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Opioid Risk Tool, in-hospital opioid exposure, and opioid demand predict pain outcomes following traumatic injury
Journal article   Open access   Peer reviewed

Opioid Risk Tool, in-hospital opioid exposure, and opioid demand predict pain outcomes following traumatic injury

Danielle A. Kessler, Heather E. Webber, Constanza de Dios, Jin H. Yoon, Joy M. Schmitz, Scott D. Lane, John A. Harvin, Angela M. Heads, Charles E. Green, Shweta Kapoor, …
Journal of health psychology, v 29(7), pp 680-689
01 Jun 2024
PMID: 38641873
url
https://doi.org/10.1177/13591053241242543View
Published, Version of Record (VoR) Open

Abstract

Psychology, Clinical Psychology Social Sciences
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.

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Collaboration types
Domestic collaboration
Web of Science research areas
Psychology, Clinical
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