Articles: emergency-department.
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Little is known about the effectiveness of bridge clinics as transitional care programs for people with opioid use disorder in emergency departments (EDs). We assessed the effect of bridge clinic referral on health services use among patients with opioid use disorder identified in the ED. ⋯ Our overall results suggest that bridge clinic referral increases linkage to long-term care. Nevertheless, qualitatively different effects on inpatient admission between patients with and without serious mental illness warrant consideration of unmet needs among patients with serious mental illness.
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Observational Study
Using emergency department triage for machine learning-based admission and mortality prediction.
Patient admission is a decision relying on sparsely available data. This study aims to provide prediction models for discharge versus admission for ward observation or intensive care, and 30 day-mortality for patients triaged with the Manchester Triage System. ⋯ Machine learning can provide prediction on discharge versus admission to general wards and intensive care and inform about risk on 30 day-mortality for patients in the emergency department.
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We describe emergency department (ED) visit volume, illness severity, and crowding metrics from the onset of the coronavirus disease 2019 (COVID-19) pandemic through mid-2022. ⋯ ED visit volumes fell early in the pandemic and have only partly recovered. Despite lower volumes, ED crowding has increased. This issue is magnified in psychiatric patients.
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Acute phlegmonous esophagitis (APE) is bacterial infection of the submucosal and muscularis layers of the esophagus. APE is a rare but life-threatening disease, and few studies have reported it. ⋯ As APE is rare but deadly, strategies to identify APE in patients with chest pain or dysphagia are needed in emergency department.
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Emerg Med Australas · Dec 2023
Comment Observational StudyEvaluating the use of the ABCD2 score as a clinical decision aid in the emergency department: Retrospective observational study.
Clinical decision aids (CDAs) can help clinicians with patient risk assessment. However, there is little data on CDA calculation, interpretation and documentation in real-world ED settings. The ABCD2 score (range 0-7) is a CDA used for patients with transient ischaemic attack (TIA) and assesses risk of stroke, with a score of 0-3 being low risk. The aim of this study was to describe ABCD2 score documentation in patients with an ED diagnosis of TIA. ⋯ The ABCD2 score was documented in less than half of eligible patients. When documented, clinicians were generally accurate with their calculation and application of the ABCD2. No independent predictors of ABCD2 documentation were identified.