Prediction of Future Chronic Opioid Use Among Hospitalized Patients.

ABSTRACT: BACKGROUND:Opioids are commonly prescribed in the hospital; yet, little is known about which patients will progress to chronic opioid therapy (COT) following discharge. We defined COT as receipt of ≥ 90-day supply of opioids with < 30-day gap in supply over a 180-day period or receipt of ≥ 10 opioid prescriptions over 1 year. Predictive tools to identify hospitalized patients at risk for future chronic opioid use could have clinical utility to improve pain management strategies and patient education during hospitalization and discharge. OBJECTIVE:The objective of this study was to identify a parsimonious statistical model for predicting future COT among hospitalized patients not on COT before hospitalization. DESIGN:Retrospective analysis electronic health record (EHR) data from 2008 to 20

SUBMITTER: Calcaterra SL 

PROVIDER: S-EPMC5975151 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature