Roberts Greg, Clemens Nathan, Doabler Christian T, Vaughn Sharon, Almirall Daniel, Nahum-Shani Inbal
University of Texas.
University of Michigan.
Except Child. 2021 Oct;88(1):8-25. doi: 10.1177/00144029211024141. Epub 2021 Nov 13.
This article introduces the special section on adaptive interventions and sequential multiple-assignment randomized trial (SMART) research designs. In addition to describing the two accompanying articles, we discuss features of adaptive interventions (AIs) and describe the use of SMART design to optimize AIs in the context of multitiered systems of support (MTSS) and integrated MTSS. AI is a treatment delivery model that explicitly specifies how information about individuals should be used to decide which treatment to provide in practice. Principles that apply to the design of AIs may help to more clearly operationalize MTSS-based programs, improve their implementation in school settings, and increase their efficacy when used according to evidence-based decision rules. A SMART is a research design for developing and optimizing MTSS-based programs. We provide a running example of a SMART design to optimize an MTSS-aligned AI that integrates academic and behavioral interventions.
本文介绍了关于适应性干预和序贯多分配随机试验(SMART)研究设计的专题。除了描述两篇配套文章外,我们还讨论了适应性干预(AI)的特点,并描述了在多层支持系统(MTSS)和综合MTSS背景下使用SMART设计来优化AI。AI是一种治疗实施模式,它明确规定了应如何利用个体信息来决定在实际中提供何种治疗。适用于AI设计的原则可能有助于更清晰地实施基于MTSS的项目,改善其在学校环境中的实施情况,并在根据循证决策规则使用时提高其效果。SMART是一种用于开发和优化基于MTSS的项目的研究设计。我们提供了一个SMART设计的实例,以优化一个整合了学术和行为干预的与MTSS一致的AI。