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BACKGROUND AND AIMS: Cytisine (also known as cytisinicline) is a low-cost partial agonist of nicotinic acetylcholine receptors used to assist tobacco cessation. We aimed to review the effectiveness of cytisine for tobacco cessation and the effects of dose and co-use of behavioural or other pharmacological interventions on cessation outcomes. METHODS: We searched seven databases, Google Scholar, and reference lists of included publications for randomised controlled trials investigating use of cytisine as a tobacco cessation aid. Studies were eligible if participants were ≥15 years old and used tobacco upon study enrolment. We conducted four random effects meta-analyses and sensitivity analyses with fixed effects models. We used the Cochrane risk-of-bias tool for randomised trials version 2 to assess risk of bias in included studies, with adjustments recommended by the Cochrane Tobacco Addiction Group. RESULTS: Participants using cytisine were significantly more likely to quit tobacco than participants who received placebo/no intervention/usual care (risk ratio [RR] = 2.65, 95% confidence interval [CI] = 1.50-4.67, 6 trials, 5194 participants) or nicotine replacement therapy (RR = 1.36, 95% CI = 1.06-1.73, p = 0.0152, 2 trials, 1511 participants). The difference in cessation rates among participants receiving cytisine versus varenicline was not statistically significant (RR = 0.96, 95% CI 0.63-1.45, P = 0.8464, 3 trials, 2508 participants). Two trials examined longer versus shorter treatment duration, finding higher abstinence rates with longer treatment (RR = 1.29, 95% CI = 1.02-1.63, 2 trials, 1009 participants). The differences in the number of adverse events reported by participants who received cytisine versus placebo (RR = 1.19, 95% CI = 0.99-1.41, P = 0.0624; 6 trials; 4578 participants) or cytisine versus varenicline (RR = 1.37, 95% CI = 0.57-3.33, P = 0.4835; 2 trials; 1345 participants) were not statistically significant. Most adverse events were mild (e.g. abnormal dreams, nausea, headaches). CONCLUSIONS: Cytisine is an effective aid for tobacco cessation and appears to be more effective for tobacco cessation than placebo, no intervention, usual care and nicotine replacement therapy.
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OBJECTIVE: This scoping review synthesises Australian evidence on associations between tobacco and vape retailer density/proximity and various population measures and smoking behaviour to identify research gaps and inform future policy and strategies. DATA SOURCES: Following Joanna Briggs Institute methodology, relevant studies published in English since 2003 were identified via searches of eight databases in March and August 2023. STUDY SELECTION: Two reviewers independently completed screening procedures. Eligible studies were from Australia and described associations between tobacco or vape retailer density/proximity and adult or youth smoking/vaping prevalence or behaviours, neighbourhood socioeconomic status, geographic location, school locations and/or Indigenous status. DATA EXTRACTION: Results are reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews checklist. DATA SYNTHESIS: Of 794 publications screened, 12 studies from 6 Australian states were included. Six studies from five states reported statistically significant associations between neighbourhood-level socioeconomic disadvantage and tobacco retailer density, yet only two studies from two states found a significant relationship between retailer density and adult smoking prevalence. Increasing retailer density was consistently significantly associated with increasing geographical remoteness in three states. No studies explored associations with tobacco retailer proximity or vape retailer density/proximity. CONCLUSIONS: Despite a moderate number of studies overall, state-level evidence is limited, and unknown for Australian territories. Evidence from five Australian states reflects the international evidence that increasing retailer density is significantly associated with increasing socioeconomic disadvantage and remoteness, supporting the need for tobacco supply-based policies. Further research is required to understand the impact of retailer density and adult and youth smoking prevalence in Australia.
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Telephone-based services are a practical and effective behavioral support for smoking cessation, yet no in-depth analyses of this counseling have been conducted. Understanding the general content of Quitline conversations can help to improve current practices and may inform future interventions. Therefore, we aimed to independently explore conversation themes, topics, and client questions during Quitline counseling sessions with Quitline clients in Queensland, Australia. A purposive sample of 30 recorded counseling sessions, completed between January and March 2019, were de-identified, transcribed, and thematically analyzed. Seven themes, encompassing 35 topics, were derived from 26 initial calls and four follow-up calls: (1) Client details and building rapport; (2) Client history and motivation to quit; (3) Pharmacotherapy; (4) Behavioral aspects of quitting and relationship with smoking; (5) Understanding nicotine dependence and other important considerations; (6) Additional support and smoking cessation resources; and (7) Planning, goal setting and follow-up. Three themes emerged from 18 client questions including (1) Pharmacotherapy safety and contraindications; (2) Pharmacotherapy instructions and mechanism of action; and (3) Physiology of nicotine dependence. This is the first qualitative analysis of the content of Quitline counseling sessions in Australia. Counselors collect and deliver a breadth of information to provide tailored, evidence-based health care, while building rapport and trust. Findings may be translatable into personalized self-help interventions that are more accessible or appealing to people reluctant to contact Quitline. Harnessing educational opportunities regarding pharmacotherapy adherence and misconceptions can improve client confidence in the product and smoking cessation outcomes. Further research will map conversations to motivational interviewing and behavior change techniques.
