Author:
Xie Xiaoyun,Liang Lirong,Nan Yi,Zhang Luge,Xiao Lin
Abstract
Abstract
Background and aims
Tobacco use has posed a tremendous public health problem for China. The Chinese government has taken great efforts to curb the tobacco epidemic. However, the existing smoking cessation services available in China are underused and have some limitations. Our research team intends to develop a smartphone smoking cessation application (SSC APP) and integrate it with the existing smoking cessation services. This study aims to assess the efficacy of the SSC APP developed by our research team through a randomized controlled trial (RCT).
Methods
Current smokers who are motivated to quit within 1 month (n = 1000) will be recruited both online and offline, and all potential participants will register and complete the prescreening assessment online. Participants will be randomly assigned to either the intervention group (receiving the SSC APP and a self-help smoking cessation manual) or the control group (receiving a self-help smoking cessation manual only) using a block randomization method. This study will be a two-arm, single-blind, parallel-group RCT. Participants will be followed up after enrollment through online questionnaires or by phone call. The primary outcome is self-reported 6-month continuous abstinence. The main secondary outcomes include self-reported 7-day point-prevalence abstinence at each follow-up; self-reported 3-month continuous abstinence; reduction in the number of cigarettes smoked per day; and the number of recent quit attempts.
Discussion
If this SSC APP proves to be effective, it could be integrated with the existing smoking cessation services and further facilitate smoking cessation at the population level in China.
Trial registration
Chinese Clinical Trial Registry: ChiCTR2200062097, Registered July 22, 2022.
Funder
Beijing Municipal Health Commission
Tobacco epidemic surveillance and integrated tobacco control intervention project
Publisher
Springer Science and Business Media LLC
Cited by
1 articles.
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1. Medical Statistics in Drug Development and Regulatory Approval;Advances in Bioinformatics and Biomedical Engineering;2024-07-18