NCT07145723已完成不适用
Supporting Care Partners' Well-Being With AI Chatbots: A Feasibility and Acceptability Study
适应症
干预措施
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 26
- 试验地点
- 1
- 主要终点
- Feasibility and Acceptability as measured by the Feasibility and Acceptability Questionnaire
研究概览
简要总结
This study is being completed to test an AI therapy chatbot application called Earkick to see whether it is feasible and acceptable in supporting care partners who support individuals living with dementia.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Other
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Participants need to be a care partner (informal caregiver) of an individual living with dementia
- •Participant provides emotional, physical, and/or financial support/assistance to the individual with dementia (per protocol)
- •Participants indicate high levels of caregiver burden, confirmed using the 12-item Zarit Burden questionnaire (per protocol)
- •Provide informed consent and read, speak, and understand English
- •Have an Apple smartphone, tablet, or laptop, have access to the internet and text messages, and be willing to use this device as well as internet and text message access for the study, including downloading the AI chatbot app
- •Be willing to complete all study assessments
排除标准
- •Professional, paid caregivers
- •Anything that would preclude safe or meaningful participation in the study
研究组 & 干预措施
Earkick app
Experimental
干预措施: Earkick app (Other)
结局指标
主要结局
Feasibility and Acceptability as measured by the Feasibility and Acceptability Questionnaire
时间窗: 4 weeks and 8 weeks (post intervention)
Feasibility and Acceptability Questionnaire (items are scaled from 1 to 5 to indicate level of agreement, where "1" indicates "strong disagreement" and "5" indicates "strong agreement").
次要结局
- Attrition as measured by the percent of participants completing the study(8 weeks)
- Adherence as measured by the percentage of missing data over the course of the study(8 weeks)
研究者
Mark Newman
Professor of Information
University of Michigan
研究点 (1)
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