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Smoking Cessation , Tobacco Use Disorder , Humans , Smoking Cessation/methods , Queensland , Counseling/methods , AustraliaABSTRACT
Background: Conversational artificial intelligence (chatbots and dialogue systems) is an emerging tool for tobacco cessation that has the potential to emulate personalised human support and increase engagement. We aimed to determine the effect of conversational artificial intelligence interventions with or without standard tobacco cessation interventions on tobacco cessation outcomes among adults who smoke, compared to no intervention, placebo intervention or an active comparator. Methods: A comprehensive search of six databases was completed in June 2022. Eligible studies included randomised controlled trials published since 2005. The primary outcome was sustained tobacco abstinence, self-reported and/or biochemically validated, for at least 6 months. Secondary outcomes included point-prevalence abstinence and sustained abstinence of less than 6 months. Two authors independently extracted data on cessation outcomes and completed the risk of bias assessment. Random effects meta-analysis was conducted. Results: From 819 studies, five randomised controlled trials met inclusion criteria (combined sample size n = 58,796). All studies differed in setting, methodology, intervention, participants and end-points. Interventions included chatbots embedded in multi- and single-component smartphone apps (n = 3), a social media-based (n = 1) chatbot, and an internet-based avatar (n = 1). Random effects meta-analysis of three studies found participants in the conversational artificial intelligence enhanced intervention were significantly more likely to quit smoking at 6-month follow-up compared to control group participants (RR = 1.29, 95% CI (1.13, 1.46), p < 0.001). Loss to follow up was generally high. Risk of bias was high overall. Conclusion: We found limited but promising evidence on the effectiveness of conversational artificial intelligence interventions for tobacco cessation. Although all studies found benefits from conversational artificial intelligence interventions, results should be interpreted with caution due to high heterogeneity. Given the rapid evolution and potential of artificial intelligence interventions, further well-designed randomised controlled trials following standardised reporting guidelines are warranted in this emerging area.
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INTRODUCTION: Chatbots emulate human-like interactions and may usefully provide on-demand access to tailored smoking cessation support. We have developed a prototype smartphone application-based smoking cessation chatbot, named Quin, grounded in real-world, evidence- and theory-based smoking cessation counselling sessions. METHOD: Conversation topics and interactions in Quitline counselling sessions (N=30; 18 hours) were characterised using thematic, content, and proponent analyses of transcripts. Quin was created by programming this content using a chatbot framework which interacts with users via speech-to-text. Reiterative changes and additions were made to the conversation structure and dialogue following regular consultation with a multidisciplinary team from relevant fields, and from evidence-based resources. RESULTS: Chatbot conversations were encoded into initial and scheduled follow-up 'appointments'. Collection of demographic information, and smoking and quit history, informed tailored discussion about pharmacotherapy preferences, behavioural strategies, and social and professional support to form a quit plan. Follow-up appointments were programmed to check in on user progress, review elements of the quit plan, answer questions and solve issues. Quin was programmed to include teachable moments and educational content to enhance health literacy and informed decision-making. Personal agency is encouraged through exploration and self-reflection of users' personal behaviours, experiences, preferences and ideas. CONCLUSION: Quin's successful development represents a movement towards improving access to personalised smoking cessation support. Qualitative foundations of Quin provide greater insight into the smoking cessation counselling relationship and enhances the conversational ability of the technology. The prototype chatbot will be refined through beta-testing with end-users and stakeholders prior to evaluation in a clinical trial. IMPLICATIONS: Our novel study provides transparent description of the translation of qualitative evidence of real-world smoking cessation counselling sessions into the design and development of a prototype smoking cessation chatbot. The successful iterative development of Quin not only embodies the science and art of health promotion, but also a step-forward in expanding the reach of tailored, evidence based, in-pocket support for people who want to quit smoking.
