Reliability of computerized emergency triage

Acad Emerg Med. 2006 Mar;13(3):269-75. doi: 10.1197/j.aem.2005.10.014. Epub 2006 Feb 22.


Objectives: Emergency department (ED) triage prioritizes patients based on urgency of care. This study compared agreement between two blinded, independent users of a Web-based triage tool (eTRIAGE) and examined the effects of ED crowding on triage reliability.

Methods: Consecutive patients presenting to a large, urban, tertiary care ED were assessed by the duty triage nurse and an independent study nurse, both using eTRIAGE. Triage score distribution and agreement are reported. The study nurse collected data on ED activity, and agreement during different levels of ED crowding is reported. Two methods of interrater agreement were used: the linear-weighted kappa and quadratic-weighted kappa.

Results: A total of 575 patients were assessed over nine weeks, and complete data were available for 569 patients (99.0%). Agreement between the two nurses was moderate if using linear kappa (weighted kappa = 0.52; 95% confidence interval = 0.46 to 0.57) and good if using quadratic kappa (weighted kappa = 0.66; 95% confidence interval = 0.60 to 0.71). ED overcrowding data were available for 353 patients (62.0%). Agreement did not significantly differ with respect to periods of ambulance diversion, number of admitted inpatients occupying stretchers, number of patients in the waiting room, number of patients registered in two hours, or nurse perception of busyness.

Conclusions: This study demonstrated different agreement depending on the method used to calculate interrater reliability. Using the standard methods, it found good agreement between two independent users of a computerized triage tool. The level of agreement was not affected by various measures of ED crowding.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Alberta
  • Decision Making, Computer-Assisted*
  • Emergency Nursing / instrumentation
  • Emergency Service, Hospital / statistics & numerical data
  • Female
  • Humans
  • Male
  • Middle Aged
  • Observer Variation
  • Prospective Studies
  • Reproducibility of Results
  • Severity of Illness Index
  • Triage / methods*
  • Triage / standards