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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Hospital ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Hospital Medicine
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
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Patient and medication‐related factors associated with opioid use disorder after inpatient opioid administration

Authors: Elizabeth C.S. Swart; Terri V. Newman; Yan Huang; Robert J. Howell; Mei Han; Chester B. Good; Samuel K. Peasah; +1 Authors

Patient and medication‐related factors associated with opioid use disorder after inpatient opioid administration

Abstract

AbstractBackgroundExamine baseline factors associated with a new diagnosis of opioid use disorder (OUD) within 12 months postdischarge among opioid‐naïve patients who received an opioid prescription in the inpatient setting.Design/SettingRetrospective cohort (surgery and nonsurgery) study of opioid‐naive patients who had at least one prescription for an opioid during an inpatient hospitalist between 2014 and 2017.ParticipantsTwenty‐three thousand and thirty‐three patients were included.ObjectiveThe primary objective was to determine baseline factors associated with a new OUD diagnosis within 12 months of discharge. Baseline covariates included demographic information, clinical characteristics, medication use, characteristics related to index hospital encounter, and discharge location.Findings2.1% of the sample had a new diagnosis of OUD within a year after receiving an opioid during hospital admission. Patients between ages 25 and 34 had higher odds of a new OUD diagnosis compared to those 65 years of age and older (odds ratio [OR]: 6.98, 95% confidence interval [CI]: 4.02–12.1 [nonsurgery] and 4.69, 95% CI: 2.63–8.37 [surgery]). Patients from a high opioid geo‐rank region had higher odds of OUD diagnosis (OR: 2.08, 95% CI: 1.31–3.31 [nonsurgery] and 1.80, 95% CI: 1.03–3.15 [surgery]). History of nonopioid‐related drug disorder, tobacco use disorder, mental health conditions, and gabapentin use 12 months prior to index date and white race were associated with higher odds of new OUD diagnosis.ConclusionsIt is important to identify and evaluate factors associated with developing a new diagnosis of OUD following hospitalization. This can inform pain management strategies within the hospital and at discharge, and prompt clinicians to screen for risk of OUD.

Related Organizations
Keywords

Adult, Analgesics, Opioid, Hospitalization, Inpatients, Aftercare, Humans, Opioid-Related Disorders, Patient Discharge, Retrospective Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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