Evidence map›Paper›PMID 37193989›Full record

Observational studyBMC medicine2023

Increasing emergency number utilisation is not driven by low-acuity calls: an observational study of 1.5 million emergency calls (2018-2021) from Berlin.

David Herr, Sangeeta Bhatia, Florian Breuer, Stefan Poloczek, Christopher Pommerenke, Janosch Dahmen

Abstract readObservational Study
In one paragraph

Observational study in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  10. Cleared to land? A nationwide analysis of emergency care hospital and HEMS infrastructure in Germany.Scandinavian journal of trauma, resuscitation and emergency medicine · 2025
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  19. 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
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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

6 authors.

David HerrFaculty of Medicine, School of Public Health, Imperial College London, South Kensington Campus, London, SW7 2 AZ, UK. david.herr19@alumni.imperial.ac.uk.ORCID 0000-0003-1966-1848
Sangeeta BhatiaMRC Centre for Global Infectious Disease Analysis, School of Public Health, Jameel Institute, Imperial College London, London, UK.
Florian BreuerEmergency Medical Services Director, Rhine-Berg District, Office for Fire Protection and Emergency Medical Service, Bergisch Gladbach, Germany.ORCID 0009-0004-9830-4092
Stefan PoloczekOffice of the Medical Director, Emergency Medical Services, Berlin, Germany.ORCID 0000-0003-3418-9764
Christopher PommerenkeOffice of the Medical Director, Emergency Medical Services, Berlin, Germany.ORCID 0000-0002-8286-8596
Janosch DahmenFaculty of Health, Department of Medicine, Witten/Herdecke University, Witten, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Emergency Medical Service (EMS) in Germany is increasingly challenged by strongly rising demand. Speculations about a greater utilisation for minor cases have led to intensive media coverage, but empirical evidence is lacking. We investigated the development of low-acuity calls from 2018 to 2021 in the federal state of Berlin and its correlations with sociodemographic characteristics.

methodsWe analysed over 1.5 million call documentations including medical dispatch codes, age, location and time using descriptive and inferential statistics and multivariate binary logistic regression. We defined a code list to classify low-acuity calls and merged the dataset with sociodemographic indicators and data on population density.

resultsThe number of emergency calls (phone number 112 in Germany) increased by 9.1% from 2018 to 2021; however, the proportion of low-acuity calls did not increase. The regression model shows higher odds of low-acuity for young to medium age groups (especially for age 0-9, OR 1.50 [95% CI 1.45-1.55]; age 10-19, OR 1.77 [95% CI 1.71-1.83]; age 20-29, OR 1.64 [95% CI 1.59-1.68] and age 30-39, OR 1.40 [95% CI 1.37-1.44]; p < 0.001, reference group 80-89) and for females (OR 1.12 [95% CI 1.1-1.13], p < 0.001). Odds were slightly higher for calls from a neighbourhood with lower social status (OR 1.01 per index unit increase [95% CI 1.0-1.01], p < 0.05) and at the weekend (OR 1.02 [95% CI 1.0-1.04, p < 0.05]). No significant association of the call volume with population density was detected.

conclusionsThis analysis provides valuable new insights into pre-hospital emergency care. Low-acuity calls were not the primary driver of increased EMS utilisation in Berlin. Younger age is the strongest predictor for low-acuity calls in the model. The association with female gender is significant, while socially deprived neighbourhoods play a minor role. No statistically significant differences in call volume between densely and less densely populated regions were detected. The results can inform the EMS in future resource planning.

Indexed as

EmergenciesEmergency Medical ServicesAdolescentAdultBerlinChildChild, PreschoolEmergency Service, HospitalFemaleGermanyHumansInfantInfant, NewbornRetrospective StudiesYoung Adult112999AmbulanceEmergency callsEmergency Medical ServiceEmergency medicineLow-acuityOverload

Identifiers

PMID37193989
PMCPMC10186279

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.