Chat-based instant messaging support integrated with brief interventions for smoking cessation: a community-based, pragmatic, cluster-randomised controlled trial.

BACKGROUND: Mobile instant messaging apps offer a modern way to deliver personalised smoking cessation support through real-time, interactive messaging (chat). In this trial, we aimed to assess the effect of chat-based instant messaging support integrated with brief interventions on smoking cessation in a cohort of smokers proactively recruited from the community. METHODS: In this two-arm, pragmatic, cluster-randomised controlled trial, we recruited participants aged 18 years or older who smoked at least one cigarette per day from 68 community sites in Hong Kong, China. Community sites were computer randomised (1:1) to the intervention group, in which participants received chat-based instant messaging support for 3 months, offers of referral to external smoking cessation services, and brief advice, or to the control group, in which participants received brief advice alone. The chat-based intervention included personalised behavioural support and promoted use of smoking cessation services. Masking of participants and the research team was not possible, but outcome assessors were masked to group assignment. The primary outcome was smoking abstinence validated by exhaled carbon monoxide concentrations lower than 4 parts per million and salivary cotinine concentrations lower than 10 ng/mL at 6 months after treatment initiation (3 months after the end of treatment). The primary analysis was by intention to treat and accounted for potential clustering effect by use of generalised estimating equation models. This trial is registered with ClinicalTrials.gov, number NCT03182790. FINDINGS: Between June 18 and Sept 30, 2017, 1185 participants were randomly assigned to either the intervention (n=591) or control (n=594) groups. At the 6-month follow-up (77% of participants retained), the proportion of validated abstinence was significantly higher in the intervention group than in the control group (48 [8%] of 591 in intervention vs 30 [5%] of 594 in control group, unadjusted odds ratio 1·68, 95% CI 1·03-2·74; p=0·040). Engagement in the chat-based support in the intervention group was low (17%), but strongly predicted abstinence with or without use of external smoking cessation services. INTERPRETATION: Chat-based instant messaging support integrated with brief cessation interventions increased smoking abstinence and could complement existing smoking cessation services. FUNDING: Hong Kong Council on Smoking and Health.

Does Electronic Cigarette Use Predict Abstinence from Conventional Cigarettes among Smokers in Hong Kong?

OBJECTIVES: To investigate the effects of ever use of electronic cigarettes (ECs), many of which lack nicotine, on abstinence from convention cigarettes among Hong Kong adult smokers. METHODS: We collected data from 956 daily smokers in 2014-2015 regarding ever EC use and smoking behaviors at baseline, any and past 30-day EC use at the 3-month follow-up. Outcomes measured at 6 months included past 7-day point prevalence abstinence (PPA), biochemically validated quitting, smoking reduction (≥50% from baseline) and cessation attempt. Logistic regression yielded adjusted odds ratios (AOR) for quitting in relation to EC use, adjusting for socio-demographic characteristics and smoking profile. Complete case, missing observation as smoking and propensity score analyses were conducted. RESULTS: By complete case, ever EC use at baseline did not predict self-reported PPA (AOR 0.99, 95% CI 0.57-1.73), biochemically validated quitting (AOR 1.22, 95% CI 0.64-2.34), cessation attempt (AOR 0.74, 95% CI 0.48-1.14), or smoking reduction (AOR 0.89, 95% CI 0.54-1.47). EC use during the first 3 months did not predict quitting (AOR 1.02, 95% CI 0.22-4.71). Similar results were observed for missing observations as smoking and propensity score analyses. CONCLUSIONS: Any use of ECs, many of which lack nicotine, did not predict smoking abstinence among Hong Kong adult smokers.

Brief Advice on Smoking Reduction Versus Abrupt Quitting for Smoking Cessation in Chinese Smokers: A Cluster Randomized Controlled Trial.

