An Ecological Momentary Assessment Based Program to Support Self-Management for Post-stroke Patients
Recruiting · NCT07691411 · Interventional (participants receive a specific treatment) · Lead sponsor: The Hong Kong Polytechnic University
View the official record on ClinicalTrials.gov →Interventions studied
What this trial is about
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
Who can take part
Inclusion criteria
- 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.
Exclusion criteria
- 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).
Where it is running
1 location listed.
- Queen Elizabeth Hospital - Hong Kong, Hong Kong, Hong Kong