Literature DB >> 16374246

How does fast track affect quality of care in the emergency department?

Ayad Al Darrab1, Jerome Fan, Christopher M B Fernandes, Rosanne Zimmerman, Rhonda Smith, Andrew Worster, Teresa Smith, Kelly O'Connor.   

Abstract

STUDY
OBJECTIVES: Use of fast track has been shown to improve the emergency department flow of less urgent patients. It has been speculated, however, that this could negatively affect the care of urgent patients. The objective of this study was to determine whether a dedicated fast track for less urgent patients [Canadian Triage and Acuity scale category 4/5 (CTAS 4/5)] affected (1) the time to assessment for urgent patients (CTAS 3), (2) the length of stay for less urgent patients (CTAS 4 and 5), and (3) the left-without-being-seen rate.
METHODS: In June 2003, fast track was opened in our emergency department from 13:00 to 19:00 h. A before-after intervention comparison analysis was completed for 1 week in Aug 2002 and the same week in Aug 2003. Data collected included (1) time to assessment of CTAS 3 patients, (2) the length of stay for CTAS 4/5 patients, and (3) percentage of patients who left without being seen.
RESULTS: A total of 368 patients were reviewed for 2002 and 380 patients were reviewed for 2003. Median time to assessment of CTAS 3 patients presenting from 13:00 to 19:00 h was reduced from 66 min (Interquartile range: 40, 94 min) in 2002 to 60 min (IQR: 38, 108 min) after fast track was open in 2003 (P = 0.95). Median length of stay of CTAS 4 and 5 patients was reduced from 170 min (IQR: 111, 256 min) to 110 min (IQR: 69, 185 min) (P < 0.001). The overall left-without-being-seen rate decreased from 5% (20/368) to 2% (9/380).
CONCLUSION: A dedicated fast track for CTAS 4/5 patients can reduce the length of stay and the left-without-being-seen rate with no impact on CTAS 3 patients seen in the main emergency department.

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Mesh:

Year:  2006        PMID: 16374246     DOI: 10.1097/00063110-200602000-00008

Source DB:  PubMed          Journal:  Eur J Emerg Med        ISSN: 0969-9546            Impact factor:   2.799


  9 in total

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2.  A Queue-Based Monte Carlo Analysis to Support Decision Making for Implementation of an Emergency Department Fast Track.

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

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  9 in total

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