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A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health.一种基于风险的模型预测控制方法在行为健康自适应干预中的应用
IEEE Trans Control Syst Technol. 2011 Jul 1;19(4):891-901. doi: 10.1109/TCST.2010.2052256.
2
New methods for tobacco dependence treatment research.烟草依赖治疗研究的新方法。
Ann Behav Med. 2011 Apr;41(2):192-207. doi: 10.1007/s12160-010-9252-y.
3
New directions in eHealth communication: opportunities and challenges.电子健康传播的新方向:机遇与挑战。
Patient Educ Couns. 2010 Mar;78(3):329-36. doi: 10.1016/j.pec.2010.01.013. Epub 2010 Mar 3.
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Design of experiments with multiple independent variables: a resource management perspective on complete and reduced factorial designs.具有多个自变量的实验设计:从资源管理角度看全因子设计和简化因子设计
Psychol Methods. 2009 Sep;14(3):202-24. doi: 10.1037/a0015826.
5
Effectiveness and safety of nicotine replacement therapy assisted reduction to stop smoking: systematic review and meta-analysis.尼古丁替代疗法辅助戒烟的有效性和安全性:系统评价与荟萃分析
BMJ. 2009 Apr 2;338:b1024. doi: 10.1136/bmj.b1024.
6
Developing and evaluating complex interventions: the new Medical Research Council guidance.开发与评估复杂干预措施:医学研究理事会新指南
BMJ. 2008 Sep 29;337:a1655. doi: 10.1136/bmj.a1655.
7
Multilevel analysis of the chronic care model and 5A services for treating tobacco use in urban primary care clinics.城市基层医疗诊所中用于治疗烟草使用的慢性病护理模式和5A服务的多层次分析。
Health Serv Res. 2009 Feb;44(1):103-27. doi: 10.1111/j.1475-6773.2008.00896.x. Epub 2008 Sep 8.
8
Extended use of nicotine replacement therapy to maintain smoking cessation in persons with schizophrenia.延长尼古丁替代疗法的使用以维持精神分裂症患者的戒烟。
Neuropsychiatr Dis Treat. 2005 Dec;1(4):349-55.
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Web-based smoking-cessation programs: results of a randomized trial.基于网络的戒烟项目:一项随机试验的结果
Am J Prev Med. 2008 May;34(5):373-81. doi: 10.1016/j.amepre.2007.12.024.
10
Using mediational models to explore the nature of tobacco motivation and tobacco treatment effects.使用中介模型探索烟草动机的本质和烟草治疗效果。
J Abnorm Psychol. 2008 Feb;117(1):94-105. doi: 10.1037/0021-843X.117.1.94.

多阶段优化策略在制定有效的烟草使用干预工程中的应用。

The multiphase optimization strategy for engineering effective tobacco use interventions.

机构信息

The Pennsylvania State University, University Park, USA.

出版信息

Ann Behav Med. 2011 Apr;41(2):208-26. doi: 10.1007/s12160-010-9253-x.

DOI:10.1007/s12160-010-9253-x
PMID:21132416
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3053423/
Abstract

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.

摘要

多阶段最优化策略(MOST)是一种新的方法学方法,用于构建、优化和评估多成分干预措施。MOST 概念上根植于工程学,强调效率和资源的精心管理,以稳步、逐步地推动干预科学的发展。MOST 可用于指导研究证据的评估、开发最佳干预措施(最佳干预成分组合),并促进研究结果的转化,特别是第二类型的转化。本文使用正在进行的一项研究,说明了 MOST 在评估源自贝克尔等人(Ann Behav Med,in press, 2011)综述的基于阶段框架的不同干预成分中的应用。本文还讨论了使用 MOST 和类似有原则的方法来提高干预效果、有效性和成本效益的相关考虑因素、挑战和潜在益处。这种方法的适用性可能不仅限于戒烟,还可以扩展到开发针对其他慢性健康挑战的行为干预措施。