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Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@)

Avila-Tomas, J F ; Olano-Espinosa, E ; Minué-Lorenzo, C ; Martinez-Suberbiola, F J ; Matilla-Pardo, B ; Serrano-Serrano, M E ; Escortell-Mayor, E

BMC medical informatics and decision making, 2019-12-03, Vol.19 (1), p.249-10 [Peer Reviewed Journal]

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  • Title:
    Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@)
  • Author: Avila-Tomas, J F ; Olano-Espinosa, E ; Minué-Lorenzo, C ; Martinez-Suberbiola, F J ; Matilla-Pardo, B ; Serrano-Serrano, M E ; Escortell-Mayor, E
  • Subjects: Smoking - therapy ; Artificial Intelligence ; Humans ; Male ; Smoking Cessation - methods ; Spain ; Mobile Applications ; Telemedicine - methods ; Adult ; Female ; Primary Health Care ; Software ; Cell Phone ; Clinical trials ; Smoking cessation programs ; Usage ; Evidence-based medicine ; Cell phone use ; Primary care ; Dialog systems ; Tobacco cessation ; Chat-bot ; Smoking
  • Is Part Of: BMC medical informatics and decision making, 2019-12-03, Vol.19 (1), p.249-10
  • Description: 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. 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. Design: Randomized, controlled, multicentric, pragmatic clinical trial, with a 6-month follow-up. Healthcare centers in the public healthcare system of the Community of Madrid (Madrid Regional Health Service). Smokers > 18 years of age who attend a healthcare center and accept help to quit smoking in the following month. N = 460 smokers (230 per arm) who will be recruited prior to randomization. Intervention group: use of a chat-bot with evidence-based contents to help quit smoking. 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). Intention-to-treat analysis. Difference between groups in continuous abstinence rates at 6 months with their corresponding 95% confidence interval. A logistic regression model will be built to adjust for confounding factors. First expected results in January 2020. Providing science-based evidence on the effectiveness of clinical interventions via information technologies, without the physical presence of a professional, is essential. In addition to being more efficient, the characteristics of these interventions can improve effectiveness, accessibility, and adherence to treatment. From an ethics perspective, this new type of intervention must be backed by scientific evidence to circumvent pressures from the market or particular interests, improve patient safety, and follow the standards of correct practices for clinical interventions. ClinicalTrials.gov, reference number NCT03445507.
  • Publisher: England: BioMed Central Ltd
  • Language: English
  • Identifier: ISSN: 1472-6947
    EISSN: 1472-6947
    DOI: 10.1186/s12911-019-0972-z
    PMID: 31796061
  • Source: Directory of Open Access Journals

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