复杂疗法的实用随机对照试验。

Q Medicine
Resch
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引用次数: 1

摘要

为了能够“预测”干预成功的程度或可能性,了解暴露和效果之间的因果关系至关重要。随机对照临床试验(RCT)通常被认为是确定因果关系的黄金标准。除了伦理限制或罕见疾病,很少不可能进行随机对照试验。然而,有时,由于患者或治疗师不愿参与、缺乏资金、组织限制或无法获得提供治疗的技术技能,随机对照试验可能不可行(至少乍一看)。为了克服这些问题,已经提出了多种设计方案,如临床首选治疗、单同意设计、双同意随机设计、预随机化、集群随机化和响应适应设计(“玩赢家”)。对于复杂的(“联合模式”)治疗,研究整个治疗方案对患者的影响而不是单个成分的价值似乎是合理的。改为开放标签或可选交叉允许在随机对照试验框架内进行“个体化治疗”和“个体化结果”。对于临床医生和研究人员来说,把重点放在寻找适合他们当前问题的合适设计上,而不是人为地将他们的研究调整为一个尴尬的标准设计(甚至放弃寻找一个开放问题的答案的想法),这似乎是明智的:存在的选择比人们想象的要多得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pragmatic Randomised Controlled Trials for Complex Therapies.

In order to be able to 'predict' the extent or likelihood of success of an intervention, it is essential to know that exposure and effect are causally related. The randomised controlled clinical trial (RCT) is commonly referred to as the golden standard to establish causality. Apart from ethical constraints or rare diseases it is rarely impossible to do an RCT. Sometimes, however, RCTs may not be feasible (at least at first glance) due to e. g. patients' or therapists' reluctance to participate, lack of funding, organisational limitations, or because technical skills to deliver a therapy are not available. A variety of design alternatives have been proposed to overcome these problems, e. g. clinician-preferred treatment, single consent design, double consent randomised design, prerandomisation, cluster randomisation, and response-adaptive designs ('play the winner'). For complex ('combined modality') therapies it seems reasonable to study the effect of the whole treatment package on the patient rather than the value of individual components. Change to open label or optional cross-over allow 'individualized treatment' as well as 'individualized outcome' within the framework of the RCT. For clinicians and researchers it seems wise to put more emphasis on the search for a suitable and appropriate de-sign for their current problem rather than to artificially tailor their study to an awkward standard design (or even abandon the idea to seek an answer to an open question): Much more alternatives exist than one would imagine.

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