Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Jan 10, 2023
Date Accepted: Apr 10, 2023
Patient Engagement in a Multi-Modal 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:
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 four addiction medicine programs in an integrated healthcare delivery system in Northern California. Ecological momentary assessment (EMA), sensor data, and social media data were collected by smartphone, smartwatch, and from social media platforms over a 12-week period. Primary engagement outcomes were meeting measures of minimum phone carry (≥8 hours/day) and watch wear (≥18 hours/day) criteria, EMA response rates, and social media consent rate and data sparsity. Descriptive analyses and bivariate associations were performed.
Results:
The participants’ average age was 37 years, 48% were female, and 71% were White. On average, participants met phone carry criteria on 94% of study days, met watch worn criteria on 74% of days, and wore the watch to sleep on 77% of days. Mean EMA response rate was 70%, declining from 83% to 56% from Week 1 to 12. Among participants with social media accounts, 88% consented to provide data; of those, 55% of Facebook, 54% of Instagram, and 57% of Twitter participants provided data. The amount of social media data available varied widely across participants. No differences by age, sex, or race or ethnicity were observed for any outcomes.
Conclusions:
To our knowledge, this was the first study to capture these three digital data sources in this clinical population. Findings demonstrate that patients in buprenorphine treatment for OUD had generally high engagement with multiple digital phenotyping data sources, but with limited intersection for social media data. Clinical Trial: NCT04535583
Citation
Per the author's request the PDF is not available.
Copyright
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