Combining Machine Learning and Ecological Momentary Assessment of Depression, Cognitive Function and Daily Activity Behavior to Support Self-Management for Post-stroke Patients: A Feasibility Study
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- Feasibility of the study: acceptance
研究概览
简要总结
The goal of this feasibility study is to test whether a new approach that combines real-time symptom tracking (Ecological Momentary Assessment) with machine learning can help people recovering from a stroke to better manage depression, thinking difficulties, and daily functioning. The main questions it aims to answer are:
Is this combined approach practical and acceptable for post-stroke survivors? Does the program improve mood, cognitive function, or functional ability to carry out daily activities?
Participants will:
Use a smartphone app called RehabCare Companion for a period of time Answer brief daily surveys about their mood, thoughts, and activities for one week Receive personalized self-care suggestions generated by machine learning based on their responses Complete assessments of depression, cognition, and functioning before and after the program Take part in a group interview to share their experiences
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Health Services Research
- 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
- •adults aged 18 years or older
- •having a confirmed diagnosis of stroke
- •having sufficient proficiency in Cantonese to understand and respond to the assessments and prompts
- •having a Hong Kong version of the Montreal Cognitive Assessment (HK-MoCA) score of 18 or higher
- •having a smartphone.
排除标准
- •they have moderate to severe cognitive impairment (a HK-MoCA score of 17 or lower)
- •they have active psychiatric disorders other than depression (e.g., schizophrenia, bipolar disorder)
- •they have a terminal illness or prognosis that suggests a limited life expectancy
- •they have conditions that compromise their self-care ability (i.e., bedbound).
结局指标
主要结局
Feasibility of the study: acceptance
时间窗: Immediately after the intervention (T2).
The acceptance of participants to the program will be measured by recruitment rate, attrition rate, and retention rate.
Feasibility of the study: adherence
时间窗: Immediately after the intervention (T2).
The adherence of the participants will be evaluated by using the percentage of completed EMA assessments and the frequency of app usage.
Feasibility of the study: experience of the participants in using the app
时间窗: Immediately after the intervention (T2).
Participants' experience will be assessed through individual interviews.
次要结局
- Preliminary effectiveness: depression Levels(Pre-intervention (T1) and immediately after the intervention (T2).)
- Preliminary effectiveness: cognitive function(Pre-intervention (T1) and immediately after the intervention (T2).)
- Preliminary effectiveness: disability and functioning(Pre-intervention (T1) and immediately after the intervention (T2).)
研究者
Arkers, Wong
Associate Professor
The Hong Kong Polytechnic University