MedTrace Logo

Developing and Testing a Machine Learning Enabled Mindfulness Intervention for Reducing Loneliness Among Hong Kong Chinese Older Adults

NCT07308613 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 250

Last updated 2026-03-19

No results posted yet for this study

Summary

Develop and test an effective machine learning enabled application-based (app-based) mindfulness intervention for reducing loneliness of Hong Kong Chinese older adults.

Conditions

  • Loneliness

Interventions

BEHAVIORAL

Mindfulness - Continue

Second-line of coaching (4 weeks): Continue with existing intervention plan

BEHAVIORAL

Mindfulness - Enhance human coaching

Second-line of coaching (4 weeks): Increase intensity of human coaching

BEHAVIORAL

Mindfulness - Booster

Second-line of coaching (4 weeks): Add a booster session

BEHAVIORAL

Active Control

No rerandomization, no mindfulness, No MRT

Sponsors & Collaborators

  • University of Texas at Austin

    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
65 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-05-01
Primary Completion
2026-12-31
Completion
2027-12-31

Countries

  • Hong Kong

Study Locations

More Related Trials

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 NCT07308613 on ClinicalTrials.gov