Literature DB >> 22862754

Senior Streaming Assessment Further Evaluation after Triage zone: a novel model of care encompassing various emergency department throughput measures.

Amith Shetty1, Naren Gunja, Karen Byth, Matthew Vukasovic.   

Abstract

OBJECTIVE: Access block (AB) and hospital overcrowding adversely affect ED functionality. ED throughput measures have been described in the literature with positive impacts on key performance indicators (KPIs)--time to first seen, did-not-wait rates, off-stretcher times for ambulances and ED length of stay figures. In this study, we aimed to assess the impact of a new model of care, the Senior Streaming Assessment Further Evaluation after Triage (SAFE-T) zone concept on ED performance indicators and statistical outcomes.
METHODS: We implemented a model of care at our tertiary hospital ED amalgamating multiple ED throughput interventions. These interventions included dynamic transition waiting room concept, early senior ED physician assessment and decision-making, early streaming, acute-care bed quarantining and ED short stay and observation units. The principal intervention was the SAFE-T zone. End-point data were compared for similar periods (77 days) of 2010 and 2011 with and without the new model of care.
RESULTS: In total, 11 408 and 11 845 patients were included in the study periods pre- and post-intervention, respectively. Time to physician KPI improved from 72.5% to 84.1%. Did-not-wait rates dropped from 10.7% to 9.6% (P= 0.02) and off-stretcher times for ambulances KPI improved from 74.5% to 79.5% (P < 0.001). ED length of stay dropped most significantly for Australasian Triage Scale categories 3 and 4 (14.3% and 11.8%, P-values <0.001). These results were achieved despite worsened AB and hospital bed-occupancy rates during the intervention period (+3.9% and +6.7%).
CONCLUSIONS: The SAFE-T zone model of care involving multiple ED throughput measures achieved improvements in ED performance despite AB and hospital overcrowding.
© 2012 The Authors. EMA © 2012 Australasian College for Emergency Medicine and Australasian Society for Emergency Medicine.

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Mesh:

Year:  2012        PMID: 22862754     DOI: 10.1111/j.1742-6723.2012.01550.x

Source DB:  PubMed          Journal:  Emerg Med Australas        ISSN: 1742-6723            Impact factor:   2.151


  5 in total

1.  Exploration of clinicians' decision-making regarding transfer of patient care from the emergency department to a medical assessment unit: A qualitative study.

Authors:  Helen Cleak; Sonya R Osborne; Julian W M de Looze
Journal:  PLoS One       Date:  2022-02-03       Impact factor: 3.240

2.  Areas of delay related to prolonged length of stay in an emergency department of an academic hospital in South Africa.

Authors:  Kapari Mashao; Tanya Heyns; Zelda White
Journal:  Afr J Emerg Med       Date:  2021-03-10

Review 3.  Evaluation of emergency department performance - a systematic review on recommended performance and quality-in-care measures.

Authors:  Christian Michel Sørup; Peter Jacobsen; Jakob Lundager Forberg
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2013-08-09       Impact factor: 2.953

Review 4.  Strategies to measure and improve emergency department performance: a scoping review.

Authors:  Elizabeth E Austin; Brette Blakely; Catalin Tufanaru; Amanda Selwood; Jeffrey Braithwaite; Robyn Clay-Williams
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2020-06-15       Impact factor: 2.953

5.  Emergency department crowding: A systematic review of causes, consequences and solutions.

Authors:  Claire Morley; Maria Unwin; Gregory M Peterson; Jim Stankovich; Leigh Kinsman
Journal:  PLoS One       Date:  2018-08-30       Impact factor: 3.240

  5 in total

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