An Ecological Momentary Assessment Based Program to Support Self-Management for Post-stroke Patients
NCT07691411 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 50
Last updated 2026-07-08
Summary
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
Conditions
- Stroke
- Post Stroke
Interventions
- BEHAVIORAL
-
Ecological Momentary Assessment based Self-management Program
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.
Sponsors & Collaborators
-
The Hong Kong Polytechnic University
lead OTHER
Principal Investigators
-
Arkers KC Wong, PhD · The Hong Kong Polytechnic University
Study Design
- Allocation
- NA
- Purpose
- HEALTH_SERVICES_RESEARCH
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-01-06
- Primary Completion
- 2026-09-30
- Completion
- 2026-11-30
Countries
- Hong Kong
Study Locations
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