CareBand: A Collaborative Pilot Study to Optimize a Life-Space Performance Metric for Monitoring and Early Detection of Alzheimer's Disease and Related Dementias in Rural and Indigenous Communities

CareBand：一项合作试点研究，旨在优化生活空间绩效指标，以监测和早期发现农村和土著社区的阿尔茨海默病和相关痴呆症

• 批准号: 10212745
• 负责人: Wayne Richard Warry
• 金额: $ 43.87万
• 依托单位: UNIVERSITY OF MINNESOTA
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10212745
• 关键词: Address; Aging; Algorithmic Analysis; Algorithms; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Behavior; Caregiver Burden; Caregivers; Caring; Cellular Phone; Cognitive; Communities; Complement; Data; Data Set; Dementia; Dementia caregivers; Development; Devices; Diagnosis; Early Diagnosis; Ensure; Environment; Ethics; Frequencies; Geography; Goals; Gold; Home; Impaired cognition; Incidence; Indigenous; Industry; Internet; Interview; Learning; Life; Life Style; Location; Measures; Medical; Memory; Minnesota; Monitor; Movement; Native-Born; Patient Self-Report; Performance; Persons; Physical environment; Pilot Projects; Population; Population Heterogeneity; Prevalence; Privatization; Reporting; Research; Research Personnel; Rural; Rural Community; Rural Population; Sampling; Services; Social Environment; Speed; System; Technology; Time; Translating; Uncertainty; Universities; age related; aging in place; base; clinical predictors; clinically relevant; community based participatory research; cost effective; data modeling; diaries; experience; falls; health care availability; health care service; health disparity populations; health equity; improved; indigenous community; industry partner; innovation; movement analysis; pre-clinical; rurality; sensor; technology development; validation studies; wearable device; Address; Aging; Algorithmic Analysis; Algorithms; Alzheimer' s disease related dementia; Alzheimer' s disease risk; Behavior; Caregiver Burden; Caregivers; Caring; Cellular Phone; Cognitive; Communities; Complement; Data; Data Set; Dementia; Dementia caregivers; Development; Devices; Diagnosis; Early Diagnosis; Ensure; Environment; Ethics; Frequencies; Geography; Goals; Gold; Home; Impaired cognition; Incidence; Indigenous; Industry; Internet; Interview; Learning; Life; Life Style; Location; Measures; Medical; Memory; Minnesota; Monitor; Movement; Native-Born; Patient Self-Report; Performance; Persons; Physical environment; Pilot Projects; Population; Population Heterogeneity; Prevalence; Privatization; Reporting; Research; Research Personnel; Rural; Rural Community; Rural Population; Sampling; Services; Social Environment; Speed; System; Technology; Time; Translating; Uncertainty; Universities; age related; aging in place; base; clinical predictors; clinically relevant; community based participatory research; cost effective; data modeling; diaries; experience; falls; health care availability; health care service; health disparity populations; health equity; improved; indigenous community; industry partner; innovation; movement analysis; pre-clinical; rurality; sensor; technology development; validation studies; wearable device

