StrokeNCT07691411
An Ecological Momentary Assessment Based Program to Support Self-Management for Post-stroke Patients
A study testing Ecological Momentary Assessment based Self-management Program in people with Stroke and Post Stroke, run by The Hong Kong Polytechnic University at 1 site in Hong Kong.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Stroke, Post Stroke
- What is being tested?
- Ecological Momentary Assessment based Self-management Program
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 50 participants
- Where
- 1 siteHong Kong
- Study dates
- 6 Jan 2026to 30 Nov 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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).
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Hong Kong1 site, 1 recruiting
- Recruiting
Queen Elizabeth Hospital
Hong Kong, Hong Kong, 999077
Vivian WY Ms. Kwok, +852 34003805, arkers.wong@polyu.edu.hk
About this study
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
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?
Read more
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
- Being tested
- Ecological Momentary Assessment based Self-management Program
- Keywords
- Stroke, Self-management, Depression, Cognitive Function, Ecological Momentary Assessment
- Medical subject headings
- Stroke, Depression
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Ecological Momentary Assessment based Self-management ProgramBehavioural
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.
| Study group | Role | What they receive |
|---|---|---|
| Ecological Momentary Assessment based Self-management Program | Experimental | Ecological Momentary Assessment based Self-management Program Receives: Behavioral: Ecological Momentary Assessment based Self-management Program |
What is being measured
The primary outcome is the main question the study is designed to answer.
Feasibility of the study: acceptance
The acceptance of participants to the program will be measured by recruitment rate, attrition rate, and retention rate.
Measured: Immediately after the intervention (T2).
Feasibility of the study: adherence
The adherence of the participants will be evaluated by using the percentage of completed EMA assessments and the frequency of app usage.
Measured: Immediately after the intervention (T2).
Feasibility of the study: experience of the participants in using the app
Participants' experience will be assessed through individual interviews.
Measured: Immediately after the intervention (T2).
Secondary outcomes (3)
Preliminary effectiveness: depression Levels
Beck Depression Inventory (BDI) will be used to assess the depression levels of post-stroke patients.
Measured: Pre-intervention (T1) and immediately after the intervention (T2).
Preliminary effectiveness: cognitive function
Cognitive function will be screened using Montreal Cognitive Assessment Hong Kong version (HK-MoCA).
Measured: Pre-intervention (T1) and immediately after the intervention (T2).
Preliminary effectiveness: disability and functioning
The World Health Organization Disability Assessment Schedule (WHODAS 2.0) is a widely used instrument for assessing disability and functioning in individuals.
Measured: Pre-intervention (T1) and immediately after the intervention (T2).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted8 Jul 2026
- Study start6 Jan 2026
- Primary completion30 Sep 2026 (estimated)
- Study completion30 Nov 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for StrokeStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Not applicable
- Intervention model
- Single group
- Model description
- Ecological Momentary Assessment based Self-Management Program
- Masking
- None (open label)
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The Hong Kong Polytechnic University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Arkers, Wong, The Hong Kong Polytechnic University
- Investigators
- Arkers KC Wong, PhD, Principal investigator, The Hong Kong Polytechnic University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07691411
- Sponsor's protocol ID
- WZ8L
- Status last verified
- Jun 2026
- First submitted
- 29 Jun 2026
- Last updated
- 8 Jul 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 8 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- 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
- ClinicalTrials.gov ID
- NCT07691411
- Acronym / sponsor ID
- WZ8L
- Conditions
- Stroke, Post Stroke
- Keywords
- Stroke, Self-management, Depression, Cognitive Function, Ecological Momentary Assessment
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- The Hong Kong Polytechnic UniversityUniversity, hospital or other
- Study start
- 6 Jan 2026 (actual)
- Primary completion
- 30 Sep 2026 (estimated)
- Study completion
- 30 Nov 2026 (estimated)
- First posted
- 8 Jul 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
Study design
- Primary purpose
- Health services research
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
- Model description
- Ecological Momentary Assessment based Self-Management Program
| Arm | Type | Receives |
|---|---|---|
| Ecological Momentary Assessment based Self-management Program | Experimental | Behavioral: Ecological Momentary Assessment based Self-management ProgramEcological Momentary Assessment based Self-management Program |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- 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.
Key exclusion criteria (4 listed)
- 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).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Ecological Momentary Assessment based Self-management ProgramThe 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. | Behavioural | Ecological Momentary Assessment based Self-management Program |
Primary outcome
Feasibility of the study: acceptance
Time frame: Immediately after the intervention (T2).
The acceptance of participants to the program will be measured by recruitment rate, attrition rate, and retention rate.
Feasibility of the study: adherence
Time frame: Immediately after the intervention (T2).
The adherence of the participants will be evaluated by using the percentage of completed EMA assessments and the frequency of app usage.
Feasibility of the study: experience of the participants in using the app
Time frame: Immediately after the intervention (T2).
Participants' experience will be assessed through individual interviews.
3 secondary outcomes
Preliminary effectiveness: depression Levels
Time frame: Pre-intervention (T1) and immediately after the intervention (T2).
Preliminary effectiveness: cognitive function
Time frame: Pre-intervention (T1) and immediately after the intervention (T2).
Preliminary effectiveness: disability and functioning
Time frame: Pre-intervention (T1) and immediately after the intervention (T2).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Jul 2026.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Arkers KC Wong, PhD principal investigator
The Hong Kong Polytechnic University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Ecological Momentary Assessment based Self-management Program in people with Stroke and Post Stroke, run by The Hong Kong Polytechnic University at 1 site in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 8 Jul 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Arkers KC Prof. Wong, PhD (+852 34003805, arkers.wong@polyu.edu.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Feasibility of the study: acceptance (time frame: Immediately after the intervention (T2).). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 8 Jul 2026.