探索针对性行为医学干预的改进措施以促进公众健康。
Exploring refinements in targeted behavioral medicine intervention to advance public health.
作者信息
King Abby C, Ahn David F, Atienza Audie A, Kraemer Helena C
机构信息
Stanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.
出版信息
Ann Behav Med. 2008 Jun;35(3):251-60. doi: 10.1007/s12160-008-9032-0. Epub 2008 Jun 21.
BACKGROUND
Similar to other fields, a targeted behavioral medicine perspective can aid decision-making related to participant-intervention matching.
PURPOSE
To present one potentially useful definition of intervention targeting activity; describe potential targeting domains of particular relevance to behavioral medicine; discuss different statistical approaches to aid the targeted intervention development process; and discuss the challenges and opportunities accompanying the incorporation of targeted intervention development methods into behavioral randomized clinical trial (RCT) research.
METHODS
Drawing from recent conceptual work by the MacArthur group and other scientists in the field, methods and approaches to undertaking moderator analysis are discussed.
RESULTS
Examples of moderator analyses are provided which reflect the different statistical methods and variable domains that may serve as moderators of intervention success.
CONCLUSIONS
The recommended exploratory work can help to make the most efficient use of RCTs to identify the best paths for subsequent RCT development in a resource-constrained era.
背景
与其他领域类似，有针对性的行为医学视角有助于与参与者 - 干预匹配相关的决策。
目的
提出干预靶向活动的一个潜在有用定义；描述与行为医学特别相关的潜在靶向领域；讨论有助于靶向干预开发过程的不同统计方法；并讨论将靶向干预开发方法纳入行为随机临床试验（RCT）研究所带来的挑战和机遇。
方法
借鉴麦克阿瑟小组和该领域其他科学家最近的概念性工作，讨论进行调节分析的方法和途径。
结果
提供了调节分析的示例，这些示例反映了可能作为干预成功调节因素的不同统计方法和变量领域。
结论
所推荐的探索性工作有助于在资源受限的时代最有效地利用随机对照试验，以确定后续随机对照试验开发的最佳路径。
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