Long-term participant retention and engagement patterns in an app and wearable-based multinational remote digital depression study.

ABSTRACT: Recent growth in digital technologies has enabled the recruitment and monitoring of large and diverse populations in remote health studies. However, the generalizability of inference drawn from remotely collected health data could be severely impacted by uneven participant engagement and attrition over the course of the study. We report findings on long-term participant retention and engagement patterns in a large multinational observational digital study for depression containing active (surveys) and passive sensor data collected via Android smartphones, and Fitbit devices from 614 participants for up to 2 years. Majority of participants (67.6%) continued to remain engaged in the study after 43 weeks. Unsupervised clustering of participants' study apps and Fitbit usage data showed 3 disti

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC9938183 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature