Literature DB >> 15520712

The Australasian Triage Scale: examining emergency department nurses' performance using computer and paper scenarios.

Julie Considine1, Sandra A LeVasseur, Elmer Villanueva.   

Abstract

STUDY
OBJECTIVE: The purpose of this study is to examine emergency nurses' performance using triage scenarios characterized by type of patient population (adult versus pediatric) and mode of delivery (paper versus computer).
METHODS: A combination of paper-based (script alone) and computer-based (script plus still photographs) triage scenarios were used. Of the 28 scenarios used, half were written and half were computer based. Within each subgroup, there were 7 adult and 7 pediatric scenarios. Participants were asked to allocate an Australasian Triage Scale category for each triage scenario.
RESULTS: One hundred sixty-seven participants completed a total of 2,349 adult scenarios, and 161 participants completed 2,265 pediatric scenarios. Sixty-one percent of the triage decisions made by the nurses were "expected" triage decisions, 18% were "undertriage," decisions, and 21% were "overtriage" decisions. Nurse triage allocation decisions for the scenarios containing still photographs delivered by computer demonstrated a higher average agreement percentage of 66.2% (kappa=0.56; tau b =0.77; P <.0001) compared with the average agreement percentage of 55.4% (kappa=0.42; tau b =0.75; P <.0001) using paper-based (text-only) scenarios.
CONCLUSION: The mode of delivery appeared to have an effect on the nurses' triage performance. It is unclear whether the use of simple still photographs used in the computer mode of delivery resulted in a higher incidence of expected triage decisions and, thus, improved performance. The use of cues such as photographs and video footage to enhance the fidelity of triage scenarios may be useful not only for the education of triage nurses but also the conduct of research into triage decisionmaking. However, further exploration and research in this area are warranted.

Entities:  

Mesh:

Year:  2004        PMID: 15520712     DOI: 10.1016/j.annemergmed.2004.04.007

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


  19 in total

Review 1.  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

Review 2.  Modern triage in the emergency department.

Authors:  Michael Christ; Florian Grossmann; Daniela Winter; Roland Bingisser; Elke Platz
Journal:  Dtsch Arztebl Int       Date:  2010-12-17       Impact factor: 5.594

3.  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

4.  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

5.  Knowledge of triage in the senior medical students in Shiraz University of Medical Sciences.

Authors:  Hossein Mahmoodian; Razie Eghtesadi; Atefe Ghareghani; Parisa Nabeiei
Journal:  J Adv Med Educ Prof       Date:  2016-07

6.  The Copenhagen Triage Algorithm: a randomized controlled trial.

Authors:  Rasmus Bo Hasselbalch; Louis Lind Plesner; Mia Pries-Heje; Lisbet Ravn; Morten Lind; Rasmus Greibe; Birgitte Nybo Jensen; Lars S Rasmussen; Kasper Iversen
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-10-10       Impact factor: 2.953

7.  Predictors of patient satisfaction in an emergency care centre in central Saudi Arabia: a prospective study.

Authors:  Mostafa A Abolfotouh; Mohammed H Al-Assiri; Rabab T Alshahrani; Zainab M Almutairi; Raid A Hijazi; Ahmed S Alaskar
Journal:  Emerg Med J       Date:  2016-08-01       Impact factor: 2.740

8.  Routine blood tests are associated with short term mortality and can improve emergency department triage: a cohort study of >12,000 patients.

Authors:  Michael Kristensen; Anne Kristine Servais Iversen; Thomas Alexander Gerds; Rebecca Østervig; Jakob Danker Linnet; Charlotte Barfod; Kai Henrik Wiborg Lange; György Sölétormos; Jakob Lundager Forberg; Jesper Eugen-Olsen; Lars Simon Rasmussen; Morten Schou; Lars Køber; Kasper Iversen
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-11-28       Impact factor: 2.953

Review 9.  Reliability and validity of triage systems in paediatric emergency care.

Authors:  Mirjam van Veen; Henriette A Moll
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2009-08-27       Impact factor: 2.953

10.  Accuracy of the "traffic light" clinical decision rule for serious bacterial infections in young children with fever: a retrospective cohort study.

Authors:  Sukanya De; Gabrielle J Williams; Andrew Hayen; Petra Macaskill; Mary McCaskill; David Isaacs; Jonathan C Craig
Journal:  BMJ       Date:  2013-02-13
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