Improving Outcomes for Care Partners of Persons with Traumatic Brain Injury

改善脑外伤患者护理伙伴的治疗效果

• 批准号: 10526392
• 负责人: Noelle E. Carlozzi
• 金额: $ 56.77万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-27 至 2024-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10526392
• 关键词: Accelerometer; Affect; Anxiety; Beds; Cardiovascular Diseases; Caregiver research; Caregivers; Caring; Charge; Clinical; Clinical Trials Design; Communities; Control Groups; Data; Data Collection; Development; Diabetes Mellitus; Emotional Stress; Ensure; Evaluation; Face; Family; Family Caregiver; Fatigue; Feedback; Financial Activity; Funding; Goals; Health; Health Priorities; Heart; Home; Hour; Individual; Intervention; Leisure Activities; Life; Machine Learning; Measurement; Measures; Mental Depression; Mental Health; Mental disorders; Monitor; National Institute of Nursing Research; Nursing Research; Outcome; Outcome Measure; Patient Outcomes Assessments; Patient Self-Report; Personal Satisfaction; Persons; Phenotype; Physical Function; Physical activity; Physical assessment; Population; Psyche structure; Quality of life; Randomized; Randomized, Controlled Trials; Rehabilitation Outcome; Reporting; Request for Applications; Research; Research Priority; Risk; Role; Self Care; Self Management; Sleep; Sleep disturbances; Social Functioning; Social Well-Being; Stress; Symptoms; System; Time; Traumatic Brain Injury; Treatment Efficacy; Validation; Work; adaptive intervention; care outcomes; care recipients; care systems; caregiver strain; caregiving; clinical trial implementation; cost; design; efficacy evaluation; fitbit; functional outcomes; group intervention; health assessment; health management; health related quality of life; high dimensionality; improved; improved outcome; innovation; insight; intervention delivery; loved ones; member; mobile sensor; multidisciplinary; novel; physical conditioning; poor sleep; post intervention; prevent; psychologic; risk prediction; smartphone application; smoking cessation; social; statistics; therapy design; tv watching; wearable device; wrist worn device

Abstract Care partners of persons with moderate to severe traumatic brain injury (TBI) are often required to assume a caregiver role, bearing primary responsibility for assisting the person with TBI in physical, mental, financial, and leisure activities. As a result of these new caregiving responsibilities, it is common for these care partners to report problems with physical, mental, and social health, as well as compromised health-related quality of life (HRQOL). Given that care partners’ well-being and functioning affects both their own personal health outcomes, as well as the functional and rehabilitation outcomes of the person with TBI, there is a critical need to develop novel health management interventions to ensure better health outcomes for both members of the TBI care partnership dyad. Therefore, our long-term goal is to improve the health and well-being of these care partners, as well as their ability to provide care to their loved one. Thus, the proposed randomized control trial will examine the efficacy of a just-in-time adaptive intervention (JITAI), or personalized self-management intervention that uses objective mobile sensor data feedback to improve physical activity, sleep, and HRQOL in 240 care partners of persons with TBI. Our primary objectives are to: 1) assess the efficacy of this novel personalized self-management intervention (i.e., JITAI) for preventing the development of adverse symptoms (e.g., mobility, sleep, poor HRQOL); and 2) use data collected from wearables (i.e., the Fitbit Charge®) and real-time assessments of HRQOL to identify care partners with the greatest risk for negative physical and mental HRQOL outcomes, as well as the timing for when they are at greatest risk. We expect care partners that are randomized to receive the JITAI will demonstrate improvements in HRQOL, physical activity and sleep relative to controls. We also hypothesize is that objective, data-derived mobile phenotypes can predict risk for adverse caregiver HRQOL. The scientific premise for the proposed research is based on our multidisciplinary team with expertise in caregiver research, evaluation of HRQOL using patient-reported outcomes, clinical trials implementation, expertise in real time assessment of HRQOL, as well as the statistical expertise in high- dimensional statistics and machine learning. Furthermore, the innovation is grounded in the examination of a real-time, real-world, personalized and scalable JITAI designed to improve HRQOL in care partners. Ultimately, this study will allow us to identify care partners at the greatest risk for negative physical and mental health outcomes, and will provide important efficacy data to support the clinical utility of a low cost, low burden self-management intervention to improve HRQOL for care partners of persons with TBI.

抽象的 经常需要接受中度至重度创伤性脑损伤（TBI）的人的护理伴侣 护理人员的角色，承担着协助TBI患者的身体，心理，财务和 休闲活动。由于这些新的护理责任，这些护理伙伴很常见 报告身体，精神和社会健康的问题，以及与健康相关的生活质量损害 （HRQOL）。鉴于护理伙伴的福祉和运作会影响他们自己的个人健康 结局，以及TBI人的功能和康复结果，有一个迫切的需求 开发新颖的健康管理干预措施，以确保两个成员的健康状况 TBI Care Partnership Dyad。因此，我们的长期目标是改善这些护理的健康和福祉 合作伙伴以及他们为亲人提供照顾的能力。这是拟议的随机对照试验 将检查即时适应性干预（Jitai）或个性化自我管理的效率 使用客观移动传感器数据反馈来改善体育活动，睡眠和HRQOL的干预措施 240个TBI患者的护理伙伴。我们的主要目标是：1）评估这本小说的效率 个性化的自我管理干预（即Jitai），以防止开发广告症状 （例如，流动性，睡眠，可怜的HRQOL）； 2）使用从可穿戴设备收集的数据（即FitbitCharge®）和 对HRQOL的实时评估，以确定具有负面身体和最大风险风险的护理伙伴 精神HRQOL的结果以及何时面临最大风险的时机。我们期望护理伙伴 随机接收Jitai的人将证明HRQOL，体育锻炼和睡眠的改善 相对于控件。我们还假设，目标，数据衍生的移动表型可以预测 不良护理人员HRQOL。拟议研究的科学前提是基于我们的多学科 具有护理人员研究专业知识的团队，使用患者报告的结果，临床试验评估HRQOL 实施，HRQOL实时评估方面的专业知识以及高级统计专业知识 维度统计和机器学习。此外，创新基于检查 实时，现实世界，个性化和可扩展的Jitai旨在改善护理伙伴的HRQOL。 最终，这项研究将使我们能够确定面对负面身心的最大风险的护理伴侣 健康结果，并将提供重要的效率数据，以支持低成本，低燃烧的临床实用性 自我管理干预措施，以改善TBI患者的护理伙伴的HRQOL。