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:10484412
- 负责人:
- 金额:$ 44.98万
- 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 2023-04-30
- 项目状态:已结题
- 来源:
- 关键词:Activities of Daily LivingAddressAlzheimer&aposs disease related dementiaBrainBrain regionBusinessesCalendarCaregiver BurdenCaregiver supportCaregiver well-beingCaregiversCaringCategoriesClient satisfactionCognitionCommunicationCommunitiesCritical ThinkingDataDementiaDevicesDropoutEducationEffectivenessEmergency SituationEmotionalFamilyFamily CaregiverFoundationsGuidelinesHabitsHealthHealth care facilityHealthcare SystemsHomeHospitalizationHospitalsImpaired cognitionIndividualInformation NetworksKnowledgeLearningLegal patentLibrariesLife ExperienceMapsMeasurableMeasuresMemoryMental HealthMobile Health ApplicationMotivationNeurosciencesOccupationsOutcomeParticipantPatient CarePatient Self-ReportPatient-Focused OutcomesPatientsPerformancePersonal SatisfactionPersonsPhaseProcessProgressive DiseaseProviderPublishingQuality of CareQuality of lifeRiskRoleScheduleSelf CareSelf PerceptionSelf-Help DevicesSmall Business Innovation Research GrantSocial NetworkSocial supportStandardizationStressSupport SystemSystemSystems IntegrationTechnologyTrainingTraining ProgramsVisitVisualVoiceWellness CenterWorkacceptability and feasibilitybaseburnoutcare coordinationcaregiver educationcaregivingcognitive testingcommercializationcommunity buildingcostdashboarddementia caredesignexperiencefamily burdenfamily caregivingfunctional statusimprovedinnovationmHealthmemory careperson centeredphysical conditioningprogramsresponseskillssocialusabilityvisual map
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.
项目概要 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
获得专利的视觉映射系统,由智能设备支持,可提高认知能力并强化日常习惯
患有 AD/ADRD 的个体。 MHS 方法依赖于以下发现:大脑的某些区域
AD/ADRD 过程中,习惯和程序性学习的基础区域不会受到影响,并且这些区域可以
帮助维持日常生活活动 (ADL)。技术创新解决了未满足的需求
FastTrack:护理工作通常被认为是压力最大、认识不足、报酬不足的工作之一
和支持不足的工作。新的 MHS+ 护理人员培训计划 (CTP) 将提供关键创新功能
提高护理人员自身的生活质量,这反过来又会导致营业额减少和减少
所有类型的护理机构、医院系统以及付款人和提供者的护理人员相关成本负担。
这将使 MHS 成为 AD/ADRD 社区中独特的移动医疗产品,并将扩大其市场
竞争力,吸引家庭用户,并且对记忆护理设施特别有吸引力
关注在管理照顾者负担方面取得可衡量的改善。 CTP 将具有
旨在直接支持护理人员履行其职责的创新组件,包括自定进度的学习
首先了解护理人员的知识和技能水平;互动式现场辅导课程;简单的
使用以护理人员为中心的仪表板来共享信息,并使用社交网络功能来促进社交
支持和社区建设。
第一阶段,即目标 1,将把 CTP 构建到 MHS 平台中。第一阶段目标 2 将评估可用性,
使用涉及 15 名护理人员/患者二人组的迭代可用性研究来确定 CTP 的可接受性和可行性
确定最佳用户体验,并相应地修改构建。第二阶段,目标 1,我们将构建增强型
用户支持模块可改善 CTP 体验,包括可视化地图游戏,以提高护理人员的自我认知能力
意识、动机和学习,为其他护理人员提供社会支持联系的社交网络,
以及以护理人员为中心的仪表板,供护理人员跟踪自己的压力和健康状况以及关键
患者表现测量。第二阶段目标 2 将评估该方案的可用性、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 名护理人员/患者二人组)来确定是否
与单独使用 MHS 相比,将 CTP 添加到 MHS 可以改善护理人员和患者的治疗效果。
我们假设增强护理人员的知识以及社会和情感支持将改善护理人员
生活质量,进而提高患者的整体护理质量和功能状态。初级
数据驱动的结果将是护理人员的生活质量。由 MHS 确定并标准化的患者护理
还将评估认知评估以及自我报告的护理人员和患者满意度。这
以护理人员为中心的综合性、易于使用的培训计划将是护理人员市场所独有的。
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
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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:
10834789 - 财政年份:2022
- 资助金额:
$ 44.98万 - 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:
$ 44.98万 - 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:
$ 44.98万 - 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:
$ 44.98万 - 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:
$ 44.98万 - 项目类别:
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