An Ecological Momentary Assessment Based Program to Support Self-Management for Post-stroke Patients
Recruiting
N/AInterventional Study
StrokePost Stroke
No Placebo Group
Every participant receives an active treatment — no one gets a placebo.
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At a Glance
Age
18 and older
Sex
Any
Study type
Interventional
Purpose
Health Services Research
Participants needed
50 (estimated)
Sponsor
The Hong Kong Polytechnic University · Other
Who this trial is looking for
This trial is looking for adults who have had a stroke to try a new program that helps them manage their recovery. Participants will use a smartphone app for one week to track their mood and activities and receive personalized suggestions to improve their well-being.
Are You a Good Fit for This Trial?
You may be able to join if
I am 18 years old or older
I have been diagnosed with a stroke
I can understand and speak Cantonese
I have a Hong Kong version of the Montreal Cognitive Assessment score of 18 or higher
I have a smartphone
You may not be able to join if
I have moderate to severe cognitive impairment
I have active psychiatric disorders other than depression
I have a terminal illness
I am bedbound or cannot take care of myself
Summarized in plain language from this trial's official eligibility criteria.
The full criteria are further down this page — only the research team can
confirm whether you qualify.
Think this trial could be right for you?
Answer a few quick questions to see if you may meet the eligibility requirements.
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 survivor…
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
Trial Locations
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Eligibility Criteria
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
* havi…
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).
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