Methods & Analytics Core

方法与分析核心(MACORE)-摘要 慢性疾病和状况(例如，关节炎、糖尿病、心脏病、基于伤害的残疾)影响更大 超过三分之一的65岁或65岁以上的成年人，五分之一的60岁及以上人口(例如，1000万人 糖尿病)，每年有七分之一的美国人死亡。对自我管理计划的需求 使患者了解疾病特点，养成健康行为，处理慢性病是 危急时刻。本研究将通过以参与者为中心来关注自我管理的复杂性 卫生自我管理现有战略的成果、修改和创新战略的制定 通过与医疗保健提供者的互动和加强积极成果。 基于我们在开发管理、处理、分析技术方面的重要经验 复杂多维数据集的方法和分析核心(MACORE) 慢性停用(CSCD)中心的自我管理复杂性将提供必要的基础设施 和资源，以支持患者、家庭、护理人员、研究人员和利益相关者的参与。 具体而言，MACORE将为CSCD研究项目(试点、协作和服务)提供数据支持 临床相关研究假设的收集和汇总、表述和测试(跨空间， 时间、疾病状态、表型和治疗方案)和算法来得出错综复杂的关系， 自我管理数据中的复杂关联、因果联系和复杂模式。 MACORE特定AIMS旨在支持更广泛的CSCD范围中心AIMS 促进慢性病患者健康的自我管理科学的复杂性。我们会 探索跨学科团队指导的新策略，利用创新方法分析 复杂的干预措施和促进研讨会发展的效果侧重于复杂的方法。 MACORE将把新手研究人员与资源联系起来，以促进独立研究人员的发展 并领导跨学科团队并开发一系列技术和支持文档 选择适当的方法来解决自我管理研究设计、数据处理和 分析方案。最后，核心将提供方法和分析方面的专门知识和工具，以 合作者和试点项目调查人员，并开发CSCD计算基础设施 用于高级数据分析的高效、可靠的端到端计算工作流解决方案。

Methods & Analytics Core (MACORE) - Summary Chronic diseases and conditions (e.g., arthritis, diabetes, heart disease, injury-based disabilities) affect more than one-third of adults 65 or older, one-fifth of the population age 60 and older (e.g., 10 million people have diabetes), and one-seventh of the Americans who die annually. The need for self-management programs that enable patients to learn the disease characteristics, practice healthy behaviors, and handle chronic disorders is critical. This research will focus on the complexity of self-management by focusing on participant-centered outcomes, modifications of existing and development of innovative strategies for health self-management through interaction with healthcare providers and reinforcement of positive outcomes. Building on our significant prior experience in developing techniques for management, processing, analysis and visualization of complex multidimensional dataset, the Methods and Analytics Core (MACORE) of the Complexity of Self-management in Chronic Disuse (CSCD) Center will provide the necessary infrastructure and resources to support engagement of patients, family, caregivers, researchers and stakeholders. Specifically, MACORE will support CSCD research projects (pilots, collaborations and services) with data collection and aggregation, formulation and testing of clinically-relevant research hypotheses (across space, time, disease state, phenotypes and treatment regiments), and algorithms to elicit the intricate relations, complex associations, causal connections and complex patterns in the self-management data. The MACORE specific aims are designed to support the broader CSCD-wide Center aims by leveraging complexity to advance the science of self-management for the promotion of health in chronic illness. We will explore new strategies for mentorship by interdisciplinary teams, utilizing innovative methods for analyzing the effects of complex interventions and facilitating development of symposia focused on complex methodology. MACORE will link novice investigators with resources to facilitate development as independent researchers and to lead interdisciplinary teams and develop a range of techniques and supporting documentation for selecting appropriate methods to address complexity for self-management study designs, data processing, and analytical protocols. Finally, the Core will provide methodological and analytic expertise and tools to collaborators and pilot project investigators and develop the CSCD computational infrastructure enabling efficient and reliable end-to-end computational workflow solutions for advanced data analytics.