Ontology highlight
ABSTRACT: Background
Little is known about how individuals engage with electronic health (eHealth) interventions over time and whether this engagement predicts health outcomes.Objective
The objectives of this study, by using the example of a specific type of eHealth intervention (ie, websites for smoking cessation), were to determine (1) distinct groups of log-in trajectories over a 12-month period, (2) their association with smoking cessation, and (3) baseline user characteristics that predict trajectory group membership.Methods
We conducted a functional clustering analysis of 365 consecutive days of log-in data from both arms of a large (N=2637) randomized trial of 2 website interventions for smoking cessation (WebQuit and Smokefree), with a primary outcome of 30-day point
SUBMITTER: Bricker JB
PROVIDER: S-EPMC5935807 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature