Analyzing mHealth Engagement: Joint Models for Intensively Collected User Engagement Data.

ABSTRACT:

Background

Evaluating engagement with an intervention is a key component of understanding its efficacy. With an increasing interest in developing behavioral interventions in the mobile health (mHealth) space, appropriate methods for evaluating engagement in this context are necessary. Data collected to evaluate mHealth interventions are often collected much more frequently than those for clinic-based interventions. Additionally, missing data on engagement is closely linked to level of engagement resulting in the potential for informative missingness. Thus, models that can accommodate intensively collected data and can account for informative missingness are required for unbiased inference when analyzing engagement with an mHealth intervention.

Objective

The objectives of thi

SUBMITTER: Scherer EA 

PROVIDER: S-EPMC5269557 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature