A Health Recommeder System to Tailor Message Preferences in a Smoking Cessation Programme
NCT ID: NCT03206619
Last Updated: 2019-06-25
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
120 participants
OBSERVATIONAL
2016-09-30
2018-10-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Social, Local and Mobile
Patients having smoking cessation standard care (behavioral and pharmacological therapy) and using the SoLoMo mobile app that sends them motivational messages.
Social, Local and Mobile
Patients in a smoking cessation program will use a mobile application to receive messages and rate them from their smartphones. The messages patient will receive belong to one of the following five topics: general motivation, diet tips, physical exercise tips, personal performance, and the benefits of being a non-smoker. For each one of these topics, there will be a pool of 150 different messages with tailored information for the patient. Topics and messages were approved by a smoking cessation psychologist and a pulmonologist. The selection of the time the messages have to be sent, and the message topic is selected by an health recommender system algorithm based on the patients' user profile (demographic information, message rating information, and app interaction information).
Interventions
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Social, Local and Mobile
Patients in a smoking cessation program will use a mobile application to receive messages and rate them from their smartphones. The messages patient will receive belong to one of the following five topics: general motivation, diet tips, physical exercise tips, personal performance, and the benefits of being a non-smoker. For each one of these topics, there will be a pool of 150 different messages with tailored information for the patient. Topics and messages were approved by a smoking cessation psychologist and a pulmonologist. The selection of the time the messages have to be sent, and the message topic is selected by an health recommender system algorithm based on the patients' user profile (demographic information, message rating information, and app interaction information).
Other Intervention Names
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Eligibility Criteria
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Inclusion Criteria
* Patients must be willing to start the treatment to quit smoking
* Patients must own an Android smartphone and be able to interact with it
* Patients must be willing to and install the "Libre de Humos" smoking cessation app recommended by the doctor in the SmokeFreeBrain study.
* Patients must sign an informed consent
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Hospitales Universitarios Virgen del Rocío
OTHER
Salumedia Tecnologías
UNKNOWN
Aristotle University Of Thessaloniki
OTHER
Northern Greece Neurofeedback Center
UNKNOWN
University of Seville
OTHER
Responsible Party
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Santiago Hors-Fraile
Principal Investigator
Locations
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Virgen del Rocío University Hospital
Seville, , Spain
Countries
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References
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Hors-Fraile S, Schneider F, Fernandez-Luque L, Luna-Perejon F, Civit A, Spachos D, Bamidis P, de Vries H. Tailoring motivational health messages for smoking cessation using an mHealth recommender system integrated with an electronic health record: a study protocol. BMC Public Health. 2018 Jun 5;18(1):698. doi: 10.1186/s12889-018-5612-5.
Related Links
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Official website of the original project
Other Identifiers
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H2020-681120
Identifier Type: -
Identifier Source: org_study_id
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