Download presentation
Presentation is loading. Please wait.
Published byNickolas Anthony Modified over 6 years ago
1
Personalized prevention: mobile application for smokers
Pr Jean-François ETTER, PhD Institute of Global Health Personalized Health in the Digital Age Geneva, September 22, 2016
2
Stop-tabac mobile app, since 2012, iOS and Android
3
Stop-tabac app for smartphones
Currently 22’000 users per month Expensive to develop, but marginal cost per user = 0 Supported by Tobacco Prevention Fund, Canton GE Available to users at no charge Content: Timely feedback if relapse, craving episode Interactive ‘coach’ with individually-tailored messages Discussion forum, moderated by psychologist and 15 voluntary moderators Randomized trial ongoing, real vs ‘placebo’ app
4
Timely feedback if craving episode, withdrawal symptoms, or relapse
Ecological momentary assessment Craving episode Withdrawal symptoms: mood disturbance Relapse Timely, situational feedback (fact sheets) Encouragement from “The Tribe”
5
Interactive ‘Coach’, individually-tailored feedback
Questionnaire: personal profile - current / former smoker - Quit date (planned or past) - Level of dependence (cigarettes per day) - Use of nicotine medications Individually-tailored feedback report Individually-tailored follow-up messages over several months
6
Discussion forum: “The Tribe”
Every month: - 5’400 messages are published - 51’000 responses to messages - 540’000 accesses to “The Tribe” Response from other users usually in the next 2-3 minutes Support, encouragement - from other users - from the psychologist Moderation: - psychologist (University diploma in tobacco dependence treatment) - team of 15 moderators (volunteers), - from 7 am to 11 pm, daily
7
Efficacy: randomized controlled trial
Random assignment to app versus ‘placebo’ app Follow-up by after 3 and 6 months Outcome: self-report of smoking cessation and relapse University of Bern Funded by the Tobacco Prevention Fund (OFSP) Already 1’700 participants (September 2016) Follow-up rates - 40% after 3 months - 25% after 6 months
8
Impact = participation * efficacy
Conclusions Impact = participation * efficacy Small efficacy (2% above ‘placebo’ app?) but Large, global enrollment: ’000 users since retention: 21% after 1 month App should be integrated in medical care: - participants are encouraged to see Dr, addresses provided - app should be prescribed by physicians - patients should use of the app between medical visits Future developments: - develop social network - improve compliance with medications
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.