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NCT Number: NCT07691411

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

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

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Key information

Conditions

Stroke Behavior Behavioral Symptoms Brain Diseases Cardiovascular Diseases Central Nervous System Diseases Cerebrovascular Disorders Depression Nervous System Diseases Post Stroke Vascular Diseases

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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).

Treatment and study plan

Ecological Momentary Assessment based Self-management Program

Behavioral

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.

Primary outcomes

  1. 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.

  2. 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.

  3. 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.

Secondary outcomes

  1. Preliminary effectiveness: depression Levels

    Time frame: Pre-intervention (T1) and immediately after the intervention (T2).

    Beck Depression Inventory (BDI) will be used to assess the depression levels of post-stroke patients.

  2. Preliminary effectiveness: cognitive function

    Time frame: Pre-intervention (T1) and immediately after the intervention (T2).

    Cognitive function will be screened using Montreal Cognitive Assessment Hong Kong version (HK-MoCA).

  3. Preliminary effectiveness: disability and functioning

    Time frame: Pre-intervention (T1) and immediately after the intervention (T2).

    The World Health Organization Disability Assessment Schedule (WHODAS 2.0) is a widely used instrument for assessing disability and functioning in individuals.

Study contacts

Contact information is provided by the study sponsor or research team.

Arkers KC Prof. Wong, PhD

CONTACT

[email protected]

+852 34003805

Nuo Dr. Shi, DHSc

CONTACT

[email protected]

+852 34008172

Sponsors and collaborators

Lead sponsor

The Hong Kong Polytechnic University

Other

Registry information

Official study 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

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
Jul 8, 2026
Registry last updated
Jul 8, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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