An assistive-technology based Caregiver Training Program (CTP) to enhance caregiver effectiveness, well-being, and quality of life, which will improve overall care for individuals living with AD/ADRD.
基于辅助技术的护理人员培训计划 (CTP),旨在提高护理人员的效率、福祉和生活质量,从而改善 AD/ADRD 患者的整体护理。
基本信息
- 批准号:10834789
- 负责人:
- 金额:$ 126.4万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-15 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
Project Summary Abstract
The MapHabit System (MHS) is our neuroscience-based interactive care management platform that utilizes a
patented visual mapping system supported by smart devices to improve cognition and reinforce routine habits
in individuals living with AD/ADRD. The MHS approach relies on the discovery that certain regions of the brain
that underlie habit and procedural learning are spared during the course of AD/ADRD, and these regions can
help maintain activities of daily living (ADLs). Unmet needs addressed by the technical innovation for this
FastTrack: Caregiving is commonly acknowledged as one of the most stressful, under-recognized, under-paid,
and under-supported jobs. The new MHS+Caregiver Training Program (CTP) will offer key innovative feature
to enhance the caregivers’ own quality of life, which, in turn, will result in reduced turnover and reduced
caregiver-related cost burdens in all types of care settings, hospital systems, and for payers and providers.
This will make MHS a unique mHealth product in the AD/ADRD community and will increase its market
competitiveness, attract in-home users and be especially appealing to memory care facilities that are
concerned with achieving measurable improvements in managing caregiver burden. The CTP will feature
innovative components designed to directly support caregivers in their role, including self-paced learning
starting with understanding the caregiver’s knowledge and skill level; interactive live coaching sessions; easy
to use caregiver-centric dashboards to share information, and social networking capabilities to promote social
support and community building.
Phase I, Aim 1, will build out the CTP into the MHS platform. Phase I, Aim 2, will assess usability,
acceptability and feasibility of the CTP using iterative usability studies involving 15 caregiver/patient dyads to
determine optimal user experience, and modify the build accordingly. Phase II, Aim 1, we’ll build out enhanced
user support modules to improve the CTP experience, including visual map games to increase caregiver self-
awareness, motivation, and learning, social networks to provide social support connection to other caregivers,
and a caregiver-centric dashboard for caregivers to track their own stress and well-being, as well as key
patient performance measures. Phase II, Aim 2, will assess usability, acceptability and feasibility of the
enhanced CTP features. Phase II, Aim 3, we’ll conduct a RCT (n=50 caregiver/patient dyads) to determine if
adding the CTP to the MHS leads to enhanced caregiver and patient outcomes compared to the MHS alone.
We hypothesize that enhancing caregiver knowledge and social and emotional support will improve caregiver
quality of life, which will, in turn, improve the patient’s overall quality of care and functional status. The primary
data driven outcome will be caregiver quality of life. Patient care, determined by the MHS and standardized
cognitive assessments as well as self-reported caregiver and patient satisfaction will be assessed as well. This
integrative, easy to use caregiver-centric training program will be unique to the caregiver market.
