优化方法与实施科学：行为和生物行为干预的一个机遇
Optimization Methods and Implementation Science: An Opportunity for Behavioral and Biobehavioral Interventions.
作者信息
Guastaferro Kate, Collins Linda M
机构信息
Department of Human Development and Family Studies, The Pennsylvania State University.
Departments of Social and Behavioral Sciences and Biostatistics, School of Global Public Health, New York University.
出版信息
Implement Res Pract. 2021 Oct 29;2:26334895211054363. doi: 10.1177/26334895211054363. eCollection 2021 Jan-Dec.
Abstract
This editorial introduces the multiphase optimization strategy (MOST), a principled framework for the development, optimization and evaluation of multicomponent interventions, to the field of implementation science. We suggest that MOST may be integrated with implementation science to advance the field, moving closer towards the ultimate goal of disseminating effective interventions to those in need. We offer three potential ways MOST may advance implementation science: (1) development of an effective and immediately scalable intervention; (2) adaptation of interventions to local contexts; and (3) optimization of the implementation of an intervention itself. Our goal is to inspire the integration of MOST with implementation science across a number of public health contexts.
摘要
本社论向实施科学领域介绍了多阶段优化策略（MOST），这是一种用于多成分干预措施开发、优化和评估的原则性框架。我们认为，MOST可与实施科学相结合，以推动该领域发展，更接近将有效干预措施传播给有需要者的最终目标。我们提出MOST推动实施科学发展的三种潜在方式：（1）开发有效且可立即扩展的干预措施；（2）使干预措施适应当地情况；（3）优化干预措施本身的实施。我们的目标是激发MOST与实施科学在众多公共卫生背景下的整合。
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3
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