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

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...

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Detalles Bibliográficos
Autores principales: Campbell, Cynthia I, Chen, Ching-Hua, Adams, Sara R, Asyyed, Asma, Athale, Ninad R, Does, Monique B, Hassanpour, Saeed, Hichborn, Emily, Jackson-Morris, Melanie, Jacobson, Nicholas C, Jones, Heather K, Kotz, David, Lambert-Harris, Chantal A, Li, Zhiguo, McLeman, Bethany, Mishra, Varun, Stanger, Catherine, Subramaniam, Geetha, Wu, Weiyi, Zegers, Christopher, Marsch, Lisa A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337375/
https://www.ncbi.nlm.nih.gov/pubmed/37310787
http://dx.doi.org/10.2196/45556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337375/
https://www.ncbi.nlm.nih.gov/pubmed/37310787
http://dx.doi.org/10.2196/45556

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