项目摘要摘要
MapHabit系统(MHS)是我们基于神经科学的交互式护理管理平台,它利用
智能设备支持的专利视觉地图系统,改善认知,强化日常习惯
在患有AD/ADRD的个人中。MHS方法依赖于大脑的某些区域的发现
在AD/ADRD过程中,基本的习惯和程序性学习是可以避免的,这些区域可以
帮助维持日常生活活动(ADL)。通过技术创新解决的未得到满足的需求
快速通道:护理通常被认为是压力最大、认识不足、收入最低的
和没有得到充分支持的工作。新的MHS+护理员培训计划(CTP)将提供关键的创新功能
以提高照顾者自身的生活质量,这反过来将导致减少营业额和减少
在所有类型的护理环境、医院系统以及付款人和提供者的照顾者相关成本负担。
这将使MHS成为AD/ADRD社区中独特的mHealth产品,并将增加其市场
竞争力,吸引家庭用户,特别是对符合以下条件的记忆护理设施
关心在管理照顾者负担方面取得可衡量的改进。CTP将以
旨在直接支持照顾者发挥其作用的创新组件,包括自我进度学习
从了解照顾者的知识和技能水平开始;互动现场辅导课程;轻松
使用以照顾者为中心的仪表板共享信息,并使用社交网络功能促进社交
支持和社区建设。
第一阶段,目标1,将把CTP构建成MHS平台。第一阶段,目标2,将评估可用性,
CTP的可接受性和可行性使用迭代可用性研究,涉及15名护理者/患者双方,以
确定最佳用户体验,并相应地修改构建。第二阶段,目标1,我们将建造增强版
改善CTP体验的用户支持模块,包括增加照顾者自我保护的视觉地图游戏
意识、动机和学习,社交网络为其他照顾者提供社会支持联系,
和一个以照顾者为中心的仪表盘,让照顾者跟踪自己的压力和幸福感,以及关键
患者表现衡量标准。第二阶段,目标2,将评估可用性、可接受性和可行性
增强的CTP功能。第二阶段,目标3,我们将进行随机对照试验(n=50名照顾者/患者双方)以确定是否
与单独使用MHS相比,将CTP添加到MHS会导致更好的照顾者和患者结局。
我们假设,增加照顾者的知识以及社会和情感支持将改善照顾者
生活质量,这将反过来改善患者的整体护理质量和功能状态。初级阶段
数据驱动的结果将是照顾者的生活质量。病人护理,由卫生部确定并标准化
认知评估以及自我报告的照顾者和患者满意度也将被评估。这
综合性的、易于使用的以护理者为中心的培训计划将是护理者市场独一无二的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Matthew Golden其他文献
Matthew Golden的其他文献
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{{ truncateString('Matthew Golden', 18)}}的其他基金
An assistive-technology based Caregiver Training Program (CTP) to enhance caregiver effectiveness, well-being, and quality of life, which will improve overall care for individuals living with AD/ADRD.
基于辅助技术的护理人员培训计划 (CTP),旨在提高护理人员的效率、福祉和生活质量,从而改善 AD/ADRD 患者的整体护理。
- 批准号:
10484412 - 财政年份:2022
- 资助金额:
$ 126.4万 - 项目类别:
Using gamification, predictive analytics, artificial intelligence, and Alexa Voice to optimize user experience for individuals living with AD/ADRD and their caregivers
使用游戏化、预测分析、人工智能和 Alexa Voice 来优化 AD/ADRD 患者及其护理人员的用户体验
- 批准号:
10683426 - 财政年份:2019
- 资助金额:
$ 126.4万 - 项目类别:
Using gamification, predictive analytics, artificial intelligence, and Alexa Voice to optimize user experience for individuals living with AD/ADRD and their caregivers
使用游戏化、预测分析、人工智能和 Alexa Voice 来优化 AD/ADRD 患者及其护理人员的用户体验
- 批准号:
10325279 - 财政年份:2019
- 资助金额:
$ 126.4万 - 项目类别:
Using gamification, predictive analytics, artificial intelligence, and Alexa Voice to optimize user experience for individuals living with AD/ADRD and their caregivers
使用游戏化、预测分析、人工智能和 Alexa Voice 来优化 AD/ADRD 患者及其护理人员的用户体验
- 批准号:
10590558 - 财政年份:2019
- 资助金额:
$ 126.4万 - 项目类别:
Using gamification, predictive analytics, artificial intelligence, and Alexa Voice to optimize user experience for individuals living with AD/ADRD and their caregivers
使用游戏化、预测分析、人工智能和 Alexa Voice 来优化 AD/ADRD 患者及其护理人员的用户体验
- 批准号:
10468936 - 财政年份:2019
- 资助金额:
$ 126.4万 - 项目类别:
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