Literature DB >> 20430580

Calculating kappas from adjusted data improved the comparability of the reliability of triage systems: a comparative study.

Ineke van der Wulp1, Henk F van Stel.   

Abstract

OBJECTIVES: It is difficult to compare the reliability of triage systems with the kappa statistic. In this article, a method for comparing triage systems was developed and applied to previously conducted triage reliability studies. STUDY DESIGN AND
SETTING: From simulations with theoretical distributions, the minimum, normal, and maximum weighted kappa for 3- to 5-level triage systems were computed. To compare the reliability of triage systems in previously conducted triage reliability studies, the normal kappa was calculated. Furthermore, the reported quadratically weighted kappas were compared with the minimum, normal, and maximum weighted kappa to characterize the degree and direction of skewness of the data.
RESULTS: The normal kappa was higher in 3-level triage systems (median: κ=0.84) compared with 4-level (median: κ=0.37) and 5-level (median: κ=0.57) systems. In 3-level triage systems, the percentages observed agreement were unequally distributed, which resulted in small quadratically weighted kappas. In 4- and 5-level systems, the percentages observed agreement were more equally distributed compared with 3-level systems, which resulted in higher quadratically weighted kappa values.
CONCLUSION: When comparing triage systems with different numbers of categories, one should report both the normal and quadratically weighted kappa. Calculating normal kappas from previously conducted triage reliability studies revealed substantial theoretical differences in interrater reliability of triage systems than previously reported.
Copyright © 2010 Elsevier Inc. All rights reserved.

Mesh:

Year:  2010        PMID: 20430580     DOI: 10.1016/j.jclinepi.2010.01.012

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  10 in total

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2.  Exercise guidelines for inpatients following ventricular assist device placement: a systematic review of the literature.

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Review 3.  The reliability of the Australasian Triage Scale: a meta-analysis.

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4.  [A new method for agreement evaluation based on AC1].

Authors:  Jing-Wen Zhang; Jun Xu; Sheng-Li An
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-04-20

5.  Comparison between Emergency Severity Index and Heart Failure Triage Scale in heart failure patients: A randomized clinical trial.

Authors:  Ahmad Pouyamehr; Amir Mirhaghi; Mohammad Davood Sharifi; Ali Eshraghi
Journal:  World J Emerg Med       Date:  2019

6.  A Web-Based Tool for Patient Triage in Emergency Department Settings: Validation Using the Emergency Severity Index.

Authors:  Pierre Elias; Ash Damle; Michael Casale; Kim Branson; Chaitanya Churi; Ravi Komatireddy; Jamison Feramisco
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7.  Inter-rater reliability between nurses for a new paediatric triage system based primarily on vital parameters: the Paediatric Triage Instrument (PETI).

Authors:  Jaana Karjala; Staffan Eriksson
Journal:  BMJ Open       Date:  2017-02-23       Impact factor: 2.692

8.  The reliability and accuracy of operational system data in a nationwide helicopter emergency medical services mission database.

Authors:  A Heino; T Iirola; L Raatiniemi; J Nurmi; A Olkinuora; P Laukkanen-Nevala; I Virkkunen; M Tommila
Journal:  BMC Emerg Med       Date:  2019-10-15

9.  Reliability of prehospital patient classification in helicopter emergency medical service missions.

Authors:  A Heino; P Laukkanen-Nevala; L Raatiniemi; M Tommila; J Nurmi; A Olkinuora; I Virkkunen; T Iirola
Journal:  BMC Emerg Med       Date:  2020-05-25

10.  The Reliability of the Canadian Triage and Acuity Scale: Meta-analysis.

Authors:  Amir Mirhaghi; Abbas Heydari; Reza Mazlom; Mohsen Ebrahimi
Journal:  N Am J Med Sci       Date:  2015-07
  10 in total

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