Literature DB >> 29622470

Clinician tasking in ambulance control improves the identification of major trauma patients and pre-hospital critical care team tasking.

Neil Sinclair1, Paul A Swinton1, Michael Donald2, Lisa Curatolo1, Peter Lindle1, Steph Jones1, Alasdair R Corfield3.   

Abstract

INTRODUCTION: Trauma remains the fourth leading cause of death in western countries and is the leading cause of death in the first four decades of life. NICE guidance in 2016 advocated the attendance of pre-hospital critical care trauma team (PHCCT) in the pre-hospital stage of the care of patients with major trauma. Previous publications support dispatch by clinicians who are also actively involved in the delivery of the PHCCT service; however there is a lack of objective outcome measures across the current reviewed evidence base. In this study, we aimed to assess the accuracy of PHCCT clinician led dispatch, when measured by Injury Severity Score (ISS).
METHODS: A retrospective cohort study over a 2 year period pre and post implementation of a PHCCT clinician led dispatch of PHCCT for potential major trauma patients, using national ambulance data combined with national trauma registry data.
RESULTS: A total of 99,702 trauma related calls were made to SAS including 495 major trauma patients with an ISS >15, and a total of 454 dispatches of a PHCCT. Following the introduction of a PHCCT clinician staffed trauma desk, the sensitivity for major trauma was increased from 11.3% to 25.9%. The difference in sensitivity between the pre and post trauma desk group was significant at 14.6% (95% CI 7.4%-21.4%, p < .001). DISCUSSION: The results from the study support the results from other studies recommending that a PHCCT clinician should be located in ambulance control to identify major trauma patients as early as possible and co-ordinate the response.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Dispatch; Emergency medical services; Tasking; Trauma

Mesh:

Year:  2018        PMID: 29622470     DOI: 10.1016/j.injury.2018.03.034

Source DB:  PubMed          Journal:  Injury        ISSN: 0020-1383            Impact factor:   2.586


  4 in total

1.  Machine Learning-Based Text Analysis to Predict Severely Injured Patients in Emergency Medical Dispatch: Model Development and Validation.

Authors:  Kuan-Chen Chin; Yu-Chia Cheng; Wen-Chu Chiang; Albert Y Chen; Jen-Tang Sun; Chih-Yen Ou; Chun-Hua Hu; Ming-Chi Tsai; Matthew Huei-Ming Ma
Journal:  J Med Internet Res       Date:  2022-06-10       Impact factor: 7.076

2.  Quality indicators development and prioritisation for emergency medical call centres: a stakeholder consensus.

Authors:  Lucie Alem; Julie Bacqué; Jérémy Guihenneuc; Henri Delelis-Fanien; Olivier Mimoz; Virginie Migeot
Journal:  BMJ Open Qual       Date:  2021-05

3.  Critcomms: a national cross-sectional questionnaire based study to investigate prehospital handover practices between ambulance clinicians and specialist prehospital teams in Scotland.

Authors:  David Fitzpatrick; Michael McKenna; Edward A S Duncan; Colville Laird; Richard Lyon; Alasdair Corfield
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-06-01       Impact factor: 2.953

4.  Prehospital critical care is associated with increased survival in adult trauma patients in Scotland.

Authors:  Alistair Maddock; Alasdair R Corfield; Michael J Donald; Richard M Lyon; Neil Sinclair; David Fitzpatrick; David Carr; Stephen Hearns
Journal:  Emerg Med J       Date:  2020-01-20       Impact factor: 2.740

  4 in total

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