Machine Learning Enabled Management of Behavioural and Psychological Symptoms of Dementia Intervention for Dementia Caregivers

NCT07444866 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 550

Last updated 2026-05-18

No results posted yet for this study

Summary

Develop and test a machine learning enabled management of behavioural and psychological symptoms of dementia intervention for dementia caregivers.

Conditions

  • Dementia Caregiver

Interventions

BEHAVIORAL

Active Control

No APP based coaching, no human coaching, no rerandomization, no MRT

BEHAVIORAL

Behavioral: Continue

Continue with existing intervention plan

BEHAVIORAL

Behavioral: Enhance human coaching

Increase intensity of human coaching

BEHAVIORAL

Behavioral: Booster

Add a booster session

Sponsors & Collaborators

  • The Hong Kong Polytechnic University

    collaborator OTHER
  • Lingnan University

    collaborator OTHER
  • Columbia University

    collaborator OTHER
  • Penn State University

    collaborator OTHER
  • The University of Hong Kong

    collaborator OTHER
  • Deakin University

    collaborator OTHER
  • Education University of Hong Kong

    lead OTHER

Principal Investigators

  • Kee Lee Chou, PhD · The Education University of Hong Kong

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
DOUBLE
Model
FACTORIAL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-06-01
Primary Completion
2027-11-30
Completion
2027-11-30

Countries

  • Hong Kong

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07444866 on ClinicalTrials.gov