AURA-ALZ: Connecting Audio and Radio Sensing Systems to Improve Care at Home for Persons with Early Alzheimer's Disease Or Related Dementias And Their Caregivers

AURA-ALZ：连接音频和无线电传感系统，改善早期阿尔茨海默病或相关痴呆症患者及其护理人员的家庭护理

• 批准号: 10289180
• 负责人: Shahriar Nirjon
• 金额: $ 7.55万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-10 至 2023-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10289180
• 关键词: Activities of Daily Living; Address; Adopted; African American; Age; Aggressive behavior; Alzheimer' s Disease; Alzheimer' s disease model; Auras; Award; Behavior; Biomedical Research; Cancer Patient; Car Phone; Caregiver Burden; Caregivers; Caring; Cellular Phone; Cognitive; Communication; Complex; Conflict (Psychology); Counseling; Data; Dementia; Dementia caregivers; Dependence; Devices; Economic Burden; Education; Effectiveness of Interventions; Elderly; Family; Family Caregiver; Family member; Feedback; Felis catus; Future; Gestures; Hand; Health; Health Care Costs; Health Status; Healthcare; Hispanics; Home; Impaired cognition; Impairment; Internet; Intervention; Intuition; Machine Learning; Malignant Neoplasms; Malignant neoplasm of urinary bladder; Measures; Medical; Mental Depression; Methods; Mission; Monitor; Notification; Operative Surgical Procedures; Parents; Patient Care; Patient Monitoring; Patient-Focused Outcomes; Patients; Persons; Physical activity; Pilot Projects; Population; Preparation; Process; Public Health; Radio; Recommendation; Recovery; Reporting; Research; Research Support; Sampling; Self Management; Series; Signal Transduction; Site; Support Groups; Surveys; Symptoms; System; Techniques; Technology; Telephone; Testing; Time; Training; Training Support; Training and Education; Voice; Work; base; care burden; caregiving; cognitive ability; cost; dementia care; dementia caregiving; eHealth; experience; falls; functional loss; improved; innovation; intervention program; learning classifier; member; multi-component intervention; multidisciplinary; natural language; novel; person centered; personalized intervention; programs; radio frequency; remote health care; research study; response; skills training; usability; web site

AURA-ALZ: Connecting Audio and Radio Sensing Systems to Improve Care at Home for Persons with Early Alzheimer's Disease Or Related Dementias And Their Caregivers ABSTRACT In response to NOT-AG-20-034, the proposed Alzheimer’s-focused supplement will develop Connecting Audio And Radio Sensing Systems To Improve Care At Home for persons with early Alzheimer's disease or related dementias (ADRD) and their caregivers. The research proposed in this supplement aligns with the parent R01 study (R01LM013329). Persons with ADRD and their caregivers routinely confront various complex challenges and experience huge care burden. A common practice in technology-assisted care intervention is to guide patients and family caregivers through web and mobile phone-based training, health-vital monitoring, symptom reporting, and providing feedback and advice. These intervention programs, while have been shown to be effective, have three major demerits. First, a member of the care team (the patient or a family member) has to actively measure and enter patient data into the system, which is error-prone, subjective, and sometimes, forgotten. Second, web or mobile-based interactions can be cumbersome and demanding. Simple tasks like entering data, assessing health status, or getting and responding to an alert require typing and clicking through a series of electronic forms. Third, interactions between the system and the caregiver, especially when the system needs to remind or confirm an intervention, simple notifications and messages on a smartphone/website is often ineffective and unnoticed. To improve technology-based care interventions and to better serve persons with ADRD and their caregivers, the proposed study will adopt a user-centered approach to adapt and extend the AURA system that we have been developing in our ongoing R01. The research aims are: 1) Increase the robustness of the AURA subsystems; 2) Engage stakeholders (persons with early ADRD, caregivers, clinicians) to identify the needs of ADRD care and caregiving to help co-produce AURA-ALZ for persons with early ADRD and their caregivers; 3) Determine the usability, acceptability, and feasibility of AURA-ALZ in 10 persons with early ADRD and caregiver dyads' homes using mixed methods. Our current R01 aims to develop a technology- assisted AURA system for patients who are post-surgical treatment for bladder cancer and their caregivers. AURA passively monitors specific activities of a patient at home using WiFi signals, tailors natural language responses of voice assistants based on the patient's state, and automates entering data into the system to reduce the burden on the caregivers of cancer. AURA communicates with the care team in natural languages for reminders and confirmation of collected information, which is intuitive, handsfree, and less demanding. Building upon AURA, AURA-ALZ will have similar but enhanced features to address the unique care needs of persons with ADRD and caregivers. This study addresses the NLM’s mission of enabling biomedical research, supporting health care and public health, and promoting healthy behavior.

AURA-ALZ：连接音频和无线电传感系统以改善患有以下疾病的人的家庭护理 早期阿尔茨海默病或相关痴呆症及其照顾者 抽象的 为了响应 NOT-AG-20-034，拟议的针对阿尔茨海默病的补充品将开发 Connecting Audio 无线电传感系统可改善早期阿尔茨海默病或相关疾病患者的家庭护理 痴呆症（ADRD）及其照顾者。本补充中提出的研究与母版 R01 一致 研究（R01LM013329）。 ADRD 患者及其护理人员经常面临各种复杂的挑战 并承受巨大的护理负担。技术辅助护理干预的常见做法是指导 患者和家庭护理人员通过网络和手机培训、健康生命体监测、症状 报告并提供反馈和建议。这些干预计划虽然已被证明是 有效，有三大缺点。首先，护理团队的成员（患者或家庭成员）必须 主动测量患者数据并将其输入系统，这容易出错、主观，有时， 忘记了。其次，基于网络或移动设备的交互可能很麻烦且要求很高。简单的任务，例如 输入数据、评估健康状况或获取和响应警报需要打字和点击 一系列电子表格。第三，系统和护理人员之间的交互，特别是当 系统需要在智能手机/网站上提醒或确认干预、简单通知和消息 往往是无效且不被注意的。改善基于技术的护理干预措施并更好地为人们服务 与 ADRD 及其护理人员一起，拟议的研究将采用以用户为中心的方法来适应和扩展 我们在正在进行的 R01 中开发的 AURA 系统。研究目标是： 1) 提高 AURA 子系统的稳健性； 2) 让利益相关者（患有早期 ADRD 的人、护理人员、临床医生）参与进来 确定 ADRD 护理和护理的需求，帮助为早期 ADRD 患者共同生产 AURA-ALZ 和他们的照顾者； 3) 确定 AURA-ALZ 在 10 名患有以下疾病的人中的可用性、可接受性和可行性 早期 ADRD 和护理人员二人之家使用混合方法。我们目前的R01旨在开发一种技术- 辅助 AURA 系统，用于膀胱癌术后治疗的患者及其病情 照顾者。 AURA 使用 WiFi 信号被动监测患者在家中的特定活动，定制自然 语音助手根据患者状态做出语言反应，并自动将数据输入到 系统，以减轻癌症护理人员的负担。 AURA 与护理团队自然沟通 多种语言提醒和确认所收集的信息，直观、免提、更少 要求很高。以 AURA 为基础，AURA-ALZ 将具有类似但增强的功能来解决独特的护理问题 ADRD 患者和护理人员的需求。这项研究解决了 NLM 的使命，即实现生物医学 研究，支持医疗保健和公共卫生，并促进健康行为。