Evidence map›Paper›PMID 30940157›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2019

Use of pre-hospital emergency medical services in urban and rural municipalities over a 10 year period: an observational study based on routinely collected dispatch data.

Kathrin Hegenberg, Heiko Trentzsch, Stefan Gross, Stephan Prückner

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Observational
  7. Observational
  8. Article
  9. Emergency call utilization over a 10-years period: an observational study in Region Zealand, Denmark, 2013-2022.Scandinavian journal of trauma, resuscitation and emergency medicine · 2024
    Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. [Utilization of pre-hospital emergency medical services: Secondary data analysis of health insurance data from Saxony-Anhalt].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023
    Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Kathrin HegenbergInstitut für Notfallmedizin und Medizinmanagement, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany. Kathrin.Hegenberg@med.uni-muenchen.de.ORCID http://orcid.org/0000-0003-1820-5947
Heiko TrentzschInstitut für Notfallmedizin und Medizinmanagement, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.
Stefan GrossInstitut für Notfallmedizin und Medizinmanagement, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.
Stephan PrücknerInstitut für Notfallmedizin und Medizinmanagement, Klinikum der Universität München, Ludwig-Maximilians-Universität München, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPre-hospital emergency medical services (EMS) are an integral part of emergency medical care. EMS planning can be achieved by analyzing patterns of use. However, long-term time trends of EMS use have rarely been studied. The objective of this retrospective study was to investigate utilization patterns over a ten year period, and to compare utilization trends between urban and rural municipalities and between events with and without prehospital emergency physician (PEP) dispatch.

methodsRoutine data collected by 26 dispatch centers in the federal state of Bavaria, Germany, from 2007 to 2016 was analyzed. Emergency locations were classified into five levels of rurality. Negative binomial mixed effects regression models were fitted to predict emergency rates and to investigate differences in rates and utilization trends. Graphical representation methods were used to compare distribution of transport rates and distribution across daytime and weekday.

resultsTwelve million two hundred thousand one hundred fifty-five dispatches assigned to 7,725,636 single emergencies were included. The mean number of emergencies per year and 1000 population (emergency rate) was 42.8 (±16.0) in rural municipalities and 80.7 (±9.3) in large cities. Compared to rural municipalities, cities had higher emergency rates without (IRR = 3.0, CI 2.2-4.0) and with pre-hospital physicians (IRR = 1.5, CI 1.2-2.0). Between 2007 and 2016, the absolute number of emergencies increased by 49.1%. Estimated annual percent change of emergency rates without physician activation ranged from 5.7% (CI 4.3-7.1) in cities to 7.8% (CI 7.6-7.9) in rural areas. Changes in emergency rates with physician attendance were lower, with estimated increases between 1.3 and 2.4%. The average proportion of patients transported to a hospital was lower in cities and remained unchanged. There were no considerable differences or changes in the distribution across daytime and weekdays.

conclusionDifferences between cities and other areas suggest that the planning of EMS should be targeted to regional characteristics. A substantial increase in emergency rates was observed across all areas of Bavaria, but did not impact transport rates or temporal distributions. Further research is needed to better understand the urgency of emergency events and reasons behind increasing EMS utilization.

Indexed as

Emergency Medical ServicesGermanyHumansRetrospective StudiesRural PopulationTransportation of PatientsUrban PopulationEmergency medical dispatchEpidemiologyHealth services usePre-hospital emergency medical services

Identifiers

PMID30940157
PMCPMC6444540

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.