Identifying risk factors for drug use recurrence with ecological momentary assessment, wearable technologies, and machine learning: a feasibility trial of peer recovery support specialist intervention - Report - MDSpire
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Identifying risk factors for drug use recurrence with ecological momentary assessment, wearable technologies, and machine learning: a feasibility trial of peer recovery support specialist intervention
Clinical Report: Predictive Factors for Drug Use Recurrence via EMA and PRSS
Overview
This feasibility study investigates the use of wearable devices and ecological momentary assessment (EMA) to predict drug use recurrence (DUR) and the role of peer recovery support specialists (PRSS) in response to alerts.
Background
Substance use disorders (SUD) affect millions, with high relapse rates posing significant health risks, including overdose. Identifying predictors of relapse in real-time can facilitate timely interventions.
Data Highlights
Participants
PRSS Intervention Arm
Standard of Care Arm
108
26
37
Average Call Attempts
∼20
N/A
Significant Decrease in Anxiety
p < 0.001
N/A
Significant Decrease in Maximum Craving
p = 0.011
N/A
Key Findings
229 participants were enrolled, with 108 providing data for analysis.
Participants were monitored for 90 days before randomization to either PRSS or standard care.
The PRSS intervention resulted in significant reductions in anxiety, stress, and depression.
PRSS made an average of 20 call attempts per participant based on alerts.
Patient compliance and data attrition were identified as challenges for future studies.
Clinical Implications
The study suggests that wearable devices and EMA can effectively predict risk factors for drug use recurrence. PRSS interventions may provide valuable support during high-risk periods, potentially improving treatment outcomes.
Conclusion
This feasibility study demonstrates the potential of integrating wearable technology and PRSS in managing substance use disorders, highlighting areas for further research and optimization.
by James J. Mahoney III, Victor S. Finomore, Jennifer L. Marton, Lucinda J. England, Sara McFoy, Danielle Romanoff, Jad Ramadan, Anahita Zarei, Amer Mahyoub, Jessie Crooks, James H. Berry, Steven D. Shirk, Manish Ranjan, Ali R. Rezai
Analysis of more than 61,000 patients found higher odds of elevated loneliness scores among those reporting blindness and those with diabetic retinopathy, but not among patients with glaucoma or age-related macular degeneration.