Project Summary/Abstract Despite having higher rates of ADRD, increased caregiver stress and a lack of accessible healthcare services compared to urban counterparts, rural and Indigenous populations are grossly underrepresented in dementia research, especially in technology development. This R21 project, titled CareBand: A Collaborative Pilot Study to Optimize a Life-Space Performance Metric for Monitoring and Early Detection of ADRD in Rural and Indigenous Communities addresses urgent dementia disparities by developing aging-in-place technology to monitor dementia-related behaviours. This project brings together the University of Minnesota’s Memory Keepers - Medical Discover Team (MK-MDT) with an Industry partner, CareBand Inc., to digitize and expand existing metrics for the recording and analysis of movement through personal (in-home) and community environments, called life-space, using CareBand’s already available and proven, unobtrusive wearable wristband device. CareBand uses LoRa technology making it accessible to those without Internet or cellular services. This research will develop a new metric, a life-space performance (LSP) score, that will capture mobility through the exact calculation of distance based on amount, frequency and speed and as well as quality of movements (stability, falls, speed) across any clinically relevant period of time. Our long-term goal is to use LSP metrics to track cognitive decline from pre-clinical subjective cognitive complaints through all stages of ADRD among geographically and culturally diverse populations. Our overall hypothesis is that culture and geography are significant factors in determining one’s life-space and that the accurate measure of LSP in Indigenous and rural populations can be achieved by developing measures that account for their unique contexts. Using a community-based participatory research approach, we will partner with Indigenous and rural communities to pilot CareBand allowing us to collect data on rural and Indigenous life-space utilization to produce a LSP score that will benefit PWD and their caregivers. Our research has three specific aims. First, we will conduct depth interviews to generate qualitative data to inform the LSP data model by identifying and prioritizing the most critical life-space behaviors for directing care decisions. Second, the CareBand will be piloted for 12 weeks in rural and Indigenous with 20 People with Dementia caregivers, to capture location, movement and speed of movement inside and outside the home. Third, we will develop a set of algorithms by analyzing the qualitative and quantitative results captured in Aims 1 and 2 to create an LSP Score. This research will digitize life-space measures into a LSP score which includes indicators appropriate to rural and Indigenous populations and will lay the groundwork for a subsequent R01 application to validate the context specific LSP metrics against existing gold standards. The culturally appropriate LSP measure will contribute to health equity through improved early detection, diagnosis and care for rural and Indigenous populations.

项目摘要/摘要 尽管ADRD的比率更高，护理人员压力增加和缺乏可访问的医疗服务 与城市对应物相比，痴呆症中的粗糙和土著人口的人数严重不足 研究，尤其是技术开发。这个R21项目，标题为“ Careband：协作试点研究” 为了优化寿命空间指标，用于监测和早期在农村中对ADRD的检测 土著社区通过开发现场技术来解决紧急痴呆分布 监测与痴呆相关的行为。该项目汇集了明尼苏达大学的记忆 饲养员 - 与行业合作伙伴Careband Inc.的医疗发现团队（MK -MDT），以数字化和扩展 现有的指标，用于通过个人（家庭）和社区进行运动记录和分析 使用Careband的环境称为Life Space 腕带设备。 Careband使用LORA技术，使其可容纳没有互联网或蜂窝的人 服务。这项研究将开发一个新的度量标准，即寿命表现（LSP）得分，将捕获 通过基于数量，频率和速度以及 在任何临床上相关的时间段内，运动质量（稳定，下降，速度）。我们的长期目标是 使用LSP指标来跟踪临床前受试者认知投诉的认知能力下降 在地理和文化多样化的人群中，ADRD的阶段。我们的总体假设是文化 地理是确定一个人的寿命的重要因素，并且LSP的准确性测量 可以通过制定衡量其独特的措施来实现土著和粗糙的人口 上下文。使用基于社区的参与研究方法，我们将与土著和定期合作 为了实行护理带来的社区，使我们能够收集有关粗糙和土著寿命利用的数据 产生LSP分数，将使PWD及其护理人员受益。我们的研究具有三个具体目标。首先，我们 将进行深度访谈以生成定性数据，以通过识别和 优先考虑指导护理决策的最关键的寿命行为。其次，护理带来 在粗糙和土著人中驾驶12周，有20人患有痴呆症护理人员，以占领位置， 房屋内外运动的运动和速度。第三，我们将通过 分析目标1和2中捕获的定性和定量结果以创建LSP分数。这 研究将将寿命措施数字化成LSP分数，其中包括适合农村和的指标 土著人口，并将为随后的R01申请奠定基础，以验证上下文 针对现有黄金标准的特定LSP指标。文化上适当的LSP测量将有助于 通过改善早期检测，诊断和对土著人口的护理来改善健康公平。