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.

Subsidized pharmacological treatment for smoking cessation by the Spanish public health system: A randomized, pragmatic, clinical trial by clusters.

INTRODUCTION: Research has shown that financing drug therapy increases smoking abstinence rates, although most of these studies have been carried out in the private healthcare setting. The aim of this work is to assess the effect of subsidized pharmacological treatment on smoking cessation rates by the Spanish public healthcare system. METHODS: A pragmatic, randomized, clinical trial was performed by clusters. Randomization unit was the primary healthcare center and the analysis unit was the patient. Smokers consuming ≥10 cigarettes/day were randomly assigned to an intervention group that received financed pharmacological treatment or to a control group that followed usual care. The main outcome was self-reported or CO-confirmed continuous abstinence at 12 months. The main outcome, continuous abstinence rates (%), were compared between groups at 12 months post-intervention. A model was adjusted using mixed-effect logistic regression. RESULTS: A total of 1154 patients were included from 23 healthcare centers. In the intention-to-treat analysis, self-reported abstinence after 12 months in the control and intervention groups, respectively, was 9.6% (37/387) and 15.4% (118/767) (gender-adjusted OR=1.75; 95% CI: 1.1-2.8); for CO-confirmed abstinence the corresponding values were 3.1% (12/387) and 6.4% (49/767) (gender-adjusted OR=1.72; 95% CI: 0.7-4.0). Pharmacological treatment use was 35.1% (136/387) in the control group, and 58.3% (447/767) in the intervention group (adjusted OR=4.25; 95% CI: 1.8-9.9). CONCLUSIONS: Subsidizing pharmacological treatment for smoking cessation increases self-reported or CO-confirmed abstinence rates under realistic conditions in the primary care setting of the Spanish public health system.