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Infrastructure Requirements for Secondary Data Sources in Comparative Effectiveness Research

机译:比较有效性研究中辅助数据源的基础结构要求

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The growing interest in comparative effectiveness research (CER) has re-ignited the debate about the inadequacy of data from randomized controlled trials (RCTs) to address patient-centered decision making. Despite their well-known internal validity and use as the gold standard for regulatory decision making, the limitations of RCTs are widely recognized. In addition to their lack of statistical power due to inadequate sample size to address certain research hypotheses, practical and ethical considerations may preclude their viability. A case in point is the ethical dilemma in conducting an RCT to establish whether a diet high in fat content may be a risk factor for dementia, which might produce useful public health information but would not be acceptable in terms of protection of human subjects. Frequently, RCTs provide substantial information regarding the efficacy of drugs and other medical interventions, yet leave large gaps in evidence that would be relevant for medical decision making. Even when RCTs are carried out with this intent, they may not necessarily reflect "real-world" experience and, therefore may not provide sufficient evidence to guide patient-centered care.
机译:人们对比较有效性研究(CER)的兴趣日益浓厚,重新引发了关于随机对照试验(RCT)数据不足以解决以患者为中心的决策的争论。尽管RCT具有众所周知的内部有效性,并且已成为监管决策的黄金标准,但它们的局限性已广为人知。除了由于样本量不足以解决某些研究假设而缺乏统计能力外,实践和道德考量可能会排除其可行性。一个典型的例子是进行RCT来确定高脂肪饮食是否可能是痴呆症的危险因素时的道德困境,这可能会产生有用的公共卫生信息,但在保护人类方面是不可接受的。 RCT通常会提供有关药物和其他医学干预措施功效的大量信息,但在与医学决策相关的证据方面仍存在巨大空白。即使以这种意图进行RCT,它们也不一定反映“现实世界”的经验,因此可能无法提供足够的证据来指导以患者为中心的护理。

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