Technology Enhanced Self-Management Interventions for Fatigue and Pain: The Symptoms Self Management Center

项目总结/摘要-总体组件 症状自我管理中心（SSMC）的主要目标是提供基础设施 和背景的护士科学家谁将：确定患者群体，谁是慢性病的风险 通过尖端的生物医学信息学在疲劳和疼痛领域的症状恶化;发展 可扩展和可持续的技术增强自我管理干预措施，这些措施可供这些人使用 通过迭代的、以患者为中心的设计方法对患者进行干预;并在真实的世界中评价这些干预措施 通过建立社区参与的研究伙伴关系，在社区环境中开展研究。为了实现这些目标， 南卡罗来纳州医科大学（MUSC）护理学院（CON）将利用我们开发的 在三个领域的专业知识和合作伙伴关系：生物医学信息技术增强自我， 管理干预和社区研究。重要的是，MUSC是NIH的接收者， 临床和转化科学奖，通过这三个领域的核心资助。的 这3个核心中有2个的董事是CON教员。我们的CTSA主任，凯瑟琳布雷迪博士（见支持信） 使这些核心和额外的研究基础设施可用于MUSC中心奖，如 P20在此提出。因此，我们将利用这些资源实现以下具体目标： 目标1：加强新兴调查人员自我管理的基础设施 干预措施可以与生物医学信息学家合作，使用预测分析策略， 招募患有疲劳和疼痛症状的患者，在各种疾病的早期阶段， 症状发展 目标2：为初级和经验丰富的研究人员提供工具支持， 电子健康，mhealth和网页健康设计专家从MUSC技术应用的健康 生活方式（TACHL）健康技术中心迭代设计以患者为中心，技术增强自我 自我/家庭管理干预。 目标3：在现有的社区基础设施的基础上， 与社区合作伙伴建立关系，开发生态有效的自然社区实验室， 否则，在试点项目通常较短的时间内建立这种机制是不可行的。

PROJECT SUMMARY/ABSTRACT – OVERALL COMPONENT The primary goal of the Symptoms Self Management Center (SSMC) is to provide the infrastructure and context for nurse scientists who will: identify groups of patients, who are at risk for chronic disease symptom exacerbation in the areas of fatigue and pain through cutting edge biomedical informatics; develop scalable and sustainable technology-enhanced self management interventions that are accessible to these patients through iterative, patient-centered design approaches; and evaluate these interventions in real world community settings through established community engaged research partnerships. To achieve these goals, the Medical University of South Carolina (MUSC) College of Nursing (CON) will leverage our developed expertise and collaborative partnerships in three areas: Biomedical Informatics Technology-Enhanced Self- Management Interventions, and Community-Engaged Research. Importantly, MUSC is the recipient of an NIH Clinical and Translational Science Award through which Cores in each of these three areas are funded. The Directors of 2 of these 3 Cores are CON faculty. Our CTSA Director, Dr. Kathleen Brady (see letter of support) has made these Cores and additional research infrastructure available to MUSC Center Awards such as the P20 proposed here. Thus, we will leverage these resources to achieve the following specific aims: AIM 1: To strengthen the infrastructure within which emerging investigators in self management interventions can collaborate with biomedical informaticists to use predictive analytic strategies to target and recruit patients suffering from symptoms of fatigue and pain, across a variety of disorders in the early stages of symptom development. AIM 2: To provide instrumental support for junior and experienced investigators to collaborate with ehealth, mhealth, and web health design experts from the MUSC Technology Applications for Healthful Lifestyles (TACHL) health-technology center to iteratively design patient centered, technology enhanced self and self/family management interventions. AIM 3: To build upon the existing community based infrastructure that facilitates enhanced access to, and relationships with community partners to develop ecologically valid, natural community laboratories that would otherwise not be feasible to create in the typically short time frame afforded pilot projects.