A Joint Real-World Study of Digital Smoking Cessation Interventions
1 other identifier
interventional
2,214
1 country
1
Brief Summary
According to the "China Smoking Health Hazard Report 2020", the total number of smokers in China is estimated to be 350 million, of which 180 million are already addicted. In addition, more than 700 million nonsmokers are exposed to secondhand smoke and become passive smoking victims, among which the family is one of the main places of secondhand smoke exposure, and mothers and children are the most affected group. Passive smoking is a risk factor for spontaneous abortion in pregnant women and an important risk factor for the occurrence of gestational hypertension syndrome and pregnancy complications, and it also affects embryonic development with adverse pregnancy outcomes such as miscarriage, stillbirth, intrauterine growth retardation, preterm birth, immune deficiency, birth defects, and mental retardation. Helping smokers quit is the fundamental solution to reducing secondhand smoke exposure. The accessibility and effectiveness of traditional offline smoking cessation intervention services do not meet the needs of society. With the development of mobile communication technology, digital cessation such as SMS cessation, WeChat cessation, and APP cessation have emerged, which combine clinical cessation guidelines with software technology and present rich product features and interactive design, providing a new solution to expand the accessibility of clinical cessation interventions and address the problem of secondhand smoke exposure.We hope to explore the impact of different digital cessation tools and their combinations on reducing smoking prevalence and maternal tobacco exposure.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Aug 2023
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 31, 2023
CompletedStudy Start
First participant enrolled
August 1, 2023
CompletedFirst Posted
Study publicly available on registry
August 16, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 1, 2024
CompletedAugust 16, 2023
May 1, 2023
10 months
July 31, 2023
August 10, 2023
Conditions
Outcome Measures
Primary Outcomes (2)
Biologically validated subject withdrawal rate
Urine cotinine concentrations was determined using a cotinine test kit (colloidal gold) at the end of follow-up.
through study completion, an average of 4 months
Biologically validated maternal environmental tobacco exposure rate
Urine cotinine concentration was determined using a cotinine test kit (colloidal gold method) at the end of enrollment and follow-up to determine the exposure of second-hand smoke.
through study completion, an average of 4 months
Secondary Outcomes (3)
Engagement and adherence to digital smoking cessation interventions
through study completion, an average of 4 months
Self-reported abstinence rates for subjects at weeks 1, 2, 3, 4, 8, and 12 after quitting date
through study completion, an average of 4 months
Changes in maternal and smoking cessation subjects' respective psychological scale assessments at baseline and at the end of follow-up
through study completion, an average of 4 months
Study Arms (2)
Intervention group
EXPERIMENTALIntensive intervention package "Quit with Love" (1 month) 1. Cognitive-behavioral (CBT) smoking cessation intervention 2. ACT cessation intervention with positive thinking 3. Online group smoking cessation intervention through live streaming "Quit Assistant" intelligent support platform (3 months) 1. Quit smoking punch card toolkit 2. Machine learning algorithm-driven cessation assistance practice service
control group
NO INTERVENTIONReduced functionality of the Love Quit applet Only a simple smoking punch card support function, mainly used to assist subjects to quit smoking on their own and collect follow-up information
Interventions
The core technology of the study is a smoking cessation assistance practice service driven by a machine learning algorithm. The small programs used by the intervention group in this study included smoking cessation service packages based on cognitive behavioral therapy and online guidance from medical staff on staff, and more digital smoking cessation tools.
Eligibility Criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Peking Union Medical College Hospitallead
- Sir Run Run Shaw Hospitalcollaborator
- Hangzhou Medisol Technology Co.collaborator
Study Sites (1)
Department of ob gyn, Peking Union Medical College Hospital
Beijing, Beijing Municipality, 100730, China
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 31, 2023
First Posted
August 16, 2023
Study Start
August 1, 2023
Primary Completion
June 1, 2024
Study Completion
June 1, 2024
Last Updated
August 16, 2023
Record last verified: 2023-05
Data Sharing
- IPD Sharing
- Will not share