Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context

Summary: Background: China has approximately 300 million current smokers, and smoking cessation services are limited. This study aimed to assess the efficacy of a Cognitive Behavioral Theory-based smoking cessation intervention (‘WeChat WeQuit’) via the most popular social media platform in China,...

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Main Authors: Jinsong Tang, Jie Yang, Yi Liu, Xiaocong Liu, Ling Li, Yunkai Sun, Jieyin Jin, Yehong Fang, Zitang Zhou, Yunfei Wang, Yueheng Liu, Wei Chen, Ann McNeill, Brian C. Kelly, Joanna E. Cohen, Yanhui Liao
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:EClinicalMedicine
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Online Access:http://www.sciencedirect.com/science/article/pii/S2589537023001864
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author Jinsong Tang
Jie Yang
Yi Liu
Xiaocong Liu
Ling Li
Yunkai Sun
Jieyin Jin
Yehong Fang
Zitang Zhou
Yunfei Wang
Yueheng Liu
Wei Chen
Ann McNeill
Brian C. Kelly
Joanna E. Cohen
Yanhui Liao
author_facet Jinsong Tang
Jie Yang
Yi Liu
Xiaocong Liu
Ling Li
Yunkai Sun
Jieyin Jin
Yehong Fang
Zitang Zhou
Yunfei Wang
Yueheng Liu
Wei Chen
Ann McNeill
Brian C. Kelly
Joanna E. Cohen
Yanhui Liao
author_sort Jinsong Tang
collection DOAJ
description Summary: Background: China has approximately 300 million current smokers, and smoking cessation services are limited. This study aimed to assess the efficacy of a Cognitive Behavioral Theory-based smoking cessation intervention (‘WeChat WeQuit’) via the most popular social media platform in China, WeChat. Methods: A parallel, single-blind, two-arm randomised controlled trial was conducted via WeChat between March 19, 2020 and November 16, 2022. Chinese-speaking adult smokers (n = 2000) willing to quit within one month were recruited and randomised in a 1:1 ratio. The intervention group (n = 1005) received the ‘WeChat WeQuit’ program and the control group (n = 955) received control messages for 14 weeks (2-week prequit and 12-week postquit). Participants were followed up to 26 weeks after the quit date. The primary outcome was self-reported continuous smoking abstinence rate, biochemically validated at 26 weeks. The secondary outcomes were self-reported 7-day and continuous abstinence rates at 6 months. All analyses were by intention to treat. The trial is registered at ClinicalTrials.gov (NCT03169686). Findings: By intention-to-treat analysis, the biochemically verified 26-week continuous abstinence rate was 11.94% in the intervention group and 2.81% in the control group (OR = 4.68, 95% CI: 3.07–7.13, p < 0.0001). The self-reported 7-day abstinence rates ranged from 39.70% at week 1–32.04% at week 26 for the intervention group and 14.17%–11.86% in the control group for weeks 1 and 26, respectively; the self-reported continuous abstinence rates at weeks 1 and 26 ranged from 34.33% to 24.28% and 9.65% to 6.13% in the intervention group and the control group respectively (all p < 0.0001). Participants with low nicotine dependence or previous quit attempts were more likely to successfully quit smoking. Interpretation: The ‘WeChat WeQuit’ intervention significantly increased smoking abstinence rates at 6 months and should be considered for treatment-seeking smokers in China. Funding: The research is supported by the Natural Science Foundation of Hunan Province (2020JJ4794, YLiao), the K.C. Wong Postdoctoral Fellowship for YLiao to study at King’s College London, and China Medical Board (CMB) Open Competition Program (grant no. 15-226, 22-485, YLiao).
