An Overview of Opioid Prescription Patterns among Non-Opioid Users Following Emergency Department Admission.

emergency opioid pain management

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
03 Jun 2024
Historique:
received: 30 04 2024
revised: 28 05 2024
accepted: 31 05 2024
medline: 19 6 2024
pubmed: 19 6 2024
entrez: 19 6 2024
Statut: epublish

Résumé

The evolving landscape of opioid prescription practices necessitates a comprehensive understanding of emerging patterns, particularly among new opioid users discharged from emergency departments. This study delves into the intricate realm of opioid utilization by elucidating the prevalence of their prescriptions. A retrospective analysis of electronic health records was conducted, including a cohort of 71 patients who received opioid prescriptions upon discharge from emergency departments from 1 January 2022 to 30 June 2022. Demographic characteristics and prescription details were systematically examined. This study illuminates tramadol's prominence, with 84% of prescriptions and a Defined Daily Dose (DDD) morphine equivalent of 60 mg, as the primary choice as a new opioid, a finding that draws attention due to the closely aligned dosages with morphine equivalents. This discovery prompts a critical reassessment of tramadol's therapeutic role, considering its multifaceted nature encompassing serotonergic effects and heightened fall risks. This study advocates for a nuanced and vigilant approach to tramadol prescription, cognizant of its potential risks and therapeutic implications, and highlights the imperative of optimizing data quality and traceability within electronic health records to enhance patient care and facilitate future research endeavors.

Identifiants

pubmed: 38891213
pii: healthcare12111138
doi: 10.3390/healthcare12111138
pii:
doi:

Types de publication

Journal Article

Langues

eng

Auteurs

Miriam Zeino (M)

Department of Pharmacy, Rouen University Hospital, F-76000 Rouen, France.

Romain Léguillon (R)

Department of Pharmacy, Rouen University Hospital, F-76000 Rouen, France.
Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances en e-Santé (LIMICS), U1142, IN-9 SERM, Sorbonne Université, F-75005 Paris, France.

Pauline Brevet (P)

CIC-CRB 1404, Department of Rheumatology, CHU Rouen, University Rouen Normandie, F-76000 Rouen, France.

Baptiste Gerard (B)

Department of Rheumatology, Rouen University Hospital, F-76000 Rouen, France.

Catherine Chenailler (C)

Department of Pharmacy, Rouen University Hospital, F-76000 Rouen, France.

Johanna Raymond (J)

Department of Pharmacy, Rouen University Hospital, F-76000 Rouen, France.

Lucas Bibaut (L)

Department of Rheumatology, Rouen University Hospital, F-76000 Rouen, France.

Sophie Pouplin (S)

Department of Rheumatology, Rouen University Hospital, F-76000 Rouen, France.

Luc Marie Joly (LM)

Emergency Medicine Department, Universitary Hospital of Rouen, University Rouen Normandy, F-76000 Rouen, France.

Rémi Varin (R)

Department of Pharmacy, Rouen University Hospital, F-76000 Rouen, France.

Eric Barat (E)

Department of Pharmacy, Rouen University Hospital, F-76000 Rouen, France.
Department of Public Health, Normandie University UNICAEN, Inserm U1086, F-14000 Caen, France.

Classifications MeSH