Accepted for/Published in: JMIR Research Protocols
Date Submitted: Apr 18, 2022
Open Peer Review Period: Apr 18, 2022 - Jun 13, 2022
Date Accepted: Nov 13, 2022
(closed for review but you can still tweet)
Personalization of Mobile Apps for Health Behavioral Change: Protocol for a Cross-Sectional Study
ABSTRACT
Background:
Although mobile health apps (mHealth) has the potential to motivate people to adopt healthier behaviors, many of them fail to maintain these behavior over time. This long-term adherence can be improved by personalizing the proposed interventions. Based on the literature, we have created a conceptual framework guiding the selection of appropriate functionalities according to the user's profile.
Objective:
This cross-sectional study aims to check if the relationships linking functionalities and profiles proposed in our conceptual framework are confirmed by the preferences of users collected through questionnaires.
Methods:
An online questionnaire lead participants to discover several functionalities of a mobile app aiming to foster healthier behavior. The participants must select the 5 functionalities they consider as the most relevant to motivate a healthier behavior and evaluate them on a score ranging from 0 to 100.
Results:
Data collection was conducted between July 2021 and December 2021.
Conclusions:
This protocol will allow us to define the functionalities that are preferred by users according to their profile according to our conceptual framework.
Citation
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Copyright
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