Providing science-based evidence on the effectiveness of clinical interventions via information technologies, without the physical presence of a professional, is essential. Results: First expected results in January 2020.
A logistic regression model will be built to adjust for confounding factors. Difference between groups in continuous abstinence rates at 6 months with their corresponding 95% confidence interval. Control group: Usual treatment (according to the protocol for tobacco cessation by the Madrid Regional Health Service Main variable: Continuous nicotine withdrawal with chemical validation (carbon monoxide in exhaled air). Intervention group: use of a chat-bot with evidence-based contents to help quit smoking. N = 460 smokers (230 per arm) who will be recruited prior to randomization. Participants: Smokers > 18 years of age who attend a healthcare center and accept help to quit smoking in the following month. Setting: Healthcare centers in the public healthcare system of the Community of Madrid (Madrid Regional Health Service). Methodsĭesign: Randomized, controlled, multicentric, pragmatic clinical trial, with a 6-month follow-up. Thus, the purpose of this study is to assess the effectiveness of an intervention that helps people cease smoking and increase their nicotine abstinence rates in the long term via a chat-bot, compared to usual practice, utilizing a chemical validation at 6 months. The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications technologies are the main factors motivating this project.
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