Effects of staff grade, overcrowding and presentations on emergency department performance: A regression model
In: Emergency medicine Australasia : EMAReferences, Jg. 34 (2021-10-12), Heft 3
Online
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Zugriff:
OBJECTIVE To examine the effect of staffing levels by experience of medical officers and overcrowding on ED key performance indicators (KPIs). METHODS Presentations to Nepean ED from 6 May to 3 November 2019 were examined. Staff were designated either Fellows of the Australasian College for Emergency Medicine (FACEMs), non-FACEM senior decision-makers (SDMs), non-senior decision-makers greater than 2 years postgraduate (non-SDMs) and junior medical officers up to 2 years postgraduate (JMOs). The number of admitted patients boarded in the ED waiting for a ward bed at 8 am was used as a marker for overcrowding. Multivariable regression analysis was performed using staffing levels, number of admissions at 8 am and total presentations as the independent variables and various ED KPIs as the dependent variables. RESULTS FACEM and SDM had a significant effect on most ED KPIs, with the effect of FACEM consistently larger than the effect of SDM. There was minimal effect on performance by non-SDM and JMO staffing. There was significant effect of overcrowding as measured by the number of admitted patients in ED at 8 am on most ED KPIs. Almost no variables had an effect on Emergency Treatment Performance (4-h target) for admitted patients, suggesting poor performance was caused by factors outside of the ED. CONCLUSION Increasing numbers of FACEM and non-FACEM SDM, but not junior staff, and a reduction in overcrowding as measured by the number of admitted patients boarded in the ED at 8 am, were associated with improvements in the ED performance.
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Effects of staff grade, overcrowding and presentations on emergency department performance: A regression model
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Autor/in / Beteiligte Person: | James L Mallows |
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Zeitschrift: | Emergency medicine Australasia : EMAReferences, Jg. 34 (2021-10-12), Heft 3 |
Veröffentlichung: | 2021 |
Medientyp: | unknown |
ISSN: | 1742-6723 (print) |
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