The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART) - New methods for more potent eHealth interventions
The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART) - New methods for more potent eHealth interventions
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DOI：
10.1016/j.amepre.2007.01.022
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发表时间：
2007-05-01
影响因子：
5.5
通讯作者：
Strecher, Victor
中科院分区：
文献类型：
--
作者：
Collins, Linda M.;Murphy, Susan A.;Strecher, Victor
在这篇文章中，两个新的方法来建立和评估电子健康干预措施。第一种是多阶段优化策略（MOST）。它包括一个筛选阶段，在这个阶段中，有效地确定干预措施的组成部分，以便根据其绩效将其纳入干预措施或予以拒绝;一个提炼阶段，在这个阶段中，对选定的组成部分进行微调，并调查诸如每一组成部分的最佳水平等问题;以及确认阶段，在该阶段中，由以最佳水平递送的所选组分组成的优化干预，在标准随机对照试验中进行评估。第二个是序贯多重分配随机试验（SNLART），这是一种创新的研究设计，特别适合于建立随时间变化的适应性干预措施。SMART试验可用于根据经验确定适应性干预的最佳定制变量和决策规则。MOST和SMART方法都使用随机实验来实现有效的推断。如果得到适当实施，这些方法将导致制定更有效的电子保健干预措施。
In this article two new methods for building and evaluating eHealth interventions are described. The first is the Multiphase Optimization Strategy (MOST). It consists of a screening phase, in which intervention components are efficiently identified for inclusion in an intervention or for rejection, based on their performance; a refining phase, in which the selected components are fine tuned and issues such as optimal levels of each component are investigated; and a confirming phase, in which the optimized intervention, consisting of the selected components delivered at optimal levels, is evaluated in a standard randomized controlled trial. The second is the Sequential Multiple Assignment Randomized Trial (SNLART), which is an innovative research design especially suited for building time-varying adaptive interventions. A SMART trial can be used to identify the best tailoring variables and decision rules for an adaptive intervention empirically. Both the MOST and SMART approaches use randomized experimentation to enable valid inferences. When properly implemented, these approaches will lead to the development of more potent eHealth interventions.