Literature DB >> 21785150

Criteria for cancelling helicopter emergency medical services (HEMS) dispatches.

Georgios F Giannakopoulos1, Frank W Bloemers, Wouter D Lubbers, Herman M T Christiaans, Pieternel van Exter, Elly S M de Lange-de Klerk, Wietse P Zuidema, J Carel Goslings, Fred C Bakker.   

Abstract

INTRODUCTION: In The Netherlands there is no consensus about criteria for cancelling helicopter emergency medical services (HEMS) dispatches. This study assessed the ability of the primary HEMS dispatch criteria to identify major trauma patients. The predictive power of other early prehospital parameters was evaluated to design a safe triage model for HEMS dispatch cancellations.
METHODS: All trauma-related dispatches of HEMS during a period of 6 months were included. Data concerning prehospital information and inhospital treatment were collected. Patients were divided into two groups (major and minor trauma) according to the following criteria: injury severity score 16 or greater, emergency intervention, intensive care unit admission, or inhospital death. Logistic regression analysis was used to design a prediction model for the early identification of major trauma patients.
RESULTS: In total, 420 trauma-related dispatches were evaluated, of which 155 concerned major trauma patients. HEMS was more often cancelled for minor trauma patients than for major trauma patients (57.7% vs 20.6%). Overall, HEMS dispatch criteria had a sensitivity of 87.7% and a specificity of 45.3% for identifying major trauma patients. Significant differences were found for vital sign abnormalities, anatomical components and several parameters of the mechanism of injury. A triage model designed for cancelling HEMS correctly identified major trauma patients (sensitivity 99.4%).
CONCLUSION: The accuracy of the current HEMS dispatch criteria is relatively low, resulting in high cancellation rates and low predictability for major trauma. The new HEMS cancellation triage model identified all major trauma patients with an acceptable overtriage and will probably reduce unjustified HEMS dispatches.

Entities:  

Mesh:

Year:  2011        PMID: 21785150     DOI: 10.1136/emj.2011.112896

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


  14 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.  Protocol of the DENIM study: a Delphi-procedure on the identification of trauma patients in need of care by physician-staffed Mobile Medical Teams in the Netherlands.

Authors:  Annelieke Maria Karien Harmsen; Leo Maria George Geeraedts; Georgios Fredericus Giannakopoulos; Maartje Terra; Herman Martinus Timotheus Christiaans; Lidwine Brigitta Mokkink; Frank Willem Bloemers
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2015-02-08       Impact factor: 2.953

3.  National consensus on communication in prehospital trauma care, the DENIM study.

Authors:  Annelieke Maria Karien Harmsen; Leo Maria George Geeraedts; Georgios Fredericus Giannakopoulos; Maartje Terra; Herman M T Christiaans; Lidwine Brigitta Mokkink; Frank Willem Bloemers
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2017-07-11       Impact factor: 2.953

4.  The mission characteristics of a newly implemented rural helicopter emergency medical service.

Authors:  Daniel Kornhall; Robert Näslund; Cecilia Klingberg; Regina Schiborr; Mikael Gellerfors
Journal:  BMC Emerg Med       Date:  2018-08-29

5.  The accuracy of medical dispatch - a systematic review.

Authors:  K Bohm; L Kurland
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-11-09       Impact factor: 2.953

6.  Live video footage from scene to aid helicopter emergency medical service dispatch: a feasibility study.

Authors:  E Ter Avest; E Lambert; R de Coverly; H Tucker; J Griggs; M H Wilson; A Ghorbangholi; J Williams; R M Lyon
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2019-05-08       Impact factor: 2.953

7.  Helicopter emergency medical service (HEMS) activity after increased distance to out-of-hours services: an observational study from Norway.

Authors:  Dag Ståle Nystøyl; Jo Røislien; Øyvind Østerås; Steinar Hunskaar; Hans Johan Breidablik; Erik Zakariassen
Journal:  BMC Emerg Med       Date:  2020-11-02

8.  Symptom-Based Dispatching in an Emergency Medical Communication Centre: Sensitivity, Specificity, and the Area under the ROC Curve.

Authors:  Robert Larribau; Victor Nathan Chappuis; Philippe Cottet; Simon Regard; Hélène Deham; Florent Guiche; François Pierre Sarasin; Marc Niquille
Journal:  Int J Environ Res Public Health       Date:  2020-11-09       Impact factor: 3.390

9.  Validity and risk factor analysis for helicopter emergency medical services in Japan: a pilot study.

Authors:  Noriaki Yamada; Yuichiro Kitagawa; Takahiro Yoshida; Sho Nachi; Hideshi Okada; Shinji Ogura
Journal:  BMC Emerg Med       Date:  2021-07-22

10.  A novel method of non-clinical dispatch is associated with a higher rate of critical Helicopter Emergency Medical Service intervention.

Authors:  Scott Munro; Mark Joy; Richard de Coverly; Mark Salmon; Julia Williams; Richard M Lyon
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-09-25       Impact factor: 2.953

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.