» Articles » PMID: 15930399

Refining Emergency Severity Index Triage Criteria

Overview
Journal Acad Emerg Med
Publisher Wiley
Specialty Emergency Medicine
Date 2005 Jun 3
PMID 15930399
Citations 20
Authors
Affiliations
Soon will be listed here.
Abstract

Objectives: The Emergency Severity Index (ESI) version 3 is a five-level triage acuity scale with demonstrated reliability and validity. Patients are rated from ESI level 1 (highest acuity) to ESI level 5 (lowest acuity). Clinical experience has demonstrated two levels of ESI level 2 patients: those who require immediate intervention and those who are stable to wait for at least ten minutes. Studies have found that few patients are rated ESI level 1, and it has been suggested that revisions to the ESI might result in appropriate reclassification of some sickest level 2 patients as level 1. The purpose of this study was to identify level 2 patients who might be reclassified as level 1 patients.

Methods: This was a multisite, prospective study. The authors identified ESI level 2 patients who required immediate, lifesaving intervention and calculated chi-square statistics and odds ratios for variables that predicted which ESI level 2 patients actually received immediate intervention.

Results: Immediate lifesaving interventions were provided for 117 (20.2%) of the 589 patients included in the study. Seventeen predictors of the need for immediate intervention were identified. The strongest predictor was the triage nurse's judgment of the need for immediate intervention, especially airway and medications.

Conclusions: Specific clinical findings at triage for a subset of ESI level 2 patients were associated with immediate delivery of lifesaving interventions. Revisions to the ESI level 1 criteria may be beneficial.

Citing Articles

Comparison of resuscitation intervention utilization in the emergency department by palliative care eligible patients between cancer and non-cancer.

Wibulpolprasert A, Wangviboonchai V, Saengprateeptong P, Chongthavonsatit N, Pongsettakul N, Prachanukool T Sci Rep. 2024; 14(1):26547.

PMID: 39489761 PMC: 11532537. DOI: 10.1038/s41598-024-77979-2.


Interpretable Deep Learning System for Identifying Critical Patients Through the Prediction of Triage Level, Hospitalization, and Length of Stay: Prospective Study.

Lin Y, Deng Y, Tsai C, Huang C, Fu L JMIR Med Inform. 2024; 12:e48862.

PMID: 38557661 PMC: 11019422. DOI: 10.2196/48862.


Predictability of the emergency department triage system during the COVID-19 pandemic.

Oh S, Lee J, Kim M, Ko D, Chung H, Park I Clin Exp Emerg Med. 2024; 11(2):195-204.

PMID: 38286510 PMC: 11237259. DOI: 10.15441/ceem.23.107.


Patient triage to specialist outpatient clinics-time to standardize terminology.

Belostotsky V, Roy M, Mikrogianakis A Paediatr Child Health. 2022; 27(5):291-296.

PMID: 36016590 PMC: 9394629. DOI: 10.1093/pch/pxab086.


Validity and Reliability of the Emergency Severity Index in a Spanish Hospital.

Cairos-Ventura L, de Las Mercedes Novo-Munoz M, Rodriguez-Gomez J, Ortega-Benitez A, Ortega-Barreda E, Aguirre-Jaime A Int J Environ Res Public Health. 2019; 16(22).

PMID: 31752212 PMC: 6888397. DOI: 10.3390/ijerph16224567.