Framework for design and evaluation of complex interventions to improve health
Framework for design and evaluation of complex interventions to improve health
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DOI：
10.1136/bmj.321.7262.694
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发表时间：
2000-09-16
影响因子：
--
通讯作者：
Tyrer, P
中科院分区：
文献类型：
--
作者：
Campbell, M;Fitzpatrick, R;Tyrer, P
随机对照试验被广泛认为是确定有效性的最可靠方法，但大多数试验都评估了单一干预措施的效果，如药物。越来越多的人认识到，其他非药物干预措施也应得到严格评估。1-3这篇文章考察了解决复杂干预评估所产生的额外问题所需的研究的设计和执行--也就是那些“由各种相互关联的部分组成”的问题。4医学研究理事会的一篇较长的论文(WWW.MRC.交流电。UK/Complex_Packages。HTML)。我们专注于随机试验，但相信这种方法可以在更合适的时候适用于其他设计。
Randomised controlled trials are widely accepted as the most reliable method of determining effectiveness, but most trials have evaluated the effects of a single intervention such as a drug. Recognition is increasing that other, non-pharmacological interventions should also be rigorously evaluated. 1-3 This paper examines the design and execution of research required to address the additional problems resulting from evaluation of complex interventions—that is, those “made up of various interconnecting parts.” 4 The issues dealt with are discussed in a longer Medical Research Council paper (www. mrc. ac. uk/complex_packages. html). We focus on randomised trials but believe that this approach could be adapted to other designs when they are more appropriate.