适配干预研究进展

Research Progress of Adaptive Intervention

适配干预(AI)是一种以满足个体需求为导向,通过在决策点对个体的适配变量进行动态评估,及时调整并制定个性化方案的干预方法学。本文回顾AI的起源与发展,论述AI的核心要素即干预结局、干预方案、决策点、适配变量和适配规则,以及AI的分类。结合文献分析,从干预设计的优化方案与实施要点进行展望,以期为健康行为干预的研究发展提供依据。

Adaptive intervention(AI)is a methodology which dynamically evaluates adaptive variables at decision points and timely adjusts and develops tailored strategies to meet individual needs.The study reviewed the origin and development and elaborated the core elements(including intervention outcomes,intervention options,decision points,tailoring variables,and decision rules)and the classification of AI.Based on the literature,the key points of the design and implementation of AI were prospected,which can provide evidence for the research and development of health behavior intervention.