Core 1: Design and Optimization Core (Optimization Core)

项目摘要 拟议方案项目的一个主要目标是开发一个优化的吸烟保健系统 方案(全面慢性护理吸烟治疗方案：CCCSTOP)。这将是 使用多阶段优化策略(MOST)完成的，这是一种受工程启发的方法 开发、优化和评估多组分治疗的框架。设计与实现 优化核心通过提供集中的专业知识和支持资源为计划项目提供服务 与这一创新方法有关。具体目标将是：1)支持和服务于知识分子 MOST应用程序的资源，用于开发、优化和评估CCCSTOP。来进行研究 在本计划项目申请中提出的，将有必要整合数据和实质性知识 关于戒烟的方法专业知识，如有效的实验设计和 统计分析。还有必要根据以下结果进行复杂的决策 实验。该核心将促进、支持和协调这些工作，并与数据密切合作 分析核心。2)与其他项目调查员合作，完善和进一步发展MOST框架 以及相关的方法工具，以加强本计划项目的工作。需要改进的一个方面是 应用决策分析的思想和程序，将MOST的应用扩展到更多 现实但也更复杂的情况，其中在确定的过程中考虑了多种结果 优化的治疗策略(例如，通过使用多标准决策分析)。这一过程将是 在这个项目中实施，并将作为其他正在优化癌症干预措施的人的资源 干预措施针对不止一种结果的预防和治疗。3)传播最多的 向癌症控制研究界提供方法和相关方法工具。精细化的决定- 制作程序和相关方法工具将通过期刊文章、讲座、讲习班、 以及对科学家和临床医生的培训活动，不仅在戒烟区，而且在其他领域 癌症预防和治疗的最新进展。

Project Summary A primary aim of the proposed Program Project is to develop an optimized healthcare system smoking program (the Comprehensive Chronic Care Smoking Treatment Program: CCCSTOP). This will be accomplished using the Multiphase Optimization Strategy (MOST), an engineering-inspired methodological framework for developing, optimizing, and evaluating multicomponent treatments. The Design and Optimization Core serves the Program Project by providing a centralized resource for expertise and support pertaining to this innovative approach. The Specific Aims will be: 1) To support and serve as an intellectual resource for the application of MOST to develop, optimize, and evaluate CCCSTOP. To conduct the research proposed in this Program Project application, it will be necessary to integrate data and substantive knowledge about smoking cessation with methodological expertise on topics such as efficient experimental design and statistical analysis. It will also be necessary to engage in complex decision-making based on the results of experimentation. This core will promote, support, and coordinate these efforts, working closely with the Data Analysis Core. 2) In concert with other project investigators, to refine and further develop the MOST framework and related methodological tools to enhance the work of this Program Project. One area of refinement is the application of ideas and procedures from decision analysis, to expand the application of MOST to more realistic—but also more complex—situations in which multiple outcomes are considered in the identification of an optimized treatment strategy (e.g., by using multiple criteria decision analysis). This procedure will be implemented in this project, and will serve as a resource for others who are optimizing interventions in cancer prevention and treatment where interventions target more than one outcome. 3) To disseminate the MOST approach and related methodological tools to the cancer control research community. The refined decision- making procedure and related methodological tools will be disseminated via journal articles, talks, workshops, and training activities to scientists and clinicians not only in the smoking cessation area but also in other areas of cancer prevention and treatment.