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开发一个基于证据的方法框架以系统比较卫生技术评估覆盖决策:一项混合方法研究。

Developing an evidence-based methodological framework to systematically compare HTA coverage decisions: A mixed methods study.

作者信息

Nicod Elena, Kanavos Panos

机构信息

London School of Economics and Political Science, Social Policy, LSE Health, Houghton Street, WC2A 2AE London, UK.

London School of Economics and Political Science, Social Policy, LSE Health, Houghton Street, WC2A 2AE London, UK.

出版信息

Health Policy. 2016 Jan;120(1):35-45. doi: 10.1016/j.healthpol.2015.11.007. Epub 2015 Dec 4.

Abstract

Health Technology Assessment (HTA) often results in different coverage recommendations across countries for a same medicine despite similar methodological approaches. This paper develops and pilots a methodological framework that systematically identifies the reasons for these differences using an exploratory sequential mixed methods research design. The study countries were England, Scotland, Sweden and France. The methodological framework was built around three stages of the HTA process: (a) evidence, (b) its interpretation, and (c) its influence on the final recommendation; and was applied to two orphan medicinal products. The criteria accounted for at each stage were qualitatively analyzed through thematic analysis. Piloting the framework for two medicines, eight trials, 43 clinical endpoints and seven economic models were coded 155 times. Eighteen different uncertainties about this evidence were coded 28 times, 56% of which pertained to evidence commonly appraised and 44% to evidence considered by only some agencies. The poor agreement in interpreting this evidence (κ=0.183) was partly explained by stakeholder input (ns=48 times), or by agency-specific risk (nu=28 uncertainties) and value preferences (noc=62 "other considerations"), derived through correspondence analysis. Accounting for variability at each stage of the process can be achieved by codifying its existence and quantifying its impact through the application of this framework. The transferability of this framework to other disease areas, medicines and countries is ensured by its iterative and flexible nature, and detailed description.

摘要

卫生技术评估(HTA)常常导致同一药物在不同国家得到不同的覆盖建议,尽管采用了相似的方法。本文开发并试用了一个方法框架,该框架使用探索性序列混合方法研究设计,系统地识别这些差异的原因。研究国家为英格兰、苏格兰、瑞典和法国。该方法框架围绕HTA过程的三个阶段构建:(a)证据,(b)对证据的解读,以及(c)其对最终建议的影响;并应用于两种孤儿药品。通过主题分析对每个阶段所考虑的标准进行定性分析。对两种药物试用该框架,对八项试验、43个临床终点和七个经济模型进行了155次编码。关于该证据的18种不同不确定性被编码28次,其中56%与通常评估的证据有关,44%与仅被一些机构考虑的证据有关。通过对应分析得出的利益相关者投入(ns = 48次)、或机构特定风险(nu = 28种不确定性)和价值偏好(noc = 62种“其他考虑因素”),部分解释了在解读该证据时一致性较差的情况(κ = 0.183)。通过对过程各阶段的变异性进行编码,并应用该框架量化其影响,可以实现对变异性的考量。该框架的迭代性和灵活性以及详细描述确保了其可转移至其他疾病领域、药物和国家。

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