Core 1: Design and Optimization Core (Optimization Core)

项目摘要 拟议计划项目的主要目的是开发一个优化的医疗保健系统， 综合慢性护理吸烟治疗计划（CCCSTOP）。这将是 使用多阶段优化策略（MOST）完成，这是一种受工程启发的方法 开发、优化和评估多组分处理的框架。设计和 优化核心通过提供专业知识和支持的集中资源来服务于计划项目 这一创新的方法。具体目标是：1）支持和服务知识分子 MOST应用资源，用于开发、优化和评估CCCSTOP。开展此类研究所 在本计划项目申请中提出，将有必要整合数据和实质性知识 关于戒烟的方法学专业知识的主题，如有效的实验设计， 统计分析此外，还必须根据评估结果进行复杂的决策， 实验该核心将促进、支持和协调这些努力，并与数据中心密切合作。 分析核心2)与其他项目调查人员合作，完善和进一步发展社会变革管理计划框架 和相关的方法工具，以加强本方案项目的工作。改进的一个方面是 从决策分析的思想和程序的应用，扩大MOST的应用到更多 现实的，但也更复杂的情况下，多个结果被认为是在确定 优化的治疗策略（例如，通过使用多准则决策分析）。本程序将 在这个项目中实施，并将作为其他优化癌症干预措施的资源， 预防和治疗，其中干预措施针对一个以上的结果。3)传播MOST 方法和相关的方法工具，癌症控制研究界。完美的决定- 将通过期刊文章、讲座、讲习班 不仅在戒烟领域，而且在其他领域， 癌症的预防和治疗。

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.