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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@)
BACKGROUND: 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 thi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889580/ https://www.ncbi.nlm.nih.gov/pubmed/31796061 http://dx.doi.org/10.1186/s12911-019-0972-z |
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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. |
author_facet | Avila-Tomas, J. F. Olano-Espinosa, E. Minué-Lorenzo, C. Martinez-Suberbiola, F. J. Matilla-Pardo, B. Serrano-Serrano, M. E. Escortell-Mayor, E. |
author_sort | Avila-Tomas, J. F. |
collection | PubMed |
description | BACKGROUND: 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. METHODS: Design: Randomized, controlled, multicentric, pragmatic clinical trial, with a 6-month follow-up. Setting: Healthcare centers in the public healthcare system of the Community of Madrid (Madrid Regional Health Service). Participants: 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. 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). 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. Results: First expected results in January 2020. DISCUSSION: 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. TRIAL REGISTRATION: ClinicalTrials.gov, reference number NCT 03445507. |
format | Online Article Text |
id | pubmed-6889580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68895802019-12-11 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 Med Inform Decis Mak Study Protocol BACKGROUND: 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. METHODS: Design: Randomized, controlled, multicentric, pragmatic clinical trial, with a 6-month follow-up. Setting: Healthcare centers in the public healthcare system of the Community of Madrid (Madrid Regional Health Service). Participants: 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. 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). 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. Results: First expected results in January 2020. DISCUSSION: 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. TRIAL REGISTRATION: ClinicalTrials.gov, reference number NCT 03445507. BioMed Central 2019-12-03 /pmc/articles/PMC6889580/ /pubmed/31796061 http://dx.doi.org/10.1186/s12911-019-0972-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Study Protocol Avila-Tomas, J. F. Olano-Espinosa, E. Minué-Lorenzo, C. Martinez-Suberbiola, F. J. Matilla-Pardo, B. Serrano-Serrano, M. E. Escortell-Mayor, E. Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@) |
title | Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@) |
title_full | Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@) |
title_fullStr | Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@) |
title_full_unstemmed | Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@) |
title_short | Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@) |
title_sort | effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (dejal@) |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889580/ https://www.ncbi.nlm.nih.gov/pubmed/31796061 http://dx.doi.org/10.1186/s12911-019-0972-z |
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