Individual-Level Risk Prediction of Return to Use During Opioid Use Disorder Treatment.

ABSTRACT:

Importance

No existing model allows clinicians to predict whether patients might return to opioid use in the early stages of treatment for opioid use disorder.

Objective

To develop an individual-level prediction tool for risk of return to use in opioid use disorder.

Design, setting, and participants

This decision analytical model used predictive modeling with individual-level data harmonized in June 1, 2019, to October 1, 2022, from 3 multicenter, pragmatic, randomized clinical trials of at least 12 weeks' duration within the National Institute on Drug Abuse Clinical Trials Network (CTN) performed between 2006 and 2016. The clinical trials covered a variety of treatment settings, including federally licensed treatment sites, physician practices, and inpatient treatmen

SUBMITTER: Luo SX 

PROVIDER: S-EPMC10551817 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature