Faculty, Staff and Student Publications

Language

English

Publication Date

6-1-2024

Journal

Journal of Health Psychology

DOI

10.1177/13591053241242543

PMID

38641873

PMCID

PMC12781970

PubMedCentral® Posted Date

1-9-2026

PubMedCentral® Full Text Version

Author MSS

Abstract

Prescribed opioids are a mainstay pain treatment after traumatic injury, but a subgroup of patients may be at risk for continued opioid use. We evaluated the predictive utility of a traditional screening tool, the Opioid Risk Tool (ORT), and two other measures: average in-hospital milligram morphine equivalents (MME) per day and an assessment of opioid demand in predicting pain outcomes. Assessments of pain-related outcomes (pain intensity, interference, injury-related stress, and need for additional pain treatment) were administered at 2 weeks and 12 months post-discharge in a sample of 34 patients hospitalized for traumatic injury. Bayesian linear models were used to evaluate changes in responses over time as a function of predictors. High-risk ORT, higher MME per day, and greater opioid demand predicted less change in outcomes over time. This report provides first evidence that malleable factors of opioid and opioid demand have utility in predicting pain outcomes following traumatic injury.

Keywords

Humans, Male, Analgesics, Opioid, Female, Adult, Wounds and Injuries, Middle Aged, Pain, Pain Measurement, Risk Assessment, Bayes Theorem, Opioid-Related Disorders, Young Adult, drugs, hospitalization, pain, risk factors, trauma

Published Open-Access

yes

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