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spelling doaj.art-ee7259ed2c494a6b82cb573e6ae6b7002023-05-19T04:46:20ZengElsevierEClinicalMedicine2589-53702023-06-0160102009Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in contextJinsong Tang0Jie Yang1Yi Liu2Xiaocong Liu3Ling Li4Yunkai Sun5Jieyin Jin6Yehong Fang7Zitang Zhou8Yunfei Wang9Yueheng Liu10Wei Chen11Ann McNeill12Brian C. Kelly13Joanna E. Cohen14Yanhui Liao15Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR ChinaDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, Hunan, PR ChinaDepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR ChinaDepartment of Addictions, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UKDepartment of Sociology &amp; Center for Research on Young People’s Health (CRYPH), Purdue University, 700 W State Street, West Lafayette, IN 47907, USAInstitute for Global Tobacco Control (IGTC), Johns Hopkins Bloomberg School of Public Health, 2213 McElderry St., Fourth Floor, Baltimore, MD 21205, USADepartment of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, PR China; Corresponding author. 3 East Qingchun Road, Hangzhou, Zhejiang 310016, PR China.Summary: Background: China has approximately 300 million current smokers, and smoking cessation services are limited. This study aimed to assess the efficacy of a Cognitive Behavioral Theory-based smoking cessation intervention (‘WeChat WeQuit’) via the most popular social media platform in China, WeChat. Methods: A parallel, single-blind, two-arm randomised controlled trial was conducted via WeChat between March 19, 2020 and November 16, 2022. Chinese-speaking adult smokers (n = 2000) willing to quit within one month were recruited and randomised in a 1:1 ratio. The intervention group (n = 1005) received the ‘WeChat WeQuit’ program and the control group (n = 955) received control messages for 14 weeks (2-week prequit and 12-week postquit). Participants were followed up to 26 weeks after the quit date. The primary outcome was self-reported continuous smoking abstinence rate, biochemically validated at 26 weeks. The secondary outcomes were self-reported 7-day and continuous abstinence rates at 6 months. All analyses were by intention to treat. The trial is registered at ClinicalTrials.gov (NCT03169686). Findings: By intention-to-treat analysis, the biochemically verified 26-week continuous abstinence rate was 11.94% in the intervention group and 2.81% in the control group (OR = 4.68, 95% CI: 3.07–7.13, p < 0.0001). The self-reported 7-day abstinence rates ranged from 39.70% at week 1–32.04% at week 26 for the intervention group and 14.17%–11.86% in the control group for weeks 1 and 26, respectively; the self-reported continuous abstinence rates at weeks 1 and 26 ranged from 34.33% to 24.28% and 9.65% to 6.13% in the intervention group and the control group respectively (all p < 0.0001). Participants with low nicotine dependence or previous quit attempts were more likely to successfully quit smoking. Interpretation: The ‘WeChat WeQuit’ intervention significantly increased smoking abstinence rates at 6 months and should be considered for treatment-seeking smokers in China. Funding: The research is supported by the Natural Science Foundation of Hunan Province (2020JJ4794, YLiao), the K.C. Wong Postdoctoral Fellowship for YLiao to study at King’s College London, and China Medical Board (CMB) Open Competition Program (grant no. 15-226, 22-485, YLiao).http://www.sciencedirect.com/science/article/pii/S2589537023001864Online smoking cessationQuit smoking‘WeChat WeQuit’WeChat-based interventionRandomised controlled trial
spellingShingle Jinsong Tang
Jie Yang
Yi Liu
Xiaocong Liu
Ling Li
Yunkai Sun
Jieyin Jin
Yehong Fang
Zitang Zhou
Yunfei Wang
Yueheng Liu
Wei Chen
Ann McNeill
Brian C. Kelly
Joanna E. Cohen
Yanhui Liao
Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context
EClinicalMedicine
Online smoking cessation
Quit smoking
‘WeChat WeQuit’
WeChat-based intervention
Randomised controlled trial
title Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context
title_full Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context
title_fullStr Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context
title_full_unstemmed Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context
title_short Efficacy of WeChat-based online smoking cessation intervention (‘WeChat WeQuit’) in China: a randomised controlled trialResearch in context
title_sort efficacy of wechat based online smoking cessation intervention wechat wequit in china a randomised controlled trialresearch in context
topic Online smoking cessation
Quit smoking
‘WeChat WeQuit’
WeChat-based intervention
Randomised controlled trial
url http://www.sciencedirect.com/science/article/pii/S2589537023001864
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