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Dataset Information

Assessing Digital Phenotyping for App Recommendations and Sustained Engagement: Cohort Study.


ABSTRACT:

Background

Low engagement with mental health apps continues to limit their impact. New approaches to help match patients to the right app may increase engagement by ensuring the app they are using is best suited to their mental health needs.

Objective

This study aims to pilot how digital phenotyping, using data from smartphone sensors to infer symptom, behavioral, and functional outcomes, could be used to match people to mental health apps and potentially increase engagement.

Methods

After 1 week of collecting digital phenotyping data with the mindLAMP app (Beth Israel Deaconess Medical Center), participants were randomly assigned to the digital phenotyping arm, receiving feedback and recommendations based on those data to select 1 of 4 predetermined mental health app

SUBMITTER: Dwyer B 

PROVIDER: S-EPMC11615540 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature