Condition: Stroke · Post Stroke · Sponsor: The Hong Kong Polytechnic University
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
This description comes directly from the study's public registry record.
Arkers KC Prof. Wong, PhD · +852 34003805 · arkers.wong@polyu.edu.hk
Nuo Dr. Shi, DHSc · +852 34008172 · nuo-catherine.shi@polyu.edu.hk
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| Queen Elizabeth Hospital | Hong Kong, Hong Kong, Hong Kong | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07691411