Emergency medicine Australasia : EMA
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Emerg Med Australas · Jun 2020
Emergency department impact following the introduction of an electric scooter sharing service.
We aimed to describe the impact on the single ED serving Dunedin, New Zealand, following the introduction of an electric-scooter (e-scooter) sharing service. ⋯ The introduction of an e-scooter sharing service resulted in a new injury hazard. Our study presents the number of e-scooter related ED presentations relative to other vehicles related injury visits and describes the injury patterns associated with e-scooter use which may inform future public policy.
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Emerg Med Australas · Jun 2020
Observational StudyEpidemiology and effects of fluid bolus administration in the paediatric emergency department.
Fluid bolus therapy (FBT) is recommended as the initial form of acute circulatory support for many disease processes. The epidemiology of its use in the ED is unknown. The aim of this study was to assess indications, use patterns and short-term effects of FBT in a paediatric ED. ⋯ Fluid bolus therapy is a commonly used intervention in the paediatric ED, most often for dehydration. Variability in indications, dose and effects of FBT warrant further exploration.
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Emerg Med Australas · Jun 2020
Using data mining to predict emergency department length of stay greater than 4 hours: Derivation and single-site validation of a decision tree algorithm.
Health services have an imperative to reduce prolonged patient length of stay (LOS) in ED. Our objective is to develop and validate an accurate prediction model for patient LOS in ED greater than 4 hours using a data mining technique. ⋯ This model performed very well in predicting ED LOS >4 hours for each individual patient and demonstrated a number of clinically relevant patterns. Identifying patterns that influence ED LOS is important for health managers in order to develop and implement interventions targeted at those clinical scenarios. Future work should look at the utility of displaying individual patient risk of ED LOS >4 hours using this model in real-time at the point-of-care.