NCT06888557

Brief Summary

The goal of this study is to find out if a smartphone-based program (called 3S-C) can help people with COPD live better, healthier lives. It will also look at how the program affects their knowledge, habits, and overall health. The main questions the study wants to answer are:

  • Does the 3S-C program help people with COPD feel better and improve their quality of life?
  • Does it help them understand and manage their condition better?
  • Does it improve their health, such as reducing breathing problems or making it easier to sleep?
  • Can it reduce the need for hospital visits or other healthcare? Participants will be split into two groups: The 3S-C group: They will use the smartphone-based program, which includes: (i) Two short individual sessions to motivate them, (ii) helpful messages sent through apps like WhatsApp or WeChat; (iii) support through personalized messaging, phone calls, and a hotline; (iv) an online platform to track their health; and (v) a group session to connect with other COPD patients. The general hygiene (control) group: They will get information about staying healthy, such as tips on hand washing, food safety, keeping their home clean, and better sleep habits. What will participants do? Take part in the study for 12 months. visit the clinic for checkups and complete surveys and simple fitness tests at the start, after 4 months, and after 12 months. Researchers will check if the 3S-C program improves:
  • quality of life and how well people manage their condition.
  • habits like taking medication on time, exercising, eating well, or quitting smoking.
  • health outcomes like breathing, sleep, or feeling less anxious or depressed. This study will compare the 3S-C program to general hygiene tips to see if using a smartphone can make living with COPD easier and healthier.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
130

participants targeted

Target at P50-P75 for not_applicable

Timeline
23mo left

Started Mar 2025

Typical duration for not_applicable

Geographic Reach
1 country

3 active sites

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress37%
Mar 2025Mar 2028

First Submitted

Initial submission to the registry

March 11, 2025

Completed
8 days until next milestone

Study Start

First participant enrolled

March 19, 2025

Completed
2 days until next milestone

First Posted

Study publicly available on registry

March 21, 2025

Completed
2.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2027

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 31, 2028

Last Updated

August 22, 2025

Status Verified

August 1, 2025

Enrollment Period

2.8 years

First QC Date

March 11, 2025

Last Update Submit

August 18, 2025

Conditions

Keywords

COPDChronic Obstructive Pulmonary Diseaseself-managementdigitalmobilesmartphoneQOLquality of lifemixed-method

Outcome Measures

Primary Outcomes (1)

  • Change in quality of life

    Measured by an 8-item COPD Assessment Test (CAT). Each item score ranges from 0 to 5. The total score ranges from a minimum of 0 to a maximum of 40. Higher scores denote a more severe impact of COPD on a patient's life. The difference between stable and exacerbation patients was five units. No target score represents the best achievable outcome.

    Baseline, month 4

Secondary Outcomes (22)

  • Change in quality of life

    Baseline, month 12

  • Change in patient activation

    Baseline, month 4 and 12

  • Change in self-efficacy for self-management

    Baseline, month 4 and 12

  • Change in acceptance of illness

    Baseline, month 4 and 12

  • Change in medication adherence

    Baseline, month 4 and 12

  • +17 more secondary outcomes

Study Arms (2)

The General Hygiene (GHI) group

NO INTERVENTION

The General Hygiene (GHI) group will not receive any intervention within the study period other than some general hygiene information, and will not join the mutual support group.

The Intervention (3S-C) group

ACTIVE COMPARATOR

The 3S-C intervention group will receive a smartphone-based self-management support program for them to motivate, actively engage and empower self-management, supplement current service, and provide remote continuous support within the study period.

Behavioral: Smartphone-based self-management support program ( 3S-C)

Interventions

The 3S-C include: (1) two 30-minute individual sessions ; (2) a set of instant messages, 10-minute telephone-delivered health coaching ; (3) continuous personalized chat-based messaging, phone call support, and hotline service ; (4) an e-platform for goal setting and self-monitoring ; (5) A mutual support group session.