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INTRODUCTION: Mobile smoking cessation (mCessation) apps have the potential to complement and enhance existing interventions, but many are of low quality. Exploring app reviews can provide a broader understanding of user experiences and engagement, to enhance the quality, acceptability, and effectiveness of future developments. METHODS: Publicly available user reviews and ratings of smoking cessation apps were mined from Google Play and the App Store via a targeted two-stage search strategy. English language smoking cessation apps with at least 20 consumer reviews between 2011 and 2020 were included. User reviews were thematically analyzed using Braun and Clarke's framework. Apps were independently scored using the Mobile Apps Rating Scale (MARS) and compared to average user star ratings. RESULTS: Forty-eight versions of 42 apps, encompassing 1414 associated reviews, met eligibility criteria. Inductive coding of reviews produced 1084 coding references including reviews coded across multiple nodes. Themes generated included: (1) supportive characteristics/tools; (2) useability; (3) influence on smoking behavior; (4) benefits of quitting; and (5) role as a supplementary tool for quitting. The mean MARS score of 36 free and accessible apps was 3.10 (SD 0.71) with mean scores ranging from 2.00 to 4.47. An inverse relationship between MARS scores and average user star ratings was observed. CONCLUSIONS: App personalization, relationality, functionality, and credibility were important to users, and should be considered as key design components for future apps. Differences between user star ratings and MARS scores may illustrate competing priorities of consumers and researchers, and the importance of a codesign development method. IMPLICATIONS: This is the first study to use unsolicited user reviews from a large population to understand the general mCessation user experience in relation to making a quit attempt. Our findings highlight specific features favored and disliked by users, including their influence on engagement, and supports previous findings that mCessation applications need to be highly tailorable, functional, credible, and supportive. We recommend a consumer-driven, co-design approach for future mCessation app developments to optimize user acceptability and engagement.
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Mobile Applications , Smoking Cessation , Data Collection , Delivery of Health Care , Humans , SmokingABSTRACT
ISSUE ADDRESSED: Dental practitioners have an important opportunity to promote smoking cessation. This study aimed to determine how many smokers attended West Moreton Oral Health Service (WMOHS), completion rates for the standardised Smoking Cessation Pathway, and smoking cessation practices, confidence levels and attitudes of dental practitioners in WMOHS. METHODS: A mixed-methods approach collected clinical and demographic data from a retrospective audit of WMOHS reports from 1 August 2017 to 31 July 2019 and a cross-sectional survey of WMOHS dental practitioners. Logistic regression models determined factors associated with smoking status and delivery of the Pathway. RESULTS: Over 24 months, 14,919 courses of care (COC) were completed. Twenty-five percent of patients identified as current smokers. The Pathway was delivered in 54% (n = 1999) of smokers' COC, which was significantly associated with patient age (aOR 0.99 [CI 0.99, 0.99; P < .001]), Indigenous status (aOR 1.47 [CI 1.05, 2.08; P =.02]) and high socio-economic status (aOR 1.41 [CI 1.06, 1.88; P =.02]). Practitioners identified lack of time and training as the main barriers to Pathway completion. CONCLUSIONS: High-risk populations for tobacco use are frequently utilising WMOHS, however not all patients who smoke received smoking cessation support. Understanding and addressing barriers to smoking cessation promotion in oral health care settings may improve general and oral health outcomes for patients. SO WHAT?: Targeted training and utilisation of team-based models of care may better enhance delivery and uptake of the Pathway within the public dental setting, thus improving services to a high-need population and reducing smoking rates in priority populations.
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Nicotiana , Smoking Cessation , Cross-Sectional Studies , Delivery of Health Care , Dental Care , Dentists , Humans , Professional Role , Retrospective StudiesABSTRACT
PURPOSE: To investigate whether publishing research is an important aspect of medical careers, and how it varies by specialty and rural or metropolitan location. METHODS: Annual national panel survey (postal or online) of Australian doctors between 2008 and 2016, with aggregated participants including 11 263 junior doctors not enrolled in a specialty ('pre-registrars'), 9745 junior doctors enrolled as specialist trainees, non-general practitioner (GP) ('registrars') and 35 983 qualified as specialist consultants, non-GP ('consultants'). Main outcome was in agreement that 'research publications are important to progress my training' (junior doctors) or 'research publications are important to my career' (consultants). RESULTS: Overall, the highest proportion agreeing were registrars (65%) and pre-registrars (60%), compared with consultants (36%). After accounting for key covariates, rural location was significantly associated with lower importance of publishing research for pre-registrars (OR 0.69, 95% CI 0.61 to 0.78) and consultants (OR 0.69, 95% CI 0.63 to 0.76), but not for registrars. Compared with anaesthetics, research importance was significantly higher for pre-registrars pursuing surgery (OR 4.46, 95% CI 3.57 to 5.57) and obstetrics/gynaecology careers, for registrars enrolled in surgery (OR 2.97, 95% CI 2.34 to 3.75) and internal medicine training, and consultants of internal medicine (OR 1.84, 95% CI 1.63 to 2.08), pathology, radiology and paediatrics. CONCLUSIONS: This study provides new quantitative evidence showing that the importance of publishing research is related to medical career stages, and is most important to junior doctors seeking and undertaking different specialty training options. Embedding research requirements more evenly into specialty college selection criteria may stimulate uptake of research. Expansion of rural training pathways should consider capacity building to support increased access to research opportunities in these locations.