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

OBJECTIVE: Rising emergency medical services (EMS) utilisation increases transport to hospital emergency departments (ED). However, some patients receive outpatient treatment (discharged) while others are hospitalised (admitted). The aims of this analysis were to compare admitted and discharged case...

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Autores principales: Hegenberg, Kathrin, Trentzsch, Heiko, Prückner, Stephan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773332/
https://www.ncbi.nlm.nih.gov/pubmed/31562153
http://dx.doi.org/10.1136/bmjopen-2019-030636
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author Hegenberg, Kathrin
Trentzsch, Heiko
Prückner, Stephan
author_facet Hegenberg, Kathrin
Trentzsch, Heiko
Prückner, Stephan
author_sort Hegenberg, Kathrin
collection PubMed
description OBJECTIVE: Rising emergency medical services (EMS) utilisation increases transport to hospital emergency departments (ED). However, some patients receive outpatient treatment (discharged) while others are hospitalised (admitted). The aims of this analysis were to compare admitted and discharged cases, to assess whether cases that were discharged from the ED could be identified using dispatch data and to compare dispatch keyword categories and hospital diagnoses. DESIGN: Retrospective observational study using linked secondary data. SETTING AND PARTICIPANTS: 78 303 cases brought to 1 of 14 ED in the city of Munich, Germany, by EMS between 1 July 2013 and 30 June 2014. MAIN OUTCOME MEASURES: Characteristics of admitted and discharged cases were assessed. Logistic regression was used to estimate the association between discharge and age, sex, time of day, ambulance type and dispatch keyword category. Keyword categories were compared to hospital diagnoses. RESULTS: 39.4% of cases were discharged. They were especially likely to be young (OR 10.53 (CI 9.31 to 11.92), comparing <15-year-olds to >70-year-olds) and to fall under the categories ‘accidents/trauma’ (OR 2.87 (CI 2.74 to 3.01)) or ‘other emergencies (unspecified)’ (OR 1.23 (CI 1.12 to 1.34) (compared with ‘cardiovascular’). Most frequent diagnoses came from chapter ‘injury and poisoning’ (30.1%) of the 10th revision of the international statistical classification of disease and related health problems (ICD-10), yet these diagnoses were more frequent at discharge (42.7 vs 22.0%) whereas circulatory system disease was less frequent (2.6 vs 21.8%). Except for accidents/trauma and intoxication/poisoning many underlying diagnoses were observed for the same dispatch keyword. CONCLUSION: Young age and dispatch for accidents or trauma were the strongest predictors of discharge. Even within the same dispatch keyword category the distribution of diagnoses differed between admitted and discharged cases. Discharge from the ED does not indicate that urgent response was unnecessary. However, these cases could be suitable for allocation to hospitals with low inpatient bed capacities and are of particular interest for future studies regarding the urgency of their condition.
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spelling pubmed-67733322019-10-21 Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport Hegenberg, Kathrin Trentzsch, Heiko Prückner, Stephan BMJ Open Emergency Medicine OBJECTIVE: Rising emergency medical services (EMS) utilisation increases transport to hospital emergency departments (ED). However, some patients receive outpatient treatment (discharged) while others are hospitalised (admitted). The aims of this analysis were to compare admitted and discharged cases, to assess whether cases that were discharged from the ED could be identified using dispatch data and to compare dispatch keyword categories and hospital diagnoses. DESIGN: Retrospective observational study using linked secondary data. SETTING AND PARTICIPANTS: 78 303 cases brought to 1 of 14 ED in the city of Munich, Germany, by EMS between 1 July 2013 and 30 June 2014. MAIN OUTCOME MEASURES: Characteristics of admitted and discharged cases were assessed. Logistic regression was used to estimate the association between discharge and age, sex, time of day, ambulance type and dispatch keyword category. Keyword categories were compared to hospital diagnoses. RESULTS: 39.4% of cases were discharged. They were especially likely to be young (OR 10.53 (CI 9.31 to 11.92), comparing <15-year-olds to >70-year-olds) and to fall under the categories ‘accidents/trauma’ (OR 2.87 (CI 2.74 to 3.01)) or ‘other emergencies (unspecified)’ (OR 1.23 (CI 1.12 to 1.34) (compared with ‘cardiovascular’). Most frequent diagnoses came from chapter ‘injury and poisoning’ (30.1%) of the 10th revision of the international statistical classification of disease and related health problems (ICD-10), yet these diagnoses were more frequent at discharge (42.7 vs 22.0%) whereas circulatory system disease was less frequent (2.6 vs 21.8%). Except for accidents/trauma and intoxication/poisoning many underlying diagnoses were observed for the same dispatch keyword. CONCLUSION: Young age and dispatch for accidents or trauma were the strongest predictors of discharge. Even within the same dispatch keyword category the distribution of diagnoses differed between admitted and discharged cases. Discharge from the ED does not indicate that urgent response was unnecessary. However, these cases could be suitable for allocation to hospitals with low inpatient bed capacities and are of particular interest for future studies regarding the urgency of their condition. BMJ Publishing Group 2019-09-27 /pmc/articles/PMC6773332/ /pubmed/31562153 http://dx.doi.org/10.1136/bmjopen-2019-030636 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Emergency Medicine
Hegenberg, Kathrin
Trentzsch, Heiko
Prückner, Stephan
Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
title Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
title_full Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
title_fullStr Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
title_full_unstemmed Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
title_short Differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
title_sort differences between cases admitted to hospital and discharged from the emergency department after emergency medical services transport
topic Emergency Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6773332/
https://www.ncbi.nlm.nih.gov/pubmed/31562153
http://dx.doi.org/10.1136/bmjopen-2019-030636
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