Precision Health Intervention Methodology Training in Self-Management of Multiple Chronic Conditions

项目摘要/摘要： 美国正在经历快速的宏观社会转型；人口老龄化和 变得更加多样化。老龄化的人口需要更多的照顾；多发性慢性疾病的频率和负担 条件(MCC)正在迅速增加。由精准医学引发的最近的健康范式转变 主动性，以及计算科学、人工智能和移动/可穿戴设备方面的重大进步 技术，现在提供了通过发展促进自我管理科学的重要机会 针对个人层面量身定做的战略。不仅基于遗传学，还基于心理社会表型 特点，当前社会和技术变革的速度需要一个全面的、结构化的、 为下一代护士科学家提供自我管理研究培训的跨学科方法。 得克萨斯大学奥斯汀分校护理学院在培养未来护士方面处于独特的地位 能够开发有效的个性化干预措施的科学家，这些干预措施解决了自闭症的复杂需求 MCC患者的管理。位于德克萨斯州奥斯汀的“医疗科技中心”， 在全国最活跃的跨学科健康研究环境中，我们很好 定位于培训未来的科学家精准健康方法，解决MCC专注于自我的 管理科学。该学院目前运营着两个强大的卓越中心，专注于 服务不足人群的自我管理和健康促进方面的跨学科研究。我们也 已与四个正在进行的T32培训计划(人口科学、 跨学科神经科学、生物医学工程和医学信息学以及大数据科学)。 奥斯汀为这四个项目的所有学员提供高影响力、跨学科的研究培训。至 利用我们合作研究的势头并最大限度地利用我们的教育资源，我们建议 新的博士培训计划(NIH T32)，为未来的护士科学家(13名博士后和6名博士后)提供 5年以上的受训人员)具备关键技能和知识，以开发和实施创新、有效和 对患有MCC的人群进行个性化干预。 这一跨学科培训计划的具体目标是：(1)为学员提供 为患有疾病的人构建精确、个性化的干预措施的前沿知识和方法 MCCS；(2)利用我们大学和社区的资源，确保跨学科培训，以 培养创造性的、成功的临床研究人员，他们将对自我发展产生重大影响 通过精确的健康方法论管理科学；(3)提升现有的 通过创建全国模式，创建大学的大学合作、互动和跨学科研究环境 培养具有精准健康专业知识的护士科学家。

Project Summary /Abstract: The U.S. is undergoing rapid macrosocial transformations; the population is growing older and becoming more diverse. An aging population needs more care; the frequency and burden of multiple chronic conditions (MCC) are rapidly increasing. The recent health paradigm shift initiated by the Precision Medicine Initiative, along with significant advances in computational science, artificial intelligence, and mobile/wearable technology, now offers important opportunities to advance self-management science through the development of strategies tailored to the individual level. Based not only on genetics but also psychosocial phenotypic characteristics, the current pace of social and technological change demands a comprehensive, structured, transdisciplinary approach to self-management research training for the next generation of nurse scientists. The University of Texas at Austin’s School of Nursing is uniquely positioned to foster future nurse scientists who can develop effective personalized interventions addressing the complex needs of self- management for people with MCC. Located at the “epicenter of the health technology hub” in Austin, Texas, within one of the most vibrant transdisciplinary health research environments in the nation, we are well positioned to train future scientists in precision health methodologies addressing MCC-focused self- management science. The school currently operates two strong centers for excellence focusing on transdisciplinary research in self-management and health promotion for underserved populations. We also have established collaborative agreements with four active T32 training programs (population science, interdisciplinary neuroscience, biomedical engineering and medical informatics, and big data science) at UT- Austin to facilitate high impact, transdisciplinary research training for all trainees in these four programs. To capitalize on our momentum of collaborative research and maximize our educational resources, we propose a new PhD training program (NIH T32) to provide future nurse scientists (13 pre-doctoral and 6 post-doctoral trainees over 5 years) with critical skills and knowledge to develop and implement innovative, effective and personalized interventions for populations suffering from MCCs. The specific objectives of this transdisciplinary training program are: (1) To provide trainees with cutting edge knowledge and methods for constructing precise, personalized interventions for people with MCCs; (2) to utilize resources throughout our university and community to ensure training across disciplines to develop creative, successful clinical investigators who will make a major impact on advancing self- management science through precision health methodology; (3) to elevate the existing strengths of the university’s collegial, interactive, interdisciplinary research environment by creating a national model for training nurse scientists with precision health expertise.