Literature DB >> 26648530

Can public health registry data improve Emergency Medical Dispatch?

M S Andersen1,2,3, E F Christensen1, S B Jepsen4, J Nørtved5, J B Hansen1, S P Johnsen2.   

Abstract

BACKGROUND: Emergency Medical Dispatchers make decisions based on limited information. We aimed to investigate if adding demographic and hospitalization history information to the dispatch process improved precision.
METHODS: This 30-day follow-up study evaluated time-critical emergencies in contact with the emergency phone number 112 in Denmark during 18 months. 'Time-critical' was defined as suspected First Hour Quintet (FHQ) (cardiac arrest, chest pain, stroke, difficulty breathing, trauma). The association of age, sex, and hospitalization history with adverse outcomes was examined using logistic regression. The predictive ability was assessed via area under the curve (AUC) and Hosmer-Lemeshow tests.
RESULTS: Of 59,943 patients (median age 63 years, 45% female), 44-45.5% had at least one chronic condition, 3880 (6.47%) died the day or the day after (primary outcome) calling 112. Age 30-59 was associated with increased adjusted odds ratio (OR) of death on day 1 of 3.59 [2.88-4.47]. Male sex was associated with an increased adjusted OR of death on day 1 of 1.37 [1.28-1.47]. Previous hospitalization with nutritional deficiencies (adjusted OR 2.07 [1.47-2.92]) and severe chronic liver disease (adjusted OR 2.02 [1.57-2.59]) was associated with a higher risk of death. For trauma patients, the discriminative ability of the model showed an AUC of 0.74 for death on day 1.
CONCLUSION: Increasing age, male sex, and hospitalization history was associated with increased risk of death on day 1 for FHQ 112 callers. Additional efforts are warranted to clarify the role for risk prediction tools in emergency medical dispatch.
© 2015 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

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Year:  2015        PMID: 26648530     DOI: 10.1111/aas.12654

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  2 in total

1.  Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport.

Authors:  Kathrin Hegenberg; Heiko Trentzsch; Stephan Prückner
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

2.  Mortality and return to work in patients transported by emergency ambulance after involvement in a traffic accident.

Authors:  Kristian Bundgaard Ringgren; Elisabeth Helen Anna Mills; Erika Frischknecht Christensen; Rikke Nørmark Mortensen; Christian Torp-Pedersen; Kristian Hay Kragholm
Journal:  BMC Emerg Med       Date:  2020-11-12
  2 in total

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