Ontology highlight
ABSTRACT: Background
Previous research demonstrates an association between opioid prescribing at hospital discharge and future chronic opioid use. Various opioid guidelines and policies contributed to changes in opioid prescribing practices. How this affected hospitalized patients remains unknown.Objective
Externally validate a prediction model to identify hospitalized patients at the highest risk for future chronic opioid therapy (COT).Designs
Retrospective analysis of health record data from 2011 to 2022 using logistic regression.Participants
Hospitalized adults with limited to no opioid use 1-year prior to hospitalization.Settings
A statewide healthcare system.Main measurements
Used variables associated with progression to COT in a derivation cohort
SUBMITTER: Calcaterra SL
PROVIDER: S-EPMC9899308 | biostudies-literature | 2023 Feb
REPOSITORIES: biostudies-literature