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Review Article: Use of Prehospital Early Warning Scores to Predict Short-Term Mortality: A Systematic Review.

aut.relation.issue3
aut.relation.journalEmerg Med Australas
aut.relation.startpagee70047
aut.relation.volume37
dc.contributor.authorNaylor, David
dc.contributor.authorDicker, Bridget
dc.contributor.authorHowie, Graham
dc.contributor.authorTodd, Verity
dc.date.accessioned2025-05-12T03:59:45Z
dc.date.available2025-05-12T03:59:45Z
dc.date.issued2025-05-02
dc.description.abstractEarly Warning Scores (EWS) have been developed to identify patients at risk of deterioration. Although the application of EWS has become increasingly established in the prehospital setting, their use remains contentious. The aim of this systematic review is to summarise the most recent evidence on the predictive accuracy of the EWS for short-term mortality in adults in the prehospital setting. A systematic search was conducted using the Medline, CINAHL, and Scopus databases. Studies that evaluated the diagnostic accuracy of the prehospital Modified Early Warning Score, National Early Warning Score or National Early Warning Score 2 in predicting mortality were included. Secondary outcomes were intensive care unit (ICU) admission and hospital admission. The review included 16 studies published between 2012 and 2023, with the number of patients totalling 311 932. The literature indicated that prehospital EWS demonstrated a moderate to good diagnostic performance in predicting short-term mortality with an area under receiver operating characteristic curve ranging from 0.68 (95% confidence interval [CI]: 0.64-0.73) to 0.90 (95% CI: 0.82-0.97). Overall, diagnostic performance was higher for predicting mortality in short time frames (up to 48 h). The need to use relatively high cut-off points to identify at-risk patients may limit its use for the unselected patient populations found in the prehospital setting. The potential for under-triage and over-triage limits their use further. EWS should not replace structured clinical evaluation and judgement but may be useful as complementary and objective tools to aid the identification of patients at risk.
dc.identifier.citationEmerg Med Australas, ISSN: 1742-6731 (Print); 1742-6723 (Online), Wiley, 37(3), e70047-. doi: 10.1111/1742-6723.70047
dc.identifier.doi10.1111/1742-6723.70047
dc.identifier.issn1742-6731
dc.identifier.issn1742-6723
dc.identifier.urihttp://hdl.handle.net/10292/19181
dc.languageeng
dc.publisherWiley
dc.relation.urihttps://onlinelibrary.wiley.com/doi/10.1111/1742-6723.70047
dc.rights© 2025 The Author(s). Emergency Medicine Australasia published by John Wiley & Sons Australia, Ltd on behalf of Australasian College for Emergency Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
dc.rights.accessrightsOpenAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectearly warning score
dc.subjectemergency service
dc.subjectmortality
dc.subjectout of hospital
dc.subjectparamedic
dc.subjectprehospital
dc.subject32 Biomedical and Clinical Sciences
dc.subject3202 Clinical Sciences
dc.subjectPatient Safety
dc.subject4.2 Evaluation of markers and technologies
dc.subjectGeneric health relevance
dc.subject3 Good Health and Well Being
dc.subject1103 Clinical Sciences
dc.subject1117 Public Health and Health Services
dc.subjectEmergency & Critical Care Medicine
dc.subject3202 Clinical sciences
dc.subject.meshHumans
dc.subject.meshEarly Warning Score
dc.subject.meshEmergency Medical Services
dc.subject.meshMortality
dc.subject.meshPredictive Value of Tests
dc.subject.meshHumans
dc.subject.meshMortality
dc.subject.meshPredictive Value of Tests
dc.subject.meshEmergency Medical Services
dc.subject.meshEarly Warning Score
dc.subject.meshHumans
dc.subject.meshEarly Warning Score
dc.subject.meshEmergency Medical Services
dc.subject.meshMortality
dc.subject.meshPredictive Value of Tests
dc.titleReview Article: Use of Prehospital Early Warning Scores to Predict Short-Term Mortality: A Systematic Review.
dc.typeJournal Article
pubs.elements-id604407

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