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
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
50
The research team collects participants' EMA data (ie., depression, cognitive function, daily activity, and contextual data) from participants for 7-day and analyze the data by machine learning in the first phase, while provide real-time, individualized, self-care messages to the participants via a personalized self-care AI app in the second phase.
Queen Elizabeth Hospital
Hong Kong, Hong Kong, Hong Kong
RECRUITINGFeasibility of the study: acceptance
The acceptance of participants to the program will be measured by recruitment rate, attrition rate, and retention rate.
Time frame: Immediately after the intervention (T2).
Feasibility of the study: adherence
The adherence of the participants will be evaluated by using the percentage of completed EMA assessments and the frequency of app usage.
Time frame: Immediately after the intervention (T2).
Feasibility of the study: experience of the participants in using the app
Participants' experience will be assessed through individual interviews.
Time frame: Immediately after the intervention (T2).
Preliminary effectiveness: depression Levels
Beck Depression Inventory (BDI) will be used to assess the depression levels of post-stroke patients.
Time frame: Pre-intervention (T1) and immediately after the intervention (T2).
Preliminary effectiveness: cognitive function
Cognitive function will be screened using Montreal Cognitive Assessment Hong Kong version (HK-MoCA).
Time frame: Pre-intervention (T1) and immediately after the intervention (T2).
Preliminary effectiveness: disability and functioning
The World Health Organization Disability Assessment Schedule (WHODAS 2.0) is a widely used instrument for assessing disability and functioning in individuals.
Time frame: Pre-intervention (T1) and immediately after the intervention (T2).
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