Predicting Opioid Overdose Deaths Using Prescription Drug Monitoring Program Data.

ABSTRACT:

Introduction

Prescription Drug Monitoring Program data can provide insights into a patient's likelihood of an opioid overdose, yet clinicians and public health officials lack indicators to identify individuals at highest risk accurately. A predictive model was developed and validated using Prescription Drug Monitoring Program prescription histories to identify those at risk for fatal overdose because of any opioid or illicit opioids.

Methods

From December 2018 to July 2019, a retrospective cohort analysis was performed on Maryland residents aged 18-80 years with a filled opioid prescription (n=565,175) from January to June 2016. Fatal opioid overdoses were identified from the Office of the Chief Medical Examiner and were linked at the person-level with Prescription Drug Moni

SUBMITTER: Ferris LM 

PROVIDER: S-EPMC7996003 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature