The American journal of emergency medicine
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Crowding and limited resources have increased the strain on acute care facilities and emergency departments worldwide. These problems are particularly prevalent in developing countries. Discrete event simulation is a computer-based tool that can be used to estimate how changes to complex health care delivery systems such as emergency departments will affect operational performance. Using this modality, our objective was to identify operational interventions that could potentially improve patient throughput of one acute care setting in a developing country. ⋯ Resource-neutral interventions identified through discrete event simulation modeling have the potential to improve acute care throughput in this Ghanaian municipal hospital. Discrete event simulation offers another approach to identifying potentially effective interventions to improve patient flow in emergency and acute care in resource-limited settings.
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Compare outcomes among emergency department (ED) patients with low-positive (0.01-0.02 ng/mL) vs negative troponin T. ⋯ Among patients not initially admitted, rates of death and coronary revascularization differed insignificantly at 30 days but significantly at 6 months. Detailed inspection of our results reveals that the bulk of the added risk at 6 months was due to non-cardiac mortality.
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The purpose of this study is to provide resistance data for Escherichia coli isolates causing urinary tract infections in emergency department (ED) patients not requiring admission and explore if differences between this subpopulation and the hospital antibiogram exist. Differences between community-acquired urinary tract infection (CA-UTI) and health care-associated (HA-UTI) subgroups were also investigated. ⋯ E coli susceptibility for ED patients not requiring admission may not be accurately represented by hospital antibiograms that contain culture data from various patient types, sites of infection, or patients with varying illness severity. Separation of the ED population into CA-UTI and HA-UTI subgroups may be helpful when selecting empiric antibiotic therapy.
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Variation in hospital admission rates of patients presenting to the emergency department (ED) may represent an opportunity to improve practice. We seek to describe national variation in hospital admission rates from the ED and to determine the degree to which variation is not explained by patient characteristics or hospital factors. ⋯ There was variation in hospital admission rates from the ED in the United States, even after adjusting for patients' sociodemographic and clinical characteristics and accounting for hospital factors. Our findings suggest that suggesting that the likelihood of being admitted from the ED is not only dependent on clinical factors but also at which hospital the patient seeks care.