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ABSTRACT: Background
Smoking is one of the most avoidable health risk factors, and yet the quitting success rates are low. The usage of tailored health messages to support quitting has been proved to increase quitting success rates. Technology can provide convenient means to deliver tailored health messages. Health recommender systems are information-filtering algorithms that can choose the most relevant health-related items-for instance, motivational messages aimed at smoking cessation-for each user based on his or her profile. The goals of this study are to analyze the perceived quality of an mHealth recommender system aimed at smoking cessation, and to assess the level of engagement with the messages delivered to users via this medium.Methods
Patients participating in a smoking ce
SUBMITTER: Hors-Fraile S
PROVIDER: S-EPMC5989385 | biostudies-literature | 2018 Jun
REPOSITORIES: biostudies-literature