Effectiveness of a Chat Bot for Smoking Cessation: a Pragmatic Trial in Primary Care.
NCT ID: NCT03445507
Last Updated: 2021-02-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
542 participants
INTERVENTIONAL
2018-10-07
2020-12-31
Brief Summary
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Half of participants(control group) will receive usual care by their usual general practitioners and nurses, and the other half (intervention group) will use an evidence-based chat bot specifically designed to help people quit smoking.
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Detailed Description
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On the other hand,new kinds of information tecnology give a chance to intervene with less costs and more specific tools. Actually, there are a lot of mobile apps and other devices designed to help people to improve their health in many ways, but without scientific evidence of their effects.
This is a pragmatic, randomised, controled and multicentric clinical trial that tries to evaluate in general population the effectiveness of a chat bot that incorporates evidence based interventions and interacts by a text application instaled in patients mobile phone (intervention group).
Investigators have decided to compare with usual care delivered by the usual general practisioners and nurses of Spanish Public Health Centres, because this interventions have shown their effectiveness (control group).
Efficiency and impact on quality of life will also be compared on both groups.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
NONE
Study Groups
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Intervention
Use of an evidence-based chat bot for smoking cessation
Chat bot
Patients in intervention arm will use an evidence-based chat bot as an aid for smoking cessation
Control
Usual care (Madrid Health System Portfolio).
Usual care
Usual care given by their usual general practitioners and nurses of primary care health centres, as defined in Public Health System Portfolio.
Interventions
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Chat bot
Patients in intervention arm will use an evidence-based chat bot as an aid for smoking cessation
Usual care
Usual care given by their usual general practitioners and nurses of primary care health centres, as defined in Public Health System Portfolio.
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Smoked more than one cigarette per day last month.
* Accepts help to quit smoking next month.
* Owns a mobile phone with the ability to install a messaging application.
* Does not anticipate changing address in the next 6 months.
* Understands spoken and written spanish language.
* Accepts to participate and signs the informed consent.
Exclusion Criteria
* Addiction to other substances.
* Participation in another cessation program or other clinical trial during the study period.
18 Years
ALL
Yes
Sponsors
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Instituto de Salud Carlos III
OTHER_GOV
Gerencia de Atención Primaria, Madrid
OTHER_GOV
Responsible Party
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Eduardo Olano
Phd in Medicine. Family and Community Medicine Specialist
Principal Investigators
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José F Ávila-Tomás, Doctor
Role: STUDY_CHAIR
GAP Madrid
Francisco J Ayesta-Ayesta, Doctor
Role: STUDY_CHAIR
Cantabria University
Francisco J Martínez-Suverbiola, Doctor
Role: STUDY_CHAIR
GAP Madrid
Locations
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Eduardo Olano-Espinosa
Alcorcón, Madrid, Spain
Countries
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References
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Olano-Espinosa E, Avila-Tomas JF, Minue-Lorenzo C, Matilla-Pardo B, Serrano Serrano ME, Martinez-Suberviola FJ, Gil-Conesa M, Del Cura-Gonzalez I; Dejal@ Group. Effectiveness of a Conversational Chatbot (Dejal@bot) for the Adult Population to Quit Smoking: Pragmatic, Multicenter, Controlled, Randomized Clinical Trial in Primary Care. JMIR Mhealth Uhealth. 2022 Jun 27;10(6):e34273. doi: 10.2196/34273.
Avila-Tomas JF, Olano-Espinosa E, Minue-Lorenzo C, Martinez-Suberbiola FJ, Matilla-Pardo B, Serrano-Serrano ME, Escortell-Mayor E; Group Dej@lo. Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@). BMC Med Inform Decis Mak. 2019 Dec 3;19(1):249. doi: 10.1186/s12911-019-0972-z.
Other Identifiers
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P17/01942
Identifier Type: -
Identifier Source: org_study_id
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