Literature DB >> 17999686

Fast track: has it changed patient care in the emergency department?

Paul Kwa1, Denise Blake.   

Abstract

OBJECTIVE: To determine whether the introduction of a designated fast-track area altered the time to care and patient flow in an Australian mixed adult and paediatric ED.
METHODS: Retrospective cohort study of all patients presenting to the ED between 08.00 and 22.00 hours, during a 6 month period before and after the opening of a fast-track area. Data were stratified according to Australasian Triage Scale (ATS) category, and comparisons were made for performance indicators, waiting time, length of stay and did-not-waits.
RESULTS: During its operational hours, fast track managed 14.9% of all patients presenting to the ED. There was a significant increase in the proportion of all ATS 4 patients seen within their target times (77.8% to 79.9%, P < 0.001). There was a trend towards improved performance in ATS categories 2, 3 and 5. Median patient waiting times were significantly decreased in ATS 4 (24 to 22 min, P < 0.001) and ATS 5 (27 to 25 min, P < 0.05), but increased in ATS 2 (3 to 4 min, P < 0.05). No deterioration in performance or waiting time for ATS 1 was shown. There was a decreasing trend in the proportion of patients who did not wait to be assessed by a doctor in ATS categories 4 and 5. These improvements occurred despite a 12% increase in patient attendances and no change in medical staffing levels.
CONCLUSIONS: Fast track in an Australian mixed ED can help meet the demand of increasing patient attendances, allowing lower-acuity patients to be seen quickly without a negative impact on high-acuity patients.

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Year:  2007        PMID: 17999686     DOI: 10.1111/j.1742-6723.2007.01021.x

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


  9 in total

1.  The flex track: flexible partitioning between low- and high-acuity areas of an emergency department.

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Review 2.  A systematic review of triage-related interventions to improve patient flow in emergency departments.

Authors:  Sven Oredsson; Håkan Jonsson; Jon Rognes; Lars Lind; Katarina E Göransson; Anna Ehrenberg; Kjell Asplund; Maaret Castrén; Nasim Farrohknia
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3.  Comparative quality measures of emergency care: an outcome cockpit proposal to survey clinical processes in real life.

Authors:  Susanne Burgemeister; Alexander Kutz; Antoinette Conca; Thomas Holler; Sebastian Haubitz; Andreas Huber; Ulrich Buergi; Beat Mueller; Philipp Schuetz
Journal:  Open Access Emerg Med       Date:  2017-10-24

4.  Impact of the implementation of a fast-track on emergency department length of stay and quality of care indicators in the Champagne-Ardenne region: a before-after study.

Authors:  Jan Chrusciel; Xavier Fontaine; Arnaud Devillard; Aurélien Cordonnier; Lukshe Kanagaratnam; David Laplanche; Stéphane Sanchez
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5.  Medical data integration using HL7 standards for patient's early identification.

Authors:  Adi A AlQudah; Mostafa Al-Emran; Khaled Shaalan
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6.  ED chief complaint categories for a medical student curriculum.

Authors:  Adam R Kuykendal; Judith Tintinalli; Kevin Biese
Journal:  Int J Emerg Med       Date:  2008-06-05

7.  A pathway care model allowing low-risk patients to gain direct admission to a hospital medical ward--a pilot study on ambulance nurses and Emergency Department physicians.

Authors:  Birgitta Wireklint Sundström; Emelie Petersson; Marcus Sjöholm; Carita Gelang; Christer Axelsson; Thomas Karlsson; Johan Herlitz
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2014-12-10       Impact factor: 2.953

8.  Assessing the Physical Environment of Emergency Departments.

Authors:  Hassan Goodarzi; Hamidreza Javadzadeh; Kasra Hassanpour
Journal:  Trauma Mon       Date:  2015-11-23

9.  The French Emergency National Survey: A description of emergency departments and patients in France.

Authors:  Diane Naouri; Carlos El Khoury; Christophe Vincent-Cassy; Albert Vuagnat; Jeannot Schmidt; Youri Yordanov
Journal:  PLoS One       Date:  2018-06-14       Impact factor: 3.240

  9 in total

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