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Dataset Information

Patient Engagement in a Multimodal Digital Phenotyping Study of Opioid Use Disorder.


ABSTRACT:

Background

Multiple digital data sources can capture moment-to-moment information to advance a robust understanding of opioid use disorder (OUD) behavior, ultimately creating a digital phenotype for each patient. This information can lead to individualized interventions to improve treatment for OUD.

Objective

The aim is to examine patient engagement with multiple digital phenotyping methods among patients receiving buprenorphine medication for OUD.

Methods

The study enrolled 65 patients receiving buprenorphine for OUD between June 2020 and January 2021 from 4 addiction medicine programs in an integrated health care delivery system in Northern California. Ecological momentary assessment (EMA), sensor data, and social media data were collected by smartphone, smartwatch,

SUBMITTER: Campbell CI 

PROVIDER: S-EPMC10337375 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature