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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Academic Emergency M...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Academic Emergency Medicine
Article . 2005 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
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Emergency Triage: Comparing a Novel Computer Triage Program with Standard Triage

Authors: Sandy L. Dong; David P. Meurer; Ian Colman; Brian H. Rowe; Brian R. Holroyd; Michael J. Bullard; Sandra Blitz;

Emergency Triage: Comparing a Novel Computer Triage Program with Standard Triage

Abstract

Emergency department (ED) triage prioritizes patients based on urgency of care; however, little previous testing of triage tools in a live ED environment has been performed.To determine the agreement between a computer decision tool and memory-based triage.Consecutive patients presenting to a large, urban, tertiary care ED were assessed in the usual fashion and by a blinded study nurse using a computerized decision support tool. Triage score distribution and agreement between the two triage methods were reported. A random subset of patients was selected and reviewed by a blinded expert panel as a consensus standard.Over five weeks, 722 ED patients were assessed; complete data were available from 693 (96%) score pairs. Agreement between the two methods was poor (kappa = 0.202; 95% confidence interval [95% CI] = 0.150 to 0.254); however, agreement improved when using weighted kappa (0.360; 95% CI = 0.305 to 0.415) or "within one" level kappa (0.732; 95% CI = 0.644 to 0.821). When compared with the expert panel, the nurse triage scores showed lower agreement (0.263; 95% CI = 0.133 to 0.394) than the tool (kappa = 0.426; 95% CI = 0.289 to 0.564). There was a significant down-triaging of patients when patients were triaged without the computerized tool. Admission rates also differed between the triage systems.There was significant discrepancy by nurses using memory-based triage when compared with a computer tool. Triage decision support tools can mitigate this drift, which has administrative implications for EDs.

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Keywords

Male, Canada, Emergency Nursing, Middle Aged, Severity of Illness Index, Outcome and Process Assessment, Health Care, Patient Admission, Humans, Female, Single-Blind Method, Prospective Studies, Triage, Decision Making, Computer-Assisted

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    80
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
80
Top 10%
Top 1%
Top 10%
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