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首页> 外文期刊>Annals of behavioral medicine : >The multiphase optimization strategy for engineering effective tobacco use interventions.
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The multiphase optimization strategy for engineering effective tobacco use interventions.

机译：工程有效烟草使用干预措施的多阶段优化策略。

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摘要

The multiphase optimization strategy (MOST) is a new methodological approach for building, optimizing, and evaluating multicomponent interventions. Conceptually rooted in engineering, MOST emphasizes efficiency and careful management of resources to move intervention science forward steadily and incrementally. MOST can be used to guide the evaluation of research evidence, develop an optimal intervention (the best set of intervention components), and enhance the translation of research findings, particularly type II translation. This article uses an ongoing study to illustrate the application of MOST in the evaluation of diverse intervention components derived from the phase-based framework reviewed in the companion article by Baker et al. (Ann Behav Med, in press, 2011). The article also discusses considerations, challenges, and potential benefits associated with using MOST and similar principled approaches to improving intervention efficacy, effectiveness, and cost-effectiveness. The applicability of this methodology may extend beyond smoking cessation to the development of behavioral interventions for other chronic health challenges.
机译：多阶段优化策略（MOST）是一种用于构建，优化和评估多组件干预措施的新方法。 MOST从概念上植根于工程技术，强调效率和对资源的谨慎管理，以逐步稳定地推进干预科学。 MOST可用于指导研究证据的评估，制定最佳干预措施（最佳干预措施集）以及增强研究结果的翻译，尤其是II型翻译。本文使用一项正在进行的研究来说明MOST在评估各种干预措施组件中的应用，这些组件源自Baker等在其配套文章中回顾的基于阶段的框架。 （Ann Behav Med，印刷中，2011年）。本文还讨论了与使用MOST和类似原则性方法以提高干预效果，效果和成本效益相关的考虑因素，挑战和潜在收益。该方法的适用范围可能不仅限于戒烟，还包括针对其他慢性健康挑战的行为干预措施的开发。

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