Emergency medicine journal : EMJ
-
Physicians have observed patients with COVID-19 without respiratory distress despite marked hypoxaemia and extensive radiographic abnormalities, a controversial phenomenon called 'silent hypoxaemia'. We aimed to compare the relationship between RR and peripheral oxygen saturation (SpO2) in patients with COVID-19 versus patients without COVID-19 when breathing air on admission. ⋯ The RR/SpO2 relationship before oxygen administration does not differ between patients with COVID-19 and those without COVID-19, except in elderly patients.
-
Antibiotic stewardship in the ED is important given the increasing prevalence of multidrug resistance associated with poorer patient outcomes. The use of broad-spectrum antibiotics in the ED for infections like appendicitis is common. At baseline, 75% of appendicitis cases at our institution received broad-spectrum ertapenem rather than the recommended narrower-spectrum ceftriaxone/metronidazole combination. We aimed to improve antibiotic stewardship by identifying barriers to guideline adherence and redesigning our appendicitis antibiotic guideline. ⋯ Antibiotic stewardship can be improved by ensuring clinicians have access to convenient and up-to-date guidelines through clinical decision support systems. The FITT model can help guide projects by identifying individual, task and technology barriers. Sustained adherence to clinical guidelines through simplification of guideline content is a potentially powerful tool to influence clinician behaviour in the ED.
-
There are evidence-based bedside tests for diagnosing acute vertigo, but no evidence-based strategies to support clinicians in implementing them. The purpose of this study was to design an implementation strategy for treating acute vertigo by examining current facilitators and barriers to using these tests in the ED using the principles of implementation science. ⋯ This study found several barriers to managing acute vertigo such as memory constraints, and inadequate supporting materials and training, although a robust desire for change. The implementation strategy's initial phase is described, which must now be tested.
-
Observational Study
Detection of patients with COVID-19 by the emergency medical services in Lombardy through an operator-based interview and machine learning models.
The regional emergency medical service (EMS) in Lombardy (Italy) developed clinical algorithms based on operator-based interviews to detect patients with COVID-19 and refer them to the most appropriate hospitals. Machine learning (ML)-based models using additional clinical and geospatial epidemiological data may improve the identification of infected patients and guide EMS in detecting COVID-19 cases before confirmation with SARS-CoV-2 reverse transcriptase PCR (rtPCR). ⋯ ML-based models might help EMS identify patients with SARS-CoV-2 infection, and in guiding EMS allocation of hospital resources based on prespecified criteria.