Literature DB >> 30327415

A simple clinical assessment is superior to systematic triage in prediction of mortality in the emergency department.

Anne Kristine Servais Iversen1, Michael Kristensen2, Rebecca Monett Østervig3, Lars Køber4, György Sölétormos5, Jakob Lundager Forberg6, Jesper Eugen-Olsen7, Lars Simon Rasmussen3, Morten Schou8, Kasper Karmark Iversen8.   

Abstract

OBJECTIVE: To compare the Danish Emergency Process Triage (DEPT) with a quick clinical assessment (Eyeball triage) as predictors of short-term mortality in patients in the emergency department (ED).
METHODS: The investigation was designed as a prospective cohort study conducted at North Zealand University Hospital. All patient visits to the ED from September 2013 to December 2013 except minor injuries were included. DEPT was performed by nurses. Eyeball triage was a quick non-systematic clinical assessment based on patient appearance performed by phlebotomists. Both triage methods categorised patients as green (not urgent), yellow, orange or red (most urgent). Primary analysis assessed the association between triage level and 30-day mortality for each triage method. Secondary analyses investigated the relation between triage level and 48-hour mortality as well as the agreement between DEPT and Eyeball triage.
RESULTS: A total of 6383 patient visits were included. DEPT was performed for 6290 (98.5%) and Eyeball triage for 6382 (~100%) of the patient visits. Only patients with both triage assessments were included. The hazard ratio (HR) for 48-hour mortality for patients categorised as yellow was 0.9 (95% CI 0.4 to 1.9) for DEPT compared with 4.2 (95% CI 1.2 to 14.6) for Eyeball triage (green is reference). For orange the HR for DEPT was 2.2 (95% CI 1.1 to 4.4) and 17.1 (95% CI 5.1 to 57.1) for Eyeball triage. For red the HR was 30.9 (95% CI 12.3 to 77.4) for DEPT and 128.7 (95% CI 37.9 to 436.8) for Eyeball triage. For 30-day mortality the HR for patients categorised as yellow was 1.7 (95% CI 1.2 to 2.4) for DEPT and 2.4 (95% CI 1.6 to 3.5) for Eyeball triage. For orange the HR was 2.6 (95% CI 1.8 to 3.6) for DEPT and 7.6 (95% CI 5.1 to 11.2) for Eyeball triage, and for red the HR was 19.1 (95% CI 10.4 to 35.2) for DEPT and 27.1 (95% CI 16.9 to 43.5) for Eyeball triage. Agreement between the two systems was poor (kappa 0.05).
CONCLUSION: Agreement between formalised triage and clinical assessment is poor. A simple clinical assessment by phlebotomists is superior to a formalised triage system to predict short-term mortality in ED patients. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2019. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  death/mortality; emergency department; emergency department operations; emergency department utilisation; triage

Mesh:

Year:  2018        PMID: 30327415     DOI: 10.1136/emermed-2016-206382

Source DB:  PubMed          Journal:  Emerg Med J        ISSN: 1472-0205            Impact factor:   2.740


  10 in total

1.  [Direct admission of patients to doctors' offices by prehospital emergency services-an effective method to relieve emergency departments? : Analysis of routine pre- and in-hospital emergency data].

Authors:  Tobias Lindner; Alessandro Campione; Martin Möckel; Cornelia Henschke; Janosch Dahmen; Anna Slagman
Journal:  Med Klin Intensivmed Notfmed       Date:  2021-09-01       Impact factor: 1.552

2.  ["Triage"-primary assessment of patients in the emergency department : An overview with a systematic review].

Authors:  M Möckel; S Reiter; T Lindner; A Slagman
Journal:  Med Klin Intensivmed Notfmed       Date:  2019-06-13       Impact factor: 0.840

3.  Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India.

Authors:  Ludvig Wärnberg Gerdin; Monty Khajanchi; Vineet Kumar; Nobhojit Roy; Makhan Lal Saha; Kapil Dev Soni; Anurag Mishra; Jyoti Kamble; Nitin Borle; Chandrika Prasad Verma; Martin Gerdin Wärnberg
Journal:  BMJ Open       Date:  2020-02-18       Impact factor: 2.692

4.  Adjusting Early Warning Score by clinical assessment: a study protocol for a Danish cluster-randomised, multicentre study of an Individual Early Warning Score (I-EWS).

Authors:  Pernille B Nielsen; Martin Schultz; Caroline Sophie Langkjaer; Anne Marie Kodal; Niels Egholm Pedersen; John Asger Petersen; Theis Lange; Michael Dan Arvig; Christian Sahlholt Meyhoff; Morten Bestle; Bibi Hølge-Hazelton; Gitte Bunkenborg; Anne Lippert; Ove Andersen; Lars Simon Rasmussen; Kasper Karmark Iversen
Journal:  BMJ Open       Date:  2020-01-07       Impact factor: 2.692

5.  Two simple replacements for the Triage Early Warning Score to facilitate the South African Triage Scale in low resource settings.

Authors:  Lucien Wasingya-Kasereka; Pauline Nabatanzi; Immaculate Nakitende; Joan Nabiryo; Teopista Namujwiga; John Kellett
Journal:  Afr J Emerg Med       Date:  2021-01-06

6.  Learning from diagnostic errors to improve patient safety when GPs work in or alongside emergency departments: incorporating realist methodology into patient safety incident report analysis.

Authors:  Alison Cooper; Andrew Carson-Stevens; Matthew Cooke; Peter Hibbert; Thomas Hughes; Faris Hussain; Aloysius Siriwardena; Helen Snooks; Liam J Donaldson; Adrian Edwards
Journal:  BMC Emerg Med       Date:  2021-11-18

7.  Clinical Effect of Nursing Based on the Kano Model in Emergency Multiple Injuries.

Authors:  Fumei Lin; Qingqin Chen; Minxia Lin; Aihui He; Huajuan Chen; Ying Chen; Hua Chen; Wenchen He; Yuanzhen Hu; Jie Wang; Xuehong Lin; Xiaomei Wang
Journal:  Evid Based Complement Alternat Med       Date:  2022-07-14       Impact factor: 2.650

8.  Development of a systematic multidisciplinary clinical and teaching model for the palliative approaches in patients with severe lung failure.

Authors:  Kristoffer Marsaa; Janni Mendahl; Steen Nielsen; Lotte Mørk; Per Sjøgren; Geana Paula Kurita
Journal:  Eur Clin Respir J       Date:  2022-08-12

9.  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

10.  Oxygen use in low-resource settings: An intervention still triggered by intuition.

Authors:  Lucien Wasingya-Kasereka; Pauline Nabatanzi; Immaculate Nakitende; Joan Nabiryo; Teopista Namujwiga; John Kellett
Journal:  Resusc Plus       Date:  2020-12-07
  10 in total

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