Literature DB >> 24372354

Triage: an investigation of the process and potential vulnerabilities.

Maree Hitchcock1, Brigid Gillespie, Julia Crilly, Wendy Chaboyer.   

Abstract

AIM: To explore and describe the triage process in the Emergency Department to identify problems and potential vulnerabilities that may affect the triage process.
BACKGROUND: Triage is the first step in the patient journey in the Emergency Department and is often the front line in reducing the potential for errors and mistakes.
DESIGN: A fieldwork study to provide an in-depth appreciation and understanding of the triage process.
METHODS: Fieldwork included unstructured observer-only observation, field notes, informal and formal interviews that were conducted over the months of June, July and August 2012. Over 170 hours of observation were performed covering day, evening and night shifts, 7 days of the week. Sixty episodes of triage were observed; 31 informal interviews and 14 formal interviews were completed. Thematic analysis was used.
FINDINGS: Three themes were identified from the analysis of the data and included: 'negotiating patient flow and care delivery through the Emergency Department'; 'interdisciplinary team communicating and collaborating to provide appropriate and safe care to patients'; and 'varying levels of competence of the triage nurse'. In these themes, vulnerabilities and problems described included over and under triage, extended time to triage assessment, triage errors, multiple patients arriving simultaneously, emergency department and hospital overcrowding.
CONCLUSION: Findings suggest that vulnerabilities in the triage process may cause disruptions to patient flow and compromise care, thus potentially impacting nurses' ability to provide safe and effective care.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  emergency; emergency nursing; errors; fieldwork; nurses; patient flow; patient safety; thematic analysis; triage

Mesh:

Year:  2013        PMID: 24372354     DOI: 10.1111/jan.12304

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  9 in total

1.  Exploring the complex interactions of baseline patient factors to improve nursing triage of acute coronary syndrome.

Authors:  Stephanie O Frisch; Julissa Brown; Ziad Faramand; Jennifer Stemler; Ervin Sejdić; Christian Martin-Gill; Clifton Callaway; Susan M Sereika; Salah S Al-Zaiti
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2.  Consistency of triage scores by presenting complaint pre- and post-implementation of a real-time electronic triage decision support tool.

Authors:  Shelley L McLeod; Cameron Thompson; Bjug Borgundvaag; Lehana Thabane; Howard Ovens; Steve Scott; Tamer Ahmed; Keerat Grewal; Joy McCarron; Brooke Filsinger; Nicole Mittmann; Andrew Worster; Thomas Agoritsas; Michael Bullard; Gordon Guyatt
Journal:  J Am Coll Emerg Physicians Open       Date:  2020-04-21

3.  Accuracy of Emergency Room Triage Using Emergency Severity Index (ESI): Independent Predictor of Under and Over Triage.

Authors:  Khalifa Rashid; Maaz Ullah; Syed T Ahmed; Muhammad Z Sajid; Muhammad A Hayat; Bakht Nawaz; Kiran Abbas
Journal:  Cureus       Date:  2021-12-07

4.  Developing and Validating an Emergency Triage Model Using Machine Learning Algorithms with Medical Big Data.

Authors:  ZhenZhen Gao; Xuan Qi; XingTing Zhang; XinZhen Gao; XinHua He; ShuBin Guo; Peng Li
Journal:  Risk Manag Healthc Policy       Date:  2022-08-19

5.  An updated national survey of triage and triage related work in Sweden: a cross-sectional descriptive and comparative study.

Authors:  Sara C Wireklint; Carina Elmqvist; Katarina E Göransson
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2021-07-03       Impact factor: 2.953

6.  Accuracy of emergency department triage using the Emergency Severity Index and independent predictors of under-triage and over-triage in Brazil: a retrospective cohort analysis.

Authors:  Jeremiah S Hinson; Diego A Martinez; Paulo S K Schmitz; Matthew Toerper; Danieli Radu; James Scheulen; Sarah A Stewart de Ramirez; Scott Levin
Journal:  Int J Emerg Med       Date:  2018-01-15

7.  Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

Authors:  Tadahiro Goto; Carlos A Camargo; Mohammad Kamal Faridi; Robert J Freishtat; Kohei Hasegawa
Journal:  JAMA Netw Open       Date:  2019-01-04

8.  Risk of mortality and cardiopulmonary arrest in critical patients presenting to the emergency department using machine learning and natural language processing.

Authors:  Marta Fernandes; Rúben Mendes; Susana M Vieira; Francisca Leite; Carlos Palos; Alistair Johnson; Stan Finkelstein; Steven Horng; Leo Anthony Celi
Journal:  PLoS One       Date:  2020-04-02       Impact factor: 3.240

9.  A perception survey on the roles of nurses during triage in a selected public hospital in Kwazulu-Natal Province, South Africa.

Authors:  Olunike Blessing Olofinbiyi; Makhosazane Dube; Euphemia Mbali Mhlongo
Journal:  Pan Afr Med J       Date:  2020-09-02
  9 in total

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