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Opioid Prescription Patterns for Discharged Patients from the Emergency Department

OBJECTIVES: It is important to analyze the types of etiologies and provider demographics that drive opioid prescription in our emergency departments. Our study aimed to determine which patients in the ED are receiving opioid prescriptions, as well as their strength and quantity. Secondary outcomes i...

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Autores principales: Yanuck, Justin, Lee, Jonathan B., Saadat, Soheil, Rouhi, Jila, Ghanem, Ghadi, Chakravarthy, Bharath, Shah, Shalini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837768/
https://www.ncbi.nlm.nih.gov/pubmed/33532010
http://dx.doi.org/10.1155/2021/4980170
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author Yanuck, Justin
Lee, Jonathan B.
Saadat, Soheil
Rouhi, Jila
Ghanem, Ghadi
Chakravarthy, Bharath
Shah, Shalini
author_facet Yanuck, Justin
Lee, Jonathan B.
Saadat, Soheil
Rouhi, Jila
Ghanem, Ghadi
Chakravarthy, Bharath
Shah, Shalini
author_sort Yanuck, Justin
collection PubMed
description OBJECTIVES: It is important to analyze the types of etiologies and provider demographics that drive opioid prescription in our emergency departments. Our study aimed to determine which patients in the ED are receiving opioid prescriptions, as well as their strength and quantity. Secondary outcomes included identifying difference in prescribing between provider classes. METHODS: We conducted a retrospective study at a tertiary care university-based, level-one trauma ED from November 2017 to October 2018. We identified and analyzed data from 2,259 patients who were sent home with an opioid prescription. We retrieved patient and provider demographics, diagnosis, etiologies, and prescription information. RESULTS: The mean age of a patient receiving an opioid prescription was 45, and 72.7% of patients were white. The most common diagnosis groups associated with an opioid prescription were abdominal pain (18.5%), nonfracture extremity pain (18.4%), and back/neck pain (12.5%). Hydrocodone-acetaminophen 5–325 mg was the most commonly prescribed (67.4%). The median total prescribed milligram morphine equivalent (MME) was highest for extremity fracture (75.0; IQR 54.0–100.0). The median total prescribed amount of pills was highest for patients with extremity fractures (15.0; IQR 12.0–20.0). CONCLUSIONS: Our study elucidates the prescribing patterns of an academic level 1 trauma center and should pave the way for future studies looking to maximize effectiveness at ways to curb ED opioid prescription.
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spelling pubmed-78377682021-02-01 Opioid Prescription Patterns for Discharged Patients from the Emergency Department Yanuck, Justin Lee, Jonathan B. Saadat, Soheil Rouhi, Jila Ghanem, Ghadi Chakravarthy, Bharath Shah, Shalini Pain Res Manag Research Article OBJECTIVES: It is important to analyze the types of etiologies and provider demographics that drive opioid prescription in our emergency departments. Our study aimed to determine which patients in the ED are receiving opioid prescriptions, as well as their strength and quantity. Secondary outcomes included identifying difference in prescribing between provider classes. METHODS: We conducted a retrospective study at a tertiary care university-based, level-one trauma ED from November 2017 to October 2018. We identified and analyzed data from 2,259 patients who were sent home with an opioid prescription. We retrieved patient and provider demographics, diagnosis, etiologies, and prescription information. RESULTS: The mean age of a patient receiving an opioid prescription was 45, and 72.7% of patients were white. The most common diagnosis groups associated with an opioid prescription were abdominal pain (18.5%), nonfracture extremity pain (18.4%), and back/neck pain (12.5%). Hydrocodone-acetaminophen 5–325 mg was the most commonly prescribed (67.4%). The median total prescribed milligram morphine equivalent (MME) was highest for extremity fracture (75.0; IQR 54.0–100.0). The median total prescribed amount of pills was highest for patients with extremity fractures (15.0; IQR 12.0–20.0). CONCLUSIONS: Our study elucidates the prescribing patterns of an academic level 1 trauma center and should pave the way for future studies looking to maximize effectiveness at ways to curb ED opioid prescription. Hindawi 2021-01-13 /pmc/articles/PMC7837768/ /pubmed/33532010 http://dx.doi.org/10.1155/2021/4980170 Text en Copyright © 2021 Justin Yanuck et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yanuck, Justin
Lee, Jonathan B.
Saadat, Soheil
Rouhi, Jila
Ghanem, Ghadi
Chakravarthy, Bharath
Shah, Shalini
Opioid Prescription Patterns for Discharged Patients from the Emergency Department
title Opioid Prescription Patterns for Discharged Patients from the Emergency Department
title_full Opioid Prescription Patterns for Discharged Patients from the Emergency Department
title_fullStr Opioid Prescription Patterns for Discharged Patients from the Emergency Department
title_full_unstemmed Opioid Prescription Patterns for Discharged Patients from the Emergency Department
title_short Opioid Prescription Patterns for Discharged Patients from the Emergency Department
title_sort opioid prescription patterns for discharged patients from the emergency department
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7837768/
https://www.ncbi.nlm.nih.gov/pubmed/33532010
http://dx.doi.org/10.1155/2021/4980170
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