Core 1: Adaptation, Dissemination, and Implementation Shared Resource Core

AMPLIFI适应、传播和实施（ADI）共享资源的总体目标 核心（SRC）是为所有AMPLIFI项目提供干预所需的专业知识和基础设施 适应，优化未来的传播和实施（D&I），并确定共同的进程 在所有的干预措施中，推进适应和D&I科学。虽然多个随机对照 试验已经测试了旨在改善癌症诊断后健康行为的干预措施的有效性 然而，由于这些干预措施在临床和治疗中的作用有限，因此将这些干预措施转化为标准做法和更广泛的使用是有限的。等 翻译可以通过制定一个综合的方法来改善干预适应不同 设置，亚组和远程交付策略，同时提高干预D&I潜力。混合 方法研究方法是公认的关键适应过程，并提供了丰富的数据 需要更好地理解适应和D&I战略。因此，ADI SRC包括多学科 团队在适应，D&I科学，混合方法研究，癌症生存，老年人， 农村和少数民族人口，技术支持的健康行为干预措施和健康差距。这样 ADI SRC将为所有AMPLIFI项目提供支持，并填补与以下方面有关的重要科学知识空白： 更好地调整和实施干预措施所需的“第3类证据”。ADI SRC的具体目标是： 主要目标：通过开发和维护基础设施来支持每个项目， 方法指导、专家咨询和训练有素的工作人员，以确保调查人员随时可以获得 相关资源、混合方法数据以及衡量D&I相关结果的后勤支持， 完成干预措施的调整、评估和改进，并最终确定实施工具包。 次要目标1：协助项目调查人员描述、分类和统计所需的调整 （在执行之前和执行期间），以确定 不同的癌症组、地理位置和远程交付方法。 次要目标2：协助项目研究者在项目完成后优化干预D&I。这 将包括但不限于确定项目干预措施之间的相似性和差异性， 在项目完成后优化D&I（例如，D&I障碍和促进者、相关利益攸关方和社区 合作伙伴，以及改进经调整的干预措施的未来发展和融合的潜在战略和途径）。 次要目标3：制定一个适应模式，指导健康行为干预措施的适应， 癌症幸存者适用于不同的健康行为和类型的远程交付方法。 D&I结果数据将用于将改善D&I潜力的建议纳入模型。 ADI SRC杰出的研究人员和顾问团队将采用严格的混合方法 优化所有AMPLIFI项目，创新性地整合跨项目数据，以推进D&I科学。

The overall objective of the AMPLIFI Adaptation, Dissemination, and Implementation (ADI) Shared Resource Core (SRC) is to provide all AMPLIFI projects with the expertise and infrastructure required for intervention adaptation, optimizing future dissemination and implementation (D&I), and identifying processes common across all interventions that advance adaptation and D&I science. Although multiple randomized controlled trials have tested the efficacy of interventions aimed at improving health behaviors after a cancer diagnosis and treatment, translation of these interventions into standard practice and broader use is limited. Such translation could be improved by developing an integrated approach to intervention adaptation to different settings, subgroups, and distance-delivery strategies while improving intervention D&I potential. Mixed methods research approach is well-recognized as crucial to the adaptation process and provides the rich data needed to better understand adaptation and D&I strategies. Hence, the ADI SRC includes a multidisciplinary team with collective expertise in adaptation, D&I science, mixed methods research, cancer survivorship, older, rural and minority populations, technology-supported health behavior interventions, and health disparities. In so doing, the ADI SRC will support all AMPLIFI projects and fill an important scientific knowledge gap related to the “type 3 evidence” needed to better adapt and implement interventions. The ADI SRC specific aims are: Primary Aim: Support each project by developing and maintaining an infrastructure for providing methodological guidance, expert consulting and trained staff to ensure that investigators have ready access to relevant resources, mixed methods data, and logistical support for measuring D&I related outcomes, completing intervention adaptations, evaluation, and refinements, and finalizing implementation toolkits. Secondary Aim 1: Assist project investigators in describing, categorizing, and tallying adaptations required by each project (before and during implementation) to determine the most common adaptations needed for different cancer groups, geographical locations, and distance delivery methods. Secondary Aim 2: Assist project investigators in optimizing intervention D&I after project completion. This will include but is not limited to identifying similarities and differences across the project interventions to optimize D&I after project completion (e.g., D&I barriers and facilitators, relevant stakeholders and community partners, and potential strategies and venues for improving future D&I of the adapted interventions). Secondary Aim 3: Develop an adaptation model for guiding adaptations of health behavior interventions for cancer survivors applicable across different health behaviors and types of distance-delivery methods. The D&I outcomes data will be used to integrate recommendations for improving D&I potential into the model. The ADI SRC's exceptional team of investigators and consultants will use a rigorous mixed methods approach to optimize all AMPLIFI projects and innovatively integrate cross-project data to advance D&I science.