This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (671) Opioid and Related Substance Misuse (200) Substance Abuse (530) Machine Learning (2074) mHealth for Wellness, Behavior Change and Prevention (3311) mHealth for Treatment Adherence (467) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1730) mHealth for Rehabilitation (352)

Published on in Vol 10, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29563, first published .
Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

Prospective Prediction of Lapses in Opioid Use Disorder: Protocol for a Personal Sensing Study

Authors of this article:

Hannah Moshontz1 Author Orcid Image ;   Alejandra J Colmenares1 Author Orcid Image ;   Gaylen E Fronk1 Author Orcid Image ;   Sarah J Sant'Ana1 Author Orcid Image ;   Kendra Wyant1 Author Orcid Image ;   Susan E Wanta1 Author Orcid Image ;   Adam Maus2 Author Orcid Image ;   David H Gustafson Jr2 Author Orcid Image ;   Dhavan Shah2, 3 Author Orcid Image ;   John J Curtin1 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Journals

  1. Akbari M, Foroudi P, Zaman Fashami R, Mahavarpour N, Khodayari M. Let us talk about something: The evolution of e-WOM from the past to the future. Journal of Business Research 2022;149:663 View
  2. Yang F, Shah D, Tahk A, Vjorn O, Dietz S, Pe-Romashko K, Bailey E, Gicquelais R, Hwang J, Gustafson D, Westergaard R. mHealth and social mediation: Mobile support among stigmatized people living with HIV and substance use disorder. New Media & Society 2023;25(4):702 View
  3. Wyant K, Moshontz H, Ward S, Fronk G, Curtin J. Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study. JMIR mHealth and uHealth 2023;11:e41833 View
  4. Pulick E, Curtin J, Mintz Y. Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study. JMIR Formative Research 2025;9:e73265 View
  5. Wyant K, Sant'Ana S, Punturieri C, Yu J, Fronk G, Maggard C, Janssen C, Wanta S, Kornfield R, van Swol L, Curtin J. Maximizing Engagement, Trust, and Clinical Benefit of AI-Generated Recovery Support Messages for Alcohol Use Disorder: Protocol for an Optimization Study. JMIR Research Protocols 2025;14:e81697 View