Developing multicomponent interventions using fractional factorial designs
Developing multicomponent interventions using fractional factorial designs
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DOI：
10.1002/sim.3643
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发表时间：
2009-09-20
影响因子：
2
通讯作者：
Murphy, Susan A.
中科院分区：
文献类型：
--
作者：
Chakraborty, Bibhas;Collins, Linda M.;Murphy, Susan A.
除了药物之外，由行为、交付或实施因素组成的多成分干预措施在健康科学中变得越来越普遍。开发和完善此类多成分干预措施的自然实验方法是从大量潜在成分开始，筛选出最不活跃的成分。在这项工作中可以有效地使用因子设计。我们解决了有关在这些筛选研究中使用因子设计的常见批评和误解。我们还提供筛选研究的实施。例如，我们考虑使用筛选研究来制定多成分戒烟干预措施。提供模拟结果来支持讨论。版权所有 (C) 2009 John Wiley & Sons, Ltd.
Multicomponent interventions composed of behavioral, delivery, or implementation factors in addition to medications are becoming increasingly common in health sciences. A natural experimental approach to developing and refining such multicomponent interventions is to start with a large number of potential components and screen out the least active ones. Factorial designs can be used efficiently in this endeavor. We address common criticisms and misconceptions regarding the use of factorial designs in these screening studies. We also provide an operationalization of screening studies. As an example, we consider the use of a screening study in the development of a multicomponent smoking cessation intervention. Simulation results are provided to support the discussions. Copyright (C) 2009 John Wiley & Sons, Ltd.