Literature DB >> 10424913

How reliable is emergency department triage?

C M Fernandes1, R Wuerz, S Clark, O Djurdjev.   

Abstract

STUDY
OBJECTIVE: To measure interrater and intrarater agreement for an emergency department triage system.
METHODS: A 2-phase experimental study was conducted using previously described in-person scripted encounters with emergency nurses who perform patient triage and attending emergency physicians at a tertiary referral center. Standardized patient scenarios were presented twice over 6 weeks. Participants rated severity for each patient using a 5-tier triage system (nurses only) and estimated the probability of hospital admission, the most appropriate time frame to physician evaluation (5 choices, from "Immediate" to "More than 24 hours"), the need for a monitored ED bed, and the need for diagnostic services. Interrater agreement was measured by a coefficient of agreement for multiple raters and multiple categories.
RESULTS: Of the 37 participants (fewer than 90% of those eligible), 19 (51%) completed both phases (12 nurses, 7 physicians). Four (33%) of the nurses assigned the same severity ratings for the 5 cases in phase 2 as they did in phase 1. Intrarater agreement among the 12 nurses rating triage severity was.757. Interrater agreement of nurses and physicians was substantial regarding need for ED monitoring, and moderate to substantial for other triage assessments.
CONCLUSION: There was general agreement in interrater assessment of triage classification. Continued work is necessary to more fully delineate areas of variation.

Entities:  

Mesh:

Year:  1999        PMID: 10424913     DOI: 10.1016/s0196-0644(99)70248-9

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  13 in total

1.  Impact of the ABCDE triage on the number of patient visits to the emergency department.

Authors:  Jarmo Kantonen; Johanna Kaartinen; Juho Mattila; Ricardo Menezes; Mia Malmila; Maaret Castren; Timo Kauppila
Journal:  BMC Emerg Med       Date:  2010-06-03

2.  Impact of the ABCDE triage in primary care emergency department on the number of patient visits to different parts of the health care system in Espoo City.

Authors:  Jarmo Kantonen; Ricardo Menezes; Tuula Heinänen; Juho Mattila; Kari J Mattila; Timo Kauppila
Journal:  BMC Emerg Med       Date:  2012-01-04

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

Authors:  Mohsen Ebrahimi; Abbas Heydari; Reza Mazlom; Amir Mirhaghi
Journal:  World J Emerg Med       Date:  2015

4.  Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.

Authors:  Naser Kalid; A A Zaidan; B B Zaidan; Omar H Salman; M Hashim; H Muzammil
Journal:  J Med Syst       Date:  2017-12-29       Impact factor: 4.460

5.  Validity of the Manchester Triage System in paediatric emergency care.

Authors:  J Roukema; E W Steyerberg; A van Meurs; M Ruige; J van der Lei; H A Moll
Journal:  Emerg Med J       Date:  2006-12       Impact factor: 2.740

6.  Making an IMPACT on emergency department flow: improving patient processing assisted by consultant at triage.

Authors:  J Terris; P Leman; N O'Connor; R Wood
Journal:  Emerg Med J       Date:  2004-09       Impact factor: 2.740

Review 7.  Real-Time Remote Health-Monitoring Systems in a Medical Centre: A Review of the Provision of Healthcare Services-Based Body Sensor Information, Open Challenges and Methodological Aspects.

Authors:  O S Albahri; A A Zaidan; B B Zaidan; M Hashim; A S Albahri; M A Alsalem
Journal:  J Med Syst       Date:  2018-07-25       Impact factor: 4.460

8.  Framework for classifying compliance and medical immediacy among low-acuity presentations at an urban trauma center.

Authors:  Joshua G Behr; Rafael Diaz; Barry Knapp; Cynthia Kratzke
Journal:  Int J Emerg Med       Date:  2015-03-19

9.  Impact of an ABCDE team triage process combined with public guidance on the division of work in an emergency department.

Authors:  Jarmo Kantonen; Robert Lloyd; Juho Mattila; Timo Kauppila; Ricardo Menezes
Journal:  Scand J Prim Health Care       Date:  2015-05-13       Impact factor: 2.581

Review 10.  Prognosis Research Strategy (PROGRESS) 3: prognostic model research.

Authors:  Ewout W Steyerberg; Karel G M Moons; Danielle A van der Windt; Jill A Hayden; Pablo Perel; Sara Schroter; Richard D Riley; Harry Hemingway; Douglas G Altman
Journal:  PLoS Med       Date:  2013-02-05       Impact factor: 11.069

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