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Machine Learning Technology in Predicting Relapse and Implementing Peer Recovery Intervention Before Drug Use Occurs
Sponsor: West Virginia University
Summary
The goal of this clinical trial is to study the relationship between substance cravings, cognitive performance, behaviors, and physiological markers in individuals with substance use disorder, as well as the effects of peer recovery intervention in response to abnormal biomarker data detected by wearable technology (e.g., Oura ring, smart watch) and participant responses to questionnaires and cognitive tasks completed on the RNI Health application.
Official title: The Utilization of Machine Learning Technologies in Predicting Relapse: Identifying Risk Factors and Implementing Intervention Before Drug Use Occurs
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
500
Start Date
2023-04-27
Completion Date
2028-04-26
Last Updated
2025-03-24
Healthy Volunteers
Yes
Conditions
Interventions
PRSS (Peer Recovery Support Specialist)
Upon receiving an alert through a study dashboard, the PRSS (who is blinded in not knowing whether the alert was caused by data anomaly or a random generation), the PRSS will be able to access identifiable contact details and contact the participant by phone and provide the necessary support assistance (e.g., locations of AA/NA meetings, sleep and/or relaxation techniques, etc).
Locations (1)
West Virginia University Rockefeller Neuroscience Institute
Morgantown, West Virginia, United States