Optimizing Implementation in Cancer Control: OPTICC - Research Program Core

研究核心摘要 研究计划核心（RPC）在癌症优化实施中的总体目标 控制（OPTICC）中心是支持快速开发，测试和改进创新方法， 优化癌症控制的循证干预措施（EBI）的实施。方法是进行 一系列执行研究、方法和衡量研究，解决四个关键障碍， 优化EBI在癌症控制中的实施：障碍识别和优先级的不发达方法 化，对战略机制的不完全了解（战略-障碍匹配的必要条件）;利用不足 优化战略的设计;以及对实施结构的测量不佳。OPTICC研究将 跨越三个优化阶段-识别障碍并确定其优先级，使实施策略与障碍相匹配， 通过快速测试优化实施策略，并包括测量开发。这些研究将 利用现有的癌症控制实施工作，并对我们实施工作中出现的优先事项作出反应。 实验室合作伙伴我们将在研究中改进我们的创新方法。理由是，进行穆尔- 利用共享资源在三个阶段同时进行研究将加快知识的速度 积累和方法的发展，以更大的效率和经济，比进行独立的研究， 在隔离。RPC有四个具体目标。(1)通过控制癌症来推进癌症控制科学的实施 引导创新研究以优化EBI的实施。癌症研究专家将得到Meth的支持， ods单位教师领导两种类型的试点研究，部署OPTICC方法在三个优化 解决实施实验室合作伙伴的优先事项，并克服阻碍实施的四个障碍a- 癌症控制的科学。(2)通过开发可靠、有效、实用的信息系统，改进信息系统的测量和方法， 实施结构的自动化措施和改进优化EBI实施的创新方法， 是的。我们将优先制定经济、有效和得到利益攸关方认可的措施和方法- 以确保广泛吸收。(3)收集有用的知识，作为国家咨询机构， 源头我们将开发工具包，指导，并利用以用户为中心的设计研讨会，以确保我们的产品- 公开提供的城市通信技术已准备就绪，可供部署。我们将在关系数据库中组织知识 这将综合该领域的知识。(4)创造创新方法，规划未来方向。我们将 通过OPTICC研究负责人、方法部门教师、利益相关者和科学家的输入，改进当前方法。 我们的咨询委员会、实施实验室的代表以及访问我们方法的个人 网上我们还将开发利用技术和先进分析的新方法。OPTICC中心 通过提供优化EBI实施的新方法， 在癌症控制中，重点是构建假设的因果途径的明确表示， 将战略纳入机制、障碍和结果，以规划评价和组织证据。

RESEARCH PROGRAM CORE SUMMARY The overarching goal of the Research Program Core (RPC) within the Optimizing Implementation in Cancer Control (OPTICC) Center is to support the rapid development, testing, and refinement of innovative methods to optimizing implementation of evidence-based interventions (EBIs) for cancer control. The approach is to conduct a series of implementation studies, and methods and measurement studies, that address four critical barriers to optimizing EBI implementation in cancer control: underdeveloped methods for barrier identification and prioriti- zation, incomplete knowledge of strategy mechanisms (a requisite for strategy-barrier matching); underutilization of designs for optimizing strategies; and poor measurement of implementation constructs. OPTICC studies will span three optimization stages—identify and prioritize barriers, match implementation strategies to barriers, and optimize implementation strategies through rapid testing—and include measure development. The studies will leverage existing cancer control implementation efforts and respond to emerging priorities of our Implementation Laboratory Partners. We will refine our innovative methods across studies. The rationale is that conducting mul- tiple studies concurrently across the three stages using shared resources will accelerate the speed of knowledge accumulation and method development, with greater efficiency and economy, than conducting independent stud- ies in isolation. The RPC has four specific aims. (1) Advance implementation science in cancer control by con- ducting innovative studies to optimize EBI implementation. Cancer research experts will be supported by Meth- ods Unit Faculty to lead two types of pilot studies that deploy OPTICC methods across the three optimization stages to address Implementation Lab Partners’ priorities and overcome the four barriers stymying implementa- tion science in cancer control. (2) Improve measurement and methods in IS by developing reliable, valid, prag- matic measures of implementation constructs and refining innovative methods for optimizing EBI implementa- tion. We will prioritize developing measures and methods that are economical, efficient and approved by stake- holders to ensure widespread uptake. (3) Curate usable knowledge to function as a national consultation re- source. We will develop toolkits, guidance, and workshops leveraging user centered design to ensure our prod- ucts, made publicly available, are ready for deployment. We will organize knowledge in a relational database that will synthesize learnings for the field. (4) Generate innovative methods and chart future directions. We will iterate our current methods with input from OPTICC Study Leads, Methods Unit Faculty, Stakeholder and Sci- entific Advisory Boards, Representatives from our Implementation Lab, and individuals accessing our methods online. We will also develop new methods that leverage technology and advanced analytics. The OPTICC Center has the potential to transform implementation science by delivering new methods to optimize EBI implementation in cancer control that focus on constructing explicit representations of hypothesized causal pathways that con- nect strategies to mechanisms, barriers, and outcomes for planning evaluations and organizing evidence.