Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care.

BACKGROUND: Tobacco addiction is the leading cause of preventable morbidity and mortality worldwide, but only 1 in 20 cessation attempts is supervised by a health professional. The potential advantages of mobile health (mHealth) can circumvent this problem and facilitate tobacco cessation interventions for public health systems. Given its easy scalability to large populations and great potential, chatbots are a potentially useful complement to usual treatment. OBJECTIVE: This study aims to assess the effectiveness of an evidence-based intervention to quit smoking via a chatbot in smartphones compared with usual clinical practice in primary care. METHODS: This is a pragmatic, multicenter, controlled, and randomized clinical trial involving 34 primary health care centers within the Madrid Health Service (Spain). Smokers over the age of 18 years who attended on-site consultation and accepted help to quit tobacco were recruited by their doctor or nurse and randomly allocated to receive usual care (control group [CG]) or an evidence-based chatbot intervention (intervention group [IG]). The interventions in both arms were based on the 5A's (ie, Ask, Advise, Assess, Assist, and Arrange) in the US Clinical Practice Guideline, which combines behavioral and pharmacological treatments and is structured in several follow-up appointments. The primary outcome was continuous abstinence from smoking that was biochemically validated after 6 months by the collaborators. The outcome analysis was blinded to allocation of patients, although participants were unblinded to group assignment. An intention-to-treat analysis, using the baseline-observation-carried-forward approach for missing data, and logistic regression models with robust estimators were employed for assessing the primary outcomes. RESULTS: The trial was conducted between October 1, 2018, and March 31, 2019. The sample included 513 patients (242 in the IG and 271 in the CG), with an average age of 49.8 (SD 10.82) years and gender ratio of 59.3% (304/513) women and 40.7% (209/513) men. Of them, 232 patients (45.2%) completed the follow-up, 104/242 (42.9%) in the IG and 128/271 (47.2%) in the CG. In the intention-to-treat analysis, the biochemically validated abstinence rate at 6 months was higher in the IG (63/242, 26%) compared with that in the CG (51/271, 18.8%; odds ratio 1.52, 95% CI 1.00-2.31; P=.05). After adjusting for basal CO-oximetry and bupropion intake, no substantial changes were observed (odds ratio 1.52, 95% CI 0.99-2.33; P=.05; pseudo-R2=0.045). In the IG, 61.2% (148/242) of users accessed the chatbot, average chatbot-patient interaction time was 121 (95% CI 121.1-140.0) minutes, and average number of contacts was 45.56 (SD 36.32). CONCLUSIONS: A treatment including a chatbot for helping with tobacco cessation was more effective than usual clinical practice in primary care. However, this outcome was at the limit of statistical significance, and therefore these promising results must be interpreted with caution. TRIAL REGISTRATION: Clinicaltrials.gov NCT03445507; https://tinyurl.com/mrnfcmtd. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12911-019-0972-z.

Preferences for Tobacco Cessation Information and Support During Covid-19.

OBJECTIVE: To identify how best to provide smoking cessation advice and support during the Covid-19 pandemic. Preferences were assessed in relation to: (i) specific forms of tobacco cessation support (eg, nicotine replacement therapy (NRT) and various counseling formats); (ii) information sources (eg, government officials, doctors); and (iii) channels via which to receive relevant information (eg, television, social media). METHODS: An online survey was administered to adults who smoke tobacco in Australia (n = 604) and the UK (n = 600). Descriptive analyses were conducted to identify levels of interest in cessation support and information provision. Differences in responses according to demographic characteristics and smoking history were assessed. RESULTS: Around half of the respondents were interested in receiving personal counseling and/or participating in a text support program over the next month. By far the most popular delivery mechanism for personal counseling was email. Three-quarters of the sample expressed an interest in receiving free, home-delivered NRT. The most popular information sources nominated by respondents seeking more information about smokers' Covid-related risks were government departments and their doctor/general practitioner. Television and online news sources were the most preferred information dissemination channels. CONCLUSIONS: The substantial levels of interest expressed in accessing various forms of cessation assistance within the next month suggest that Covid-19 may be increasing receptiveness to quitting. The strong interest in free, home-delivered NRT indicates that this may be a useful mechanism for facilitating quit attempts during the pandemic.