守约定数据要求的情况,提交的证据质量也存在很大差异。在 NICE 提出有条件批准建议后,应规定有助于重新评估的证据的质量标准。
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Evidence Following Conditional NICE Technology Appraisal Recommendations: A Critical Analysis of Methods, Quality and Risk of Bias.

Background: The National Institute for Health and Care Excellence (NICE) may approve health technologies on condition of more evidence generated only in research (OiR) or only with research (OwR). NICE specifies the information needed to comply with its request, although it may not necessarily guarantee good quality and timely evidence for re-appraisal, before reaching a final decision.

Aim: This study aimed to critically appraise the methods, quality and risk of bias of evidence generated in response to NICE OiR and OwR technology appraisal (TA) and highly specialised technologies (HSTs) recommendations.

Methods: NICE TAs (between March 2000 and September 2020) and HST evaluations (to October 2023) of medicines were reviewed. Conditional recommendations were analysed to identify the evidence requested by NICE for re-appraisal. The new evidence was analysed for compliance with NICE's request and assessed using the Cochrane Collaboration's tools for risk of bias in randomised trials and the ROBINS-I tool for non-randomised evidence.

Results: NICE made 54 conditional recommendations from TAs (13 OiR and 41 OwR) and five conditional recommendations for HSTs (all OwR). Of these, 16 TAs presented additional evidence for re-appraisal (9 OiR [69%] and 7 OwR [17%]) and three HSTs (3 OwR [60%]). Two of the nine re-appraised TAs with OiR recommendation and four of the seven OwR complied fully with NICE's request for further evidence, while all three from the HSTs complied. The majority of re-appraised TAs and HSTs included evidence that was deemed to be at serious, high, moderate or unclear risk of bias. Among the 26 randomised controlled trials from TAs assessed, eight were categorised as having low risk of bias in all domains and ten had at least one domain as a high risk of bias. Reporting was unclear for the remainder. Twenty-two non-randomised studies, primarily single-arm studies, were susceptible to biases mostly due to the selection of participants and to confounding. Two HSTs provided evidence from randomised controlled trials which were classified as unclear or high risk of bias. All non-randomised evidence from HSTs were categorised as moderate or serious risk of bias.

Conclusions: There is widespread non-compliance with agreed data requests and important variation in the quality of evidence submitted in response to NICE conditional approval recommendations. Quality standards ought to be stipulated in respect to evidence contributing to re-appraisals following NICE conditional approval recommendations.

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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.
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