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Untangling the complexity of funding recommendations: a comparative analysis of health technology assessment outcomes in four European countries

机译:解开资金建议的复杂性:对四个欧洲国家的卫生技术评估结果进行比较分析

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ObjectivesududHealth Technology Assessment (HTA) agencies produce recommendations that guide public funding of pharmaceuticals, based on various criteria. We explored factors that may contribute to explaining differences in coverage decisions by the National Institute for Health and Care Excellence (NICE) in England and Wales, the Scottish Medicines Consortium (SMC), the Dutch College voor Zorgverzekeringen (CVZ), and the French Haute Autorité de Santé (HAS).udududMethodsududA dataset of 977 HTA decisions made in 2004–2009 was created. A three-category outcome variable was used (decision to ‘recommend’, ‘restrict’ or ‘not recommend’ a technology). Multivariate analyses explored impacts of clinical, economic, process and socio-economic variables in their decision making.udResultsudRelative to the CVZ and adjusting for a range of confounders, technologies were more likely to be recommended by NICE and HAS, and restricted or not-recommended by the SMC. Recommendation was significantly associated (p ≤ 0.10) with several variables: strength of clinical evidence (number of trials, use of active comparator-arm, demonstration of clinical superiority) orphan status and indication for cancer. Simultaneous assessment of multiple rather than single pharmaceuticals was associated with increased probability of restriction.ududConclusionsudIn this European multi-HTA study, appraisal outcomes differed significantly across HTA bodies. A range of evidence and non-evidence factors were associated with HTA decisions, confirming the value of comprehensive, multivariate analyses. Nevertheless, a large proportion of variance in HTA decisions remained unexplained, suggesting
机译:目标 ud ud卫生技术评估(HTA)机构根据各种标准提出建议,指导药品的公共资助。我们探究了可能有助于解释英格兰和威尔士国家卫生与照护卓越研究所(NICE),苏格兰医学协会(SMC),荷兰大学毕业生Zorgverzekeringen(CVZ)和法国高等院校在覆盖范围决定上的差异的因素。 ud ud udMethods ud ud创建了2004年至2009年做出的977项HTA决策数据集。使用了三类结果变量(决定“推荐”,“限制”或“不推荐”技术)。多变量分析探讨了临床,经济,过程和社会经济变量在其决策中的影响。 udResults ud相对于CVZ并针对一系列混杂因素进行调整,NICE和HAS更有可能推荐技术,且受限或SMC不建议使用。推荐与以下变量显着相关(p≤0.10):临床证据强度(试验次数,使用活动性比较器组,证明临床优越性)孤儿状态和癌症适应症。同时评估多种药物而不是单一药物与限制的可能性增加有关。 ud ud结论 ud在这项欧洲多HTA研究中,评估结果在各HTA机构之间存在显着差异。与HTA决策相关的一系列证据和非证据因素,证实了全面,多元分析的价值。然而,仍然无法解释HTA决策中的大部分差异,这表明

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