Literature DB >> 27789231

Triage, damned triage… and statistics: Sorting out redundancy and duplication within an Emergency Department Presenting Problem Code Set to enhance research capacity.

Saartje Berendsen Russell1, Michael M Dinh2, Nerida Bell3.   

Abstract

BACKGROUND: Having a robust Emergency Department Presenting Problem Code Set (EDPPCS) is important for collecting and analysing data around Emergency Department (ED) activity, funding, bio-surveillance and research. This paper analyses the clinical utilisation of the current EDPPCS using two years worth of ED data collected as part of the larger state-wide Demand for Emergency Services Trends in Years 2010-2014 (DESTINY) project. This project proposes potential improvements in the current EDPPCS including a reduction in duplication and redundant clinical terms.
METHODS: ED presenting problem fields were abstracted from the Emergency Department Data Collection (EDCC) Registry as entered by trained triage nurses. Frequencies of presenting problems were calculated and cross referenced with the EDPPCS. These were then categorised into clinically meaningful groups.
RESULTS: There were 1,746,635million eligible ED presentations during January 2013 and December 2014 to 23 level 5 or 6 EDs. Of these, there were 64,849 unique presenting problem entries with 450 terms being used more than 100 times during the study period. Of those 450 terms, only 177 (39.3%) matched the current EDPPCS.
CONCLUSION: Future iterations of the EDPPCS should be based on the evidence presented making it shorter, more comprehensive and systematic leading to improved triage performance, usefulness in research and bio-surveillance.
Copyright © 2016 College of Emergency Nursing Australasia. Published by Elsevier Ltd. All rights reserved.

Keywords:  Emergency Department; Presenting problem; Triage

Mesh:

Year:  2016        PMID: 27789231     DOI: 10.1016/j.aenj.2016.09.004

Source DB:  PubMed          Journal:  Australas Emerg Nurs J        ISSN: 1574-6267


  2 in total

1.  Evaluating the long-term effects of a data-driven approach to reduce variation in emergency department pathology investigations: study protocol for evaluation of the NSW Health Pathology Atlas of variation.

Authors:  Craig Scowen; Nasir Wabe; Alex Eigenstetter; Robert Lindeman; Melissa Miao; Johanna I Westbrook; Andrew Georgiou
Journal:  BMJ Open       Date:  2020-10-12       Impact factor: 2.692

2.  Reduction in Ophthalmic Presentations to Australian Emergency Departments During the COVID-19 Period: Are We Seeing the Full Picture?

Authors:  Andrew W Kam; Nathan Gunasekaran; Sarah G Chaudhry; Matthew Vukasovic; Andrew J R White; Adrian T Fung
Journal:  Clin Ophthalmol       Date:  2021-01-29
  2 in total

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