Literature DB >> 14525740

The emergency severity index triage algorithm version 2 is reliable and valid.

David R Eitel1, Debbie A Travers, Alexander M Rosenau, Nicki Gilboy, Richard C Wuerz.   

Abstract

OBJECTIVES: Initial studies have shown improved reliability and validity of a new triage tool, the Emergency Severity Index (ESI), over conventional three-level scales at two university medical centers. After pilot implementation and validation, the ESI was revised to include pediatric and updated vital signs criteria. The goal of this study was to assess ESI version (v.) 2 reliability and validity at seven emergency departments (EDs) in three states.
METHODS: In part 1, interrater reliability was assessed using weighted kappa analysis of written training cases and postimplementation by a random sampling of actual patient triages. In part 2, validity was analyzed using a prospective cohort with stratified random sampling at each site. The ESI was compared with outcomes including resource consumption, inpatient admission, ED length of stay, and 60-day all-cause mortality.
RESULTS: Weighted kappa analysis of interrater reliability ranged from 0.70 to 0.80 for the written scenarios (n = 3289) and 0.69 to 0.87 for patient triages (n = 386). Outcomes for the validity cohort (n = 1042) included hospitalization rates by ESI triage level: level 1, 83%; 2, 67%; 3, 42%; 4, 8%; level 5, 4%. Sixty-day all-cause mortality by triage level was as follows: level 1, 25%; 2, 4%; 3, 2%; 4, 1%; and 5, 0%.
CONCLUSIONS: ESI v. 2 triage produced reliable, valid stratification of patients across seven sites. ESI triage should be evaluated as an ED casemix identification system for uniform data collection in the United States and compared with other major ED triage methods.

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Year:  2003        PMID: 14525740     DOI: 10.1111/j.1553-2712.2003.tb00577.x

Source DB:  PubMed          Journal:  Acad Emerg Med        ISSN: 1069-6563            Impact factor:   3.451


  62 in total

1.  Supporting patient care in the emergency department with a computerized whiteboard system.

Authors:  Dominik Aronsky; Ian Jones; Kevin Lanaghan; Corey M Slovis
Journal:  J Am Med Inform Assoc       Date:  2007-12-20       Impact factor: 4.497

Review 2.  A review of the literature on the validity of mass casualty triage systems with a focus on chemical exposures.

Authors:  Joan M Culley; Erik Svendsen
Journal:  Am J Disaster Med       Date:  2014

3.  Improving Five-level Triage Form According to the Experts Viewpoint; A Qualitative Study.

Authors:  Ali Bazm; Elahe Khorasani; Manal Etemadi; Hadi Nadeali
Journal:  Bull Emerg Trauma       Date:  2015-01

4.  To score or not to score during triage in the emergency department?

Authors:  Christian Mélot
Journal:  Intensive Care Med       Date:  2015-05-14       Impact factor: 17.440

5.  Reliability of the Emergency Severity Index: Meta-analysis.

Authors:  Amir Mirhaghi; Abbas Heydari; Reza Mazlom; Farzaneh Hasanzadeh
Journal:  Sultan Qaboos Univ Med J       Date:  2015-01-21

6.  Effect of a triage course on quality of rating triage codes in a group of university nursing students:a before-after observational study.

Authors:  Nicola Parenti; Maria Letizia Bacchi Reggiani; Diego Sangiorgi; Vito Serventi; Leopoldo Sarli
Journal:  World J Emerg Med       Date:  2013

7.  Dynamic patient grouping and prioritization: a new approach to emergency department flow improvement.

Authors:  Omar M Ashour; Gül E Okudan Kremer
Journal:  Health Care Manag Sci       Date:  2014-12-09

8.  An integrated computerized triage system in the emergency department.

Authors:  Dominik Aronsky; Ian Jones; Bill Raines; Robin Hemphill; Scott R Mayberry; Melissa A Luther; Ted Slusser
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

9.  Revising expectations from rapid HIV tests in the emergency department.

Authors:  Rochelle P Walensky; Christian Arbelaez; William M Reichmann; Ron M Walls; Jeffrey N Katz; Brian L Block; Matthew Dooley; Adam Hetland; Simeon Kimmel; Jessica D Solomon; Elena Losina
Journal:  Ann Intern Med       Date:  2008-08-05       Impact factor: 25.391

10.  Does modality of survey administration impact data quality: audio computer assisted self interview (ACASI) versus self-administered pen and paper?

Authors:  William M Reichmann; Elena Losina; George R Seage; Christian Arbelaez; Steven A Safren; Jeffrey N Katz; Adam Hetland; Rochelle P Walensky
Journal:  PLoS One       Date:  2010-01-15       Impact factor: 3.240

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