Passive Smoking, Secondhand Smoking, Tobacco Smoke Pollution
Conditions
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.
Detailed description
This project is a two-arm, practical-utility randomized controlled trial.The study was designed to enroll 2214 quitters, and maternal cessation of enrollment after completion of the quitter enrollment.After self-reported exposure to secondhand smoke has been tested with a free cotinine urine test and the pregnant woman has signed an informed consent, she invites the smoker who is causing her secondhand smoke to quit, which may include her husband, family, friends, colleagues, neighbors, etc., or the pregnant woman herself. Invited smokers will choose a quit day within two weeks of enrollment, use a cognitive behavioral therapy-based cessation package and online coaching from medical staff, as well as additional digital cessation tools, and receive a 12-week follow-up (smoking/quit status). Enrolled pregnant women will receive general education on maternal and child health management and the dangers of tobacco, and will be encouraged to provide psychological support and encouragement to invited quitters in the mini-program (provided both parties volunteer). The pregnant women will receive a 16-week follow-up (secondhand smoke exposure). At the end of the study, all pregnant women and those who self-report successful cessation will receive a free cotinine test as an objective test of cessation effectiveness.
Interventions
COMBINATION_PRODUCTDigital Smoking Cessation
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.
Sponsors
Sir Run Run Shaw Hospital
Hangzhou Medisol Technology Co.
Peking Union Medical College Hospital
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
SUPPORTIVE_CARE
Masking
SINGLE (Outcomes Assessor)
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
1. Pregnant women's inclusion criteria A. Adult females during gestation and within 42 days after delivery B. I do not smoke, but I self-reported secondhand smoke exposure problems 2. Inclusion criteria for smoking quitters A. Adults over the age of 18 who smoke every day; B. I have a clear intention to quit smoking;
Exclusion criteria
1. Maternal maternal
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Biologically validated subject withdrawal rate | through study completion, an average of 4 months | Urine cotinine concentrations was determined using a cotinine test kit (colloidal gold) at the end of follow-up. |
| Biologically validated maternal environmental tobacco exposure rate | through study completion, an average of 4 months | 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. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Engagement and adherence to digital smoking cessation interventions | through study completion, an average of 4 months | Actual enrollment and enrollment of invited participants in the digital cessation population. Proportion of subjects in the intervention group who completed a digital cessation intervention session. |
| 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 | — |
Countries
China
Outcome results
None listed