Evidence map›Paper›PMID 31562153›Full record

Observational studyBMJ open2019

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

Kathrin Hegenberg, Heiko Trentzsch, Stephan Prückner

Abstract readObservational Study
In one paragraph

Observational study in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Prehospital misdiagnosis of acute cerebral disease for acute coronary syndrome: a retrospective study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2022
    Article
  8. Article
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kathrin HegenbergInstitut für Notfallmedizin und Medizinmanagement, Ludwig-Maximilians-Universitat München, Klinikum der Universität München, Munchen, Germany kathrin.hegenberg@med.uni-muenchen.de.ORCID 0000-0003-1820-5947
Heiko TrentzschInstitut für Notfallmedizin und Medizinmanagement, Ludwig-Maximilians-Universitat München, Klinikum der Universität München, Munchen, Germany.ORCID 0000-0002-6395-6873
Stephan PrücknerInstitut für Notfallmedizin und Medizinmanagement, Ludwig-Maximilians-Universitat München, Klinikum der Universität München, Munchen, Germany.ORCID 0000-0002-5128-7625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRising 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.

designRetrospective observational study using linked secondary data. SETTING AND

participants78 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 measuresCharacteristics 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.

results39.4% 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.

conclusionYoung 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.

Indexed as

AdolescentAdultAgedAge DistributionChildEmergenciesEmergency Service, HospitalFemaleGermanyHospitalizationHumansMaleMiddle AgedPatient DischargeRetrospective StudiesYoung AdultEmergency departmentEmergency medical servicespre-hospitalresource allocationutilisation

Identifiers

PMID31562153
PMCPMC6773332

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.