A Risk Prediction Model for Long-term Prescription Opioid Use.

ABSTRACT:

Background

Tools are needed to aid clinicians in estimating their patients' risk of transitioning to long-term opioid use and to inform prescribing decisions.

Objective

The objective of this study was to develop and validate a model that predicts previously opioid-naive patients' risk of transitioning to long-term use.

Research design

This was a statewide population-based prognostic study.

Subjects

Opioid-naive (no prescriptions in previous 2 y) patients aged 12 years old and above who received a pill-form opioid analgesic in 2016-2018 and whose prescriptions were registered in the California Prescription Drug Monitoring Program (PDMP).

Measures

A multiple logistic regression approach was used to construct a prediction model with long-term (ie, >90 d) op

SUBMITTER: Tseregounis IE 

PROVIDER: S-EPMC8595680 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature