Evidence map›Paper›PMID 37131165›Full record

ArticleBMC public health2023

Changes in emergency department utilisation in Germany before and during different phases of the COVID-19 pandemic, using data from a national surveillance system up to June 2021.

Madlen Schranz, T Sonia Boender, Timo Greiner, Theresa Kocher, Birte Wagner, Felix Greiner, Jonas Bienzeisler, Michaela Diercke, Linus Grabenhenrich, AKTIN-Research Group and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

15 citing papers in PubMed, 22 citations in OpenAlex.

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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

12 authors at 5 institutions in 1 country.

Madlen SchranzDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. schranzm@rki.de.
T Sonia BoenderDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Timo GreinerDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Theresa KocherDepartment for Methods Development, Research Infrastructure and Information Technology, Robert Koch Institute, Berlin, Germany.
Birte WagnerDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Felix GreinerDepartment of Trauma Surgery, Otto von Guericke University Magdeburg, Magdeburg, Germany.
Jonas BienzeislerInstitute of Medical Informatics, Medical Faculty, RWTH Aachen University, Aachen, Germany.
Michaela DierckeDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Linus GrabenhenrichDepartment for Methods Development, Research Infrastructure and Information Technology, Robert Koch Institute, Berlin, Germany.
AKTIN-Research Group
Annette Aigner *Charité - Universitätsmedizin Berlin, Institute of Biometry and Clinical Epidemiology, Berlin, Germany.
Alexander Ullrich *Department for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Robert Koch Institute · DEOtto-von-Guericke University Magdeburg · DEFreie Universität Berlin · DERWTH Aachen University · DEZimmer Biomet (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic and associated public health and social measures, decreasing patient numbers have been described in various healthcare settings in Germany, including emergency care. This could be explained by changes in disease burden, e.g. due to contact restrictions, but could also be a result of changes in utilisation behaviour of the population. To better understand those dynamics, we analysed routine data from emergency departments to quantify changes in consultation numbers, age distribution, disease acuity and day and hour of the day during different phases of the COVID-19 pandemic.

methodsWe used interrupted time series analyses to estimate relative changes for consultation numbers of 20 emergency departments spread throughout Germany. For the pandemic period (16-03-2020 - 13-06-2021) four different phases of the COVID-19 pandemic were defined as interruption points, the pre-pandemic period (06-03-2017 - 09-03-2020) was used as the reference.

resultsThe most pronounced decreases were visible in the first and second wave of the pandemic, with changes of - 30.0% (95%CI: - 32.2%; - 27.7%) and - 25.7% (95%CI: - 27.4%; - 23.9%) for overall consultations, respectively. The decrease was even stronger for the age group of 0-19 years, with - 39.4% in the first and - 35.0% in the second wave. Regarding acuity levels, consultations assessed as urgent, standard, and non-urgent showed the largest decrease, while the most severe cases showed the smallest decrease.

conclusionsThe number of emergency department consultations decreased rapidly during the COVID-19 pandemic, without extensive variation in the distribution of patient characteristics. Smallest changes were observed for the most severe consultations and older age groups, which is especially reassuring regarding concerns of possible long-term complications due to patients avoiding urgent emergency care during the pandemic.

Indexed as

COVID-19Emergency Medical ServicesAdolescentAdultAgedChildChild, PreschoolEmergency Service, HospitalGermanyHumansInfantInfant, NewbornPandemicsYoung AdultCOVID-19 pandemicEmergency departmentInterrupted time series analysesPublic health and social measuresRoutine dataSyndromic surveillance

Identifiers

PMID37131165
PMCPMC10152015
OpenAlexW4367678430

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.