The Intervention (3S-C) group

Eligibility Criteria

Age40 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Aged 40 years and above
  • Confirmed diagnosis of COPD
  • Had COPD acute exacerbation in prior 6 months that required hospitalization, medical intervention or seek medical consultation
  • Mentally, cognitively and physically fit to join as determined by the doctor in-charge and responsible clinical investigators
  • Can speak and read Chinese
  • Completion of the Physical Activity Readiness Questionnaire
  • Has a smartphone with WhatsApp or WeChat

You may not qualify if:

  • Have other significant lung disease or Class 4 heart failure \[defined by the New York Heart Association classification\]
  • Serious active infection
  • Inability to walk
  • Unstable psychiatric illness

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (3)

Queen Mary Hospital

Hong Kong, Hong Kong, Hong Kong

NOT YET RECRUITING

Queen Elizbeth Hospital

Hong Kong, Hong Kong

RECRUITING

United Christian Hospital

Hong Kong, Hong Kong

RECRUITING

Related Publications (10)

  • Zhao H, Kanda K. Translation and validation of the standard Chinese version of the EORTC QLQ-C30. Qual Life Res. 2000 Mar;9(2):129-37. doi: 10.1023/a:1008981520920.

    PMID: 10983477BACKGROUND
  • Ansari S, Hosseinzadeh H, Dennis S, Zwar N. Activating primary care COPD patients with multi-morbidity through tailored self-management support. NPJ Prim Care Respir Med. 2020 Apr 3;30(1):12. doi: 10.1038/s41533-020-0171-5.

    PMID: 32245961BACKGROUND
  • Kjellsdotter A, Andersson S, Berglund M. Together for the Future - Development of a Digital Website to Support Chronic Obstructive Pulmonary Disease Self-Management: A Qualitative Study. J Multidiscip Healthc. 2021 Apr 6;14:757-766. doi: 10.2147/JMDH.S302013. eCollection 2021.

    PMID: 33854327BACKGROUND
  • Slevin P, Kessie T, Cullen J, Butler MW, Donnelly SC, Caulfield B. A qualitative study of chronic obstructive pulmonary disease patient perceptions of the barriers and facilitators to adopting digital health technology. Digit Health. 2019 Aug 25;5:2055207619871729. doi: 10.1177/2055207619871729. eCollection 2019 Jan-Dec.

    PMID: 31489206BACKGROUND
  • Slevin P, Kessie T, Cullen J, Butler MW, Donnelly SC, Caulfield B. Exploring the potential benefits of digital health technology for the management of COPD: a qualitative study of patient perceptions. ERJ Open Res. 2019 May 10;5(2):00239-2018. doi: 10.1183/23120541.00239-2018. eCollection 2019 Apr.

    PMID: 31111039BACKGROUND
  • Shaw G, Whelan ME, Armitage LC, Roberts N, Farmer AJ. Are COPD self-management mobile applications effective? A systematic review and meta-analysis. NPJ Prim Care Respir Med. 2020 Apr 1;30(1):11. doi: 10.1038/s41533-020-0167-1.

    PMID: 32238810BACKGROUND
  • McCabe C, McCann M, Brady AM. Computer and mobile technology interventions for self-management in chronic obstructive pulmonary disease. Cochrane Database Syst Rev. 2017 May 23;5(5):CD011425. doi: 10.1002/14651858.CD011425.pub2.

    PMID: 28535331BACKGROUND
  • Ding H, Fatehi F, Maiorana A, Bashi N, Hu W, Edwards I. Digital health for COPD care: the current state of play. J Thorac Dis. 2019 Oct;11(Suppl 17):S2210-S2220. doi: 10.21037/jtd.2019.10.17.

    PMID: 31737348BACKGROUND
  • Rogliani P, Ora J, Puxeddu E, Matera MG, Cazzola M. Adherence to COPD treatment: Myth and reality. Respir Med. 2017 Aug;129:117-123. doi: 10.1016/j.rmed.2017.06.007. Epub 2017 Jun 13.

    PMID: 28732818BACKGROUND
  • Miravitlles M, Ribera A. Understanding the impact of symptoms on the burden of COPD. Respir Res. 2017 Apr 21;18(1):67. doi: 10.1186/s12931-017-0548-3.

    PMID: 28431503BACKGROUND

MeSH Terms

Conditions

Pulmonary Disease, Chronic Obstructive

Condition Hierarchy (Ancestors)

Lung Diseases, ObstructiveLung DiseasesRespiratory Tract DiseasesChronic DiseaseDisease AttributesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Agnes YK Lai, PhD

    Hong Kong Metropolitan University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Agnes YK Lai, PhD

CONTACT

George OC Cheung, MSc

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
SUPPORTIVE CARE
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

March 11, 2025

First Posted

March 21, 2025

Study Start

March 19, 2025

Primary Completion (Estimated)

December 31, 2027

Study Completion (Estimated)

March 31, 2028

Last Updated

August 22, 2025

Record last verified: 2025-08

Data Sharing

IPD Sharing
Will not share

Locations