Cargando…

The difficult medical emergency call: A register-based study of predictors and outcomes

BACKGROUND: Pre-hospital emergency care requires proper categorization of emergency calls and assessment of emergency priority levels by the medical dispatchers. We investigated predictors for emergency call categorization as “unclear problem” in contrast to “symptom-specific” categories and the eff...

Descripción completa

Detalles Bibliográficos
Autores principales: Møller, Thea Palsgaard, Kjærulff, Thora Majlund, Viereck, Søren, Østergaard, Doris, Folke, Fredrik, Ersbøll, Annette Kjær, Lippert, Freddy K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333377/
https://www.ncbi.nlm.nih.gov/pubmed/28249588
http://dx.doi.org/10.1186/s13049-017-0366-0
_version_ 1782511692887883776
author Møller, Thea Palsgaard
Kjærulff, Thora Majlund
Viereck, Søren
Østergaard, Doris
Folke, Fredrik
Ersbøll, Annette Kjær
Lippert, Freddy K.
author_facet Møller, Thea Palsgaard
Kjærulff, Thora Majlund
Viereck, Søren
Østergaard, Doris
Folke, Fredrik
Ersbøll, Annette Kjær
Lippert, Freddy K.
author_sort Møller, Thea Palsgaard
collection PubMed
description BACKGROUND: Pre-hospital emergency care requires proper categorization of emergency calls and assessment of emergency priority levels by the medical dispatchers. We investigated predictors for emergency call categorization as “unclear problem” in contrast to “symptom-specific” categories and the effect of categorization on mortality. METHODS: Register-based study in a 2-year period based on emergency call data from the emergency medical dispatch center in Copenhagen combined with nationwide register data. Logistic regression analysis (N = 78,040 individuals) was used for identification of predictors of emergency call categorization as “unclear problem”. Poisson regression analysis (N = 97,293 calls) was used for examining the effect of categorization as “unclear problem” on mortality. RESULTS: “Unclear problem” was the registered category in 18% of calls. Significant predictors for “unclear problem” categorization were: age (odds ratio (OR) 1.34 for age group 76+ versus 18–30 years), ethnicity (OR 1.27 for non-Danish vs. Danish), day of week (OR 0.92 for weekend vs. weekday), and time of day (OR 0.79 for night vs. day). Emergency call categorization had no effect on mortality for emergency priority level A calls, incidence rate ratio (IRR) 0.99 (95% confidence interval (CI) 0.90–1.09). For emergency priority level B calls, an association was observed, IRR 1.26 (95% CI 1.18–1.36). DISCUSSIONS: The results shed light on the complexity of emergency call handling, but also implicate a need for further improvement. Educational interventions at the dispatch centers may improve the call handling, but also the underlying supportive tools are modifiable. The higher mortality rate for patients with emergency priority level B calls with “unclear problem categorization” could imply lowering the threshold for dispatching a high level ambulance response when the call is considered unclear. On the other hand a “benefit of the doubt” approach could hinder the adequate response to other patients in need for an ambulance as there is an increasing demand and limited resources for ambulance services. CONCLUSIONS: Age, ethnicity, day of week and time of day were significant predictors of emergency call categorization as “unclear problem”. “Unclear problem” categorization was not associated with mortality for emergency priority level A calls, but a higher mortality was observed for emergency priority level B calls.
format Online
Article
Text
id pubmed-5333377
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53333772017-03-06 The difficult medical emergency call: A register-based study of predictors and outcomes Møller, Thea Palsgaard Kjærulff, Thora Majlund Viereck, Søren Østergaard, Doris Folke, Fredrik Ersbøll, Annette Kjær Lippert, Freddy K. Scand J Trauma Resusc Emerg Med Original Research BACKGROUND: Pre-hospital emergency care requires proper categorization of emergency calls and assessment of emergency priority levels by the medical dispatchers. We investigated predictors for emergency call categorization as “unclear problem” in contrast to “symptom-specific” categories and the effect of categorization on mortality. METHODS: Register-based study in a 2-year period based on emergency call data from the emergency medical dispatch center in Copenhagen combined with nationwide register data. Logistic regression analysis (N = 78,040 individuals) was used for identification of predictors of emergency call categorization as “unclear problem”. Poisson regression analysis (N = 97,293 calls) was used for examining the effect of categorization as “unclear problem” on mortality. RESULTS: “Unclear problem” was the registered category in 18% of calls. Significant predictors for “unclear problem” categorization were: age (odds ratio (OR) 1.34 for age group 76+ versus 18–30 years), ethnicity (OR 1.27 for non-Danish vs. Danish), day of week (OR 0.92 for weekend vs. weekday), and time of day (OR 0.79 for night vs. day). Emergency call categorization had no effect on mortality for emergency priority level A calls, incidence rate ratio (IRR) 0.99 (95% confidence interval (CI) 0.90–1.09). For emergency priority level B calls, an association was observed, IRR 1.26 (95% CI 1.18–1.36). DISCUSSIONS: The results shed light on the complexity of emergency call handling, but also implicate a need for further improvement. Educational interventions at the dispatch centers may improve the call handling, but also the underlying supportive tools are modifiable. The higher mortality rate for patients with emergency priority level B calls with “unclear problem categorization” could imply lowering the threshold for dispatching a high level ambulance response when the call is considered unclear. On the other hand a “benefit of the doubt” approach could hinder the adequate response to other patients in need for an ambulance as there is an increasing demand and limited resources for ambulance services. CONCLUSIONS: Age, ethnicity, day of week and time of day were significant predictors of emergency call categorization as “unclear problem”. “Unclear problem” categorization was not associated with mortality for emergency priority level A calls, but a higher mortality was observed for emergency priority level B calls. BioMed Central 2017-03-01 /pmc/articles/PMC5333377/ /pubmed/28249588 http://dx.doi.org/10.1186/s13049-017-0366-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Original Research
Møller, Thea Palsgaard
Kjærulff, Thora Majlund
Viereck, Søren
Østergaard, Doris
Folke, Fredrik
Ersbøll, Annette Kjær
Lippert, Freddy K.
The difficult medical emergency call: A register-based study of predictors and outcomes
title The difficult medical emergency call: A register-based study of predictors and outcomes
title_full The difficult medical emergency call: A register-based study of predictors and outcomes
title_fullStr The difficult medical emergency call: A register-based study of predictors and outcomes
title_full_unstemmed The difficult medical emergency call: A register-based study of predictors and outcomes
title_short The difficult medical emergency call: A register-based study of predictors and outcomes
title_sort difficult medical emergency call: a register-based study of predictors and outcomes
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333377/
https://www.ncbi.nlm.nih.gov/pubmed/28249588
http://dx.doi.org/10.1186/s13049-017-0366-0
work_keys_str_mv AT møllertheapalsgaard thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT kjærulffthoramajlund thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT vierecksøren thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT østergaarddoris thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT folkefredrik thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT ersbøllannettekjær thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT lippertfreddyk thedifficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT møllertheapalsgaard difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT kjærulffthoramajlund difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT vierecksøren difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT østergaarddoris difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT folkefredrik difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT ersbøllannettekjær difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes
AT lippertfreddyk difficultmedicalemergencycallaregisterbasedstudyofpredictorsandoutcomes