ArticleHealthcare (Basel, Switzerland)2024
An Overview of Opioid Prescription Patterns among Non-Opioid Users Following Emergency Department Admission.
Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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0 citing papers in PubMed.
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Authors and funding
11 authors.
Funding
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Abstract
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.
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