Effect of self-monitoring on long-term patient engagement with mobile health applications.

ABSTRACT: Despite the growing adoption of the mobile health (mHealth) applications (apps), few studies address concerns with low retention rates. This study aimed to investigate how the usage patterns of mHealth app functions affect user retention. We collected individual usage logs for 1,439 users of single tethered personal health record app, which spanned an 18-months period from August 2011 to January 2013. The user logs contained timestamps whenever an individual uses each function, which enables us to identify the usage patterns based on the intensity of using a particular function in the app. We then estimated how these patterns were related to 1) the app usage over time (using the random effect model) and 2) the probability of stopping the use of the application (using the Cox proportional h

SUBMITTER: Lee K 

PROVIDER: S-EPMC6062090 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature