Articles: emergency-medical-services.
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Emergency physicians without specialized Emergency Medical Services (EMS) training are often required to provide online medical oversight. One common ethical question faced by these physicians is the assessment for decision-making capacity in a patient who does not accept EMS transport to the hospital. We sought expert consensus for a standardized set of guiding questions and recommendations to ensure a rigorous and feasible capacity assessment. ⋯ A consensus expert panel was able to agree upon 16 standardized steps to guide best practices and assist emergency physicians in real-time evaluation of patients that refuse EMS transport.
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Scand J Trauma Resus · Sep 2024
Patients' use of Danish emergency medical services before and during the COVID-19 pandemic: a register-based study.
During the COVID-19 pandemic, disturbing images of ambulances unable to respond to the demands for prehospital assistance appeared from several parts of the world. In Denmark, however, a notion occurred that the demands for emergency medical assistance declined. The purpose of this study was to compare the patients' use of the Danish Emergency Medical Services (EMS) before and during the COVID-19 pandemic. Furthermore, we investigated the overall mortality of the ambulance population, the main reason for calling the emergency medical dispatch centre, and the diagnosis assigned to the admitted patients. ⋯ During the first wave of the COVID-19 pandemic, the Danish EMS experienced an overall reduction in the requests for and the use of ambulances and, especially, in the number of patients admitted to hospitals for respiratory diseases. Despite the overall reduction in EMS requests, the mortality of the ambulance population increased, indicating that despite the reduced ambulance use, the prehospital population was more severely ill during the pandemic.
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Elder mistreatment (EM), encompassing abuse and neglect, is a significant public health issue, affecting up to 10% of community-dwelling older adults annually. Elder mistreatment is a growing concern with a higher prevalence in institutional settings and substantial associated healthcare costs. Prehospital clinicians (PHCs) such as emergency medical technicians and paramedics are uniquely positioned to detect and report EM during their interactions with older adults in their homes. The objective of the study is to describe the rate and characteristics of EM documented by PHCs using the National Emergency Medical Services Information System (NEMSIS) database. ⋯ Despite the high prevalence of EM, PHCs infrequently document EM in their encounters with older adults. Additional training and comprehensive protocols are needed to improve the identification and reporting of EM, mainly elder neglect. Empowering PHCs through education and protocol development can significantly impact the detection and intervention of EM.
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Emergency Medical Services patients who survive overdose are at high risk for subsequent overdose and death. Programs that seek to link overdose survivors to harm reduction and treatment services are increasingly common, though they vary in design and measured effect. Public Health - Seattle & King County (PHSKC) used a continuous quality improvement (CQI) process to assess and improve a phone-based model for post-overdose outreach in King County, Washington. ⋯ The PDSA process helped PHSKC's post-overdose outreach team identify adaptations to improve the efficiency of the post-overdose outreach program. The number of people referred to services was modest, reflecting the challenges of post-incident phone-based outreach. Our experience highlights the value of incorporating CQI processes in ongoing program operations and the need for a multi-pronged overdose prevention strategy.
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Data suggest patients suffering acute coronary occlusion myocardial infarction (OMI) benefit from prompt primary percutaneous intervention (PPCI). Many emergency medical services (EMS) activate catheterization labs to reduce time to PPCI, but suffer a high burden of inappropriate activations. Artificial intelligence (AI) algorithms show promise to improve electrocardiogram (ECG) interpretation. The primary objective was to evaluate the potential of AI to reduce false positive activations without missing OMI. ⋯ In this single-center retrospective study, an AI-driven algorithm reduced false positive diagnoses of OMI compared to EMS clinician gestalt. Compared to AI (which missed no OMI), STEMI criteria also reduced false positives but missed 6 true OMI. External validation of these findings in prospective cohorts is indicated.