Articles: emergency-services.
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Eur. J. Intern. Med. · Aug 2024
Multicenter StudyPrognostic value of cognitive impairment, assessed by the Clock Drawing Test, in emergency department patients presenting with non-specific complaints.
Cognitive impairment (CI) is common among older patients presenting to the emergency department (ED). The failure to recognize CI at ED presentation constitutes a high risk of additional morbidity, mortality, and functional decline. The Clock Drawing Test (CDT) is a well-established cognitive screening test. ⋯ The early identification of patients with CI may lead to improved patient management and resource allocation. The CDT could be used as a risk stratification tool for older ED patients presenting with NSCs, as it is a predictor for 30-day mortality and LOS.
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Traumatic brain injury (TBI) is a common reason for presenting to emergency departments (EDs). The assessment of these patients is frequently hampered by various confounders, and diagnostics is still often based on nonspecific clinical signs. Throughout Europe, there is wide variation in clinical practices, including the follow-up of those discharged from the ED. ⋯ The main results of this paper contain practical, clinically usable recommendations for acute clinical assessment, decision-making on acute head computerized tomography (CT), use of biomarkers, discharge options, and needs for follow-up, as well as a discussion of the main features and risk factors for prolonged recovery. In conclusion, this consensus paper provides a practical stepwise approach for the clinical assessment of patients with an acute TBI at the ED. Recommendations are given for the performance of acute head CT, use of brain biomarkers and disposition after ED care including careful patient information and organization of follow-up for those discharged.
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Emerg Med Australas · Aug 2024
Observational StudyRetrospective observational study of aged care facility residents presenting to ED post fall: A case for person-centred shared decision making.
Identify the incidence of intracranial haemorrhage in people from residential aged care facilities following falls who had a CT head performed. The secondary objectives were to identify predictor variables for intracranial haemorrhage to inform person-centred shared decision making. ⋯ Deviation from neurological baseline or external signs of head injury may be predictors of intracranial haemorrhage. Vomiting, headache, anticoagulation or antiplatelets were not associated with intracranial haemorrhage. A person-centred decision-making approach, that is informed by treatment options could better guide clinicians on when to order a CT head after a fall.
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Randomized Controlled Trial
Real-time machine learning-assisted sepsis alert enhances the timeliness of antibiotic administration and diagnostic accuracy in emergency department patients with sepsis: a cluster-randomized trial.
Machine learning (ML) has been applied in sepsis recognition across different healthcare settings with outstanding diagnostic accuracy. However, the advantage of ML-assisted sepsis alert in expediting clinical decisions leading to enhanced quality for emergency department (ED) patients remains unclear. A cluster-randomized trial was conducted in a tertiary-care hospital. ⋯ The diagnostic performance of ML in prompt sepsis detection was superior to that of the rule-based system. Trial registration Thai Clinical Trials Registry TCTR20230120001. Registered 16 January 2023-Retrospectively registered, https://www.thaiclinicaltrials.org/show/TCTR20230120001 .
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Multicenter Study
Healthcare workers' perspectives on a prescription phone program to meet the health equity needs of patients in the emergency department: a qualitative study.
People experiencing homelessness and marginalization face considerable barriers to accessing healthcare services. Increased reliance on technology within healthcare has exacerbated these inequities. We evaluated a hospital-based prescription phone program aimed to reduce digital health inequities and improve access to services among marginalized patients in Emergency Departments. We examined the perceived outcomes of the program and the contextual barriers and facilitators affecting outcomes. ⋯ Our findings suggest that providing phones to marginalized patient populations may address digital and social health inequities; however, building trusting relationships with patients, understanding the unique needs of these populations, and operating within a biopsychosocial model of health are key to program success.