The Multiphase Optimization STrategy (MOST) is a framework that uses three phases-preparation, optimization, and evaluation-to develop multicomponent interventions that achieve intervention EASE by strategically balancing Effectiveness, Affordability, Scalability, and Efficiency. In implementation science, optimization of the intervention requires focus on the implementation strategies-things that we do to deliver the intervention-and implementation outcomes. MOST has been primarily used to optimize the components of the intervention related to behavioral or health outcomes. However, innovative opportunities to optimize discrete (i.e. single strategy) and multifaceted (i.e. multiple strategies) implementation strategies exist and can be done independently, or in conjunction with, intervention optimization. This article details four scenarios where the MOST framework and the factorial design can be used in the optimization of implementation strategies: (i) the development of new multifaceted implementation strategies; (ii) evaluating interactions between program components and a discrete or multifaceted implementation strategies; (iii) evaluating the independent effects of several discrete strategies that have been previously evaluated as a multifaceted implementation strategy; and (iv) modification of a discrete or multifaceted implementation strategy for the local context. We supply hypothetical school-based physical activity examples to illustrate these four scenarios, and we provide hypothetical data that can help readers make informed decisions derived from their trial data. This manuscript offers a blueprint for implementation scientists such that not only is the field using MOST to optimize the effectiveness of an intervention on a behavioral or health outcome, but also that the implementation of that intervention is optimized.
Keywords: implementation science; intervention optimization; methods; social theory; systems theory; youth.
The Multiphase Optimization STrategy (MOST) is a method used to create interventions that work well, are cost-effective, and can be used widely. Normally, MOST focuses on making interventions better at improving health or behaviors. This article demonstrates that MOST can also improve how interventions are implemented and provide four examples: (i) the development of a new multipart implementation plan; (ii) evaluating how different parts of an intervention and its implementation plan work together; (iii) evaluating how different parts of a multipart implementation plan work alone and in combination; and (iv) modification of an implementation plan for local context. This article is meant to help scientists who work on putting interventions into practice. It shows how MOST can make interventions better and make sure they are used well in different places. By focusing on both the intervention and the implementation plan, we can do a better job of using interventions that have been proven to work in real life.
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