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Dataset Information

External validation of a model to predict future chronic opioid use among hospitalized patients.


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