Clinical Research Directory

An Ecological Momentary Assessment Based Program to Support Self-Management for Post-stroke Patients

Sponsor: The Hong Kong Polytechnic University

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

Official title: 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

Key Details

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Locations (1)