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

NCT07691411 | Recruiting

• 1 other identifier: WZ8L
• Study Type: interventional
• Target: 50
• Locations: 1 country
• Sites: 1

Brief 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

Conditions

Stroke; Post Stroke

Keywords

Stroke; Self-management; Depression; Cognitive Function; Ecological Momentary Assessment

Outcome Measures

Primary Outcomes (3)

• Feasibility of the study: acceptance

  The acceptance of participants to the program will be measured by recruitment rate, attrition rate, and retention rate.

  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.

  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.

  Immediately after the intervention (T2).

Secondary Outcomes (3)

• Preliminary effectiveness: depression Levels

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

• Preliminary effectiveness: cognitive function

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

• Preliminary effectiveness: disability and functioning

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

Study Arms (1)

Ecological Momentary Assessment based Self-management Program

EXPERIMENTAL

Ecological Momentary Assessment based Self-management Program

Behavioral: Ecological Momentary Assessment based Self-management Program

Interventions

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.

Ecological Momentary Assessment based Self-management Program

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• 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).

Sponsors & Collaborators

• The Hong Kong Polytechnic University: lead

Study Sites (1)

Queen Elizabeth Hospital

Hong Kong, Hong Kong, 999077, Hong Kong

RECRUITING

MeSH Terms

Conditions

Stroke; Depression

Condition Hierarchy (Ancestors)

Cerebrovascular Disorders; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Vascular Diseases; Cardiovascular Diseases; Behavioral Symptoms; Behavior

Study Officials

• Arkers KC Wong, PhD

  The Hong Kong Polytechnic University

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Arkers KC Prof. Wong, PhD

CONTACT

+852 34003805; arkers.wong@polyu.edu.hk

Nuo Dr. Shi, DHSc

CONTACT

+852 34008172; nuo-catherine.shi@polyu.edu.hk

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: HEALTH SERVICES RESEARCH
• Intervention Model: SINGLE GROUP
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Associate Professor

Model Details: Ecological Momentary Assessment based Self-Management Program

Study Record Dates

• First Submitted: June 29, 2026
• First Posted: July 8, 2026
• Study Start: January 6, 2026
• Primary Completion (Estimated): September 30, 2026
• Study Completion (Estimated): November 30, 2026
• Last Updated: July 8, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will not share

Locations

HK (1)