AIMS: To compare the efficacy of brief advice about cut-down-to-quit (CDTQ) with that of brief advice about quit immediately (QI), as delivered by trained volunteers, without the use of pharmacological therapy, to outreach-recruited Chinese smokers in Hong Kong who intend to quit smoking. METHODS: Smokers (N = 1077) who enrolled in the Quit and Win Contest 2014 and intended to quit or reduce smoking were randomized in participation sessions to CDTQ (n = 559) and QI (n = 518) groups. Subjects in the CDTQ group received brief advice and a card about smoking reduction. Subjects in the QI group received brief advice and a leaflet about quitting smoking. All received a smoking cessation booklet and corresponding CDTQ or QI brief telephone advice at intervals of 1 week, 1 month, or 2 months. The primary outcomes were self-reported 7-day point prevalence abstinence (PPA) at the 3-month and 6-month follow-ups. The secondary outcomes included abstinence rate as validated by biochemical tests, smoking reduction (≥50% reduction from baseline), and quit attempt (QA). The outcome assessors were blinded as to group assignment. RESULTS: By intention to treat, the QI and CDTQ groups showed similar results as regards (i) self-reported PPA (10.6% [95% CI 8.1%-13.6%] vs. 9.1% [95% CI 6.9%-11.8%]), (ii) validated abstinence rate (5.6% [3.8%-7.9%] vs. 5.4% [3.6%-7.6%]), and (iii) QA rate (59.2% [53.5%-64.8%] vs. 54.1% [48.7%-59.3%]) at 6-month. However, the CDTQ group showed a significantly higher reduction rate than the QI group (20.9% [CI 17.6%-24.5%] vs. 14.5% [11.6%-17.8%]). The overall intervention adherence was suboptimal (45.4%), particularly in the CDTQ group (42.3%). Self-efficacy as regards quitting of smoking was similar between the groups at 6 months. CONCLUSIONS: Brief advice on CDTQ and QI had similar short-term PPAs. Longer-term follow-up is needed to understand the latent effect of smoking reduction on abstinence. IMPLICATIONS: This is the first randomized controlled trial in ethnic Chinese smokers to evaluate the relative efficacy of brief advice on (a) CDTQ and (b) QI as regards quitting. The two interventions showed similar effects as regards PPA. The findings suggested that brief advice on CDTQ may be as effective as brief advice on QI in smokers recruited in community settings.

Electronic cigarette awareness and use among adults in Hong Kong.

INTRODUCTION: Electronic cigarettes (e-cigarettes) have gained popularity rapidly in the Western world but data in the East are scarce. We examined the awareness and ever use of e-cigarettes, and reasons for e-cigarette use in a probability sample of adults in Hong Kong. METHODS: Cross-sectional data were collected in 2014 from Chinese adults aged 15-65 in Hong Kong (819 never smokers, 800 former smokers, 800 current smokers) via computer-assisted telephone interviews (response rate: 73.8%). Analysis was limited to a subset of 809 respondents (i.e., 357 never smokers, 269 former smokers, 183 current smokers) who were randomly selected to answer questions on e-cigarettes. Chi-square analyses compared e-cigarette awareness and ever use by gender, age, education, and cigarette smoking status. Multivariable logistic regression examined if e-cigarette awareness was associated with demographic variables and cigarette smoking status. RESULTS: 75.4% of adults had heard of e-cigarettes, and 2.3% reported having used e-cigarettes. Greater awareness was associated with male gender and higher education. Ever use of e-cigarettes was higher among males (3.6%, p=.03), younger adults (aged 15-29, 5.2%, p=.002), and current cigarette smokers (11.8%, p<.001). Common reasons for using e-cigarettes were curiosity (47.4%), the stylish product design (25.8%), and quitting smoking (13.6%). CONCLUSIONS: Awareness of e-cigarettes was widespread in Hong Kong. Although the use of e-cigarettes was low, its relation with younger age and current smoking is of concern. Health surveillance of e-cigarette use is needed. Interventions should target young adults and cigarette smokers, and address the marketing messages, especially the effect of e-cigarettes on smoking cessation.