Optimizing Implementation in Cancer Control: OPTICC - Research Program Core

研究计划核心摘要 癌症优化实施中研究计划核心(RPC)的总体目标 控制(OPTICC)中心支持快速开发、测试和改进创新方法，以 优化实施循证干预措施(EBI)以控制癌症。方法是进行 一系列实施研究、方法和衡量研究，解决以下四个关键障碍 优化EBI在癌症控制中的实施：未开发的屏障识别和优先级方法- 一体化，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；以及对实施结构的衡量不力。OPTICC研究将 跨越三个优化阶段-确定障碍并确定其优先顺序，将实施策略与障碍相匹配，以及 通过快速测试优化实施策略，并包括措施开发。这些研究将 利用现有的癌症控制实施努力，并对我们实施的新优先事项作出反应 实验室合作伙伴。我们将在研究中完善我们的创新方法。其基本原理是，传导多个- 利用共享资源在三个阶段同时进行学习将加快知识的速度 积累和方法开发，比进行独立研究更高效和经济。 我被孤立了。RPC有四个具体目标。(1)通过以下措施促进癌症控制的实施科学 引导创新研究以优化EBI实施。癌症研究专家将得到梅斯的支持- 消耗臭氧层物质股教员将领导两类试点研究，在三个优化项目中采用业务和技术协调中心的方法 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的阶段- 癌症控制中的肿瘤科学。(2)改进信息系统的测量和方法，发展可靠、有效、快速的信息系统。 马季奇关于优化电子政务实施的实施结构和创新方法的措施-- 提顿。我们将优先发展经济、高效、经桩批准的措施和方法- 持有者以确保广泛接受。(3)策划有用的知识，发挥国家咨询的作用-- 消息来源。我们将利用以用户为中心的设计开发工具包、指南和研讨会，以确保我们的产品- 公开提供的UCT已做好部署准备。我们将在关系数据库中组织知识 这将综合该领域的学习成果。(4)创新方法，规划未来方向。我们会 根据OPTICC研究领导、方法单位教职员工、利益相关者和科学人员的意见，重复我们当前的方法- 具体的咨询委员会、我们实施实验室的代表以及访问我们方法的个人 上网。我们还将开发利用技术和高级分析的新方法。OPTICC中心 有可能通过提供优化EBI实施的新方法来改变实施科学 在癌症控制中，它专注于构建符合以下条件的假设因果路径的显式表示- 规划评估和组织证据的机制、障碍和结果的最佳策略。

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.