Evidence map›Paper›PMID 37656173›Full record

ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2024

[Ultrasound diagnostics in prehospital emergency care-do we need a standardized educational approach?]

Christine Eimer, Ulf Lorenzen, Florian Reifferscheid, Nils Passau, Katharina Helzel, Alexander Schmuck, Stephan Seewald, Andrea Köser, Norbert Weiler, Holger Gässler and 3 more

Open access · hybridAbstract readEnglish Abstract
In one paragraph

Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 2 institutions in 1 country.

Christine EimerKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland. christine.eimer@uksh.de.ORCID http://orcid.org/0000-0001-8108-8742
Ulf LorenzenKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland.
Florian ReifferscheidKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland.
Nils Passauanalytix GmbH, Institut für Qualitative Marktforschung und Datenanalyse, Kiel, Deutschland.
Katharina Helzelanalytix GmbH, Institut für Qualitative Marktforschung und Datenanalyse, Kiel, Deutschland.
Alexander SchmuckKlinik für Anästhesiologie und Notfallmedizin, Ameos-Klinik Eutin, Eutin, Deutschland.
Stephan SeewaldKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland.
Andrea KöserKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland.
Norbert WeilerKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland.
Holger GässlerKlinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Bundeswehrkrankenhaus Ulm, Ulm, Deutschland.
Björn HossfeldKlinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Bundeswehrkrankenhaus Ulm, Ulm, Deutschland.
Matthias GruenewaldKlinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Christian-Albrechts-Universität Kiel, Kiel, Deutschland.
Maximilian FethKlinik für Anästhesiologie, Intensivmedizin, Notfallmedizin und Schmerztherapie, Bundeswehrkrankenhaus Ulm, Ulm, Deutschland.
Christian-Albrechts-Universität zu Kiel · DEBundeswehrkrankenhaus · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited diagnostic capabilities represent an ongoing obstacle in out-of-hospital emergency settings. Prehospital deployment of ultrasound might reduce this particular diagnostic gap. So far, little is known about the availability and usage of ultrasound in emergency medical services (EMS) or about the level of education of EMS physicians regarding prehospital ultrasound (point-of-care ultrasound, POCUS).

methodsA nationwide survey was conducted among emergency physicians in Germany focusing on POCUS education and experience.

resultsBetween 02/2022 and 05/2022, 1079 responses were registered, of which 853 complete responses were analyzed. Of the emergency physicians, 71.9% consider POCUS beneficial for out-of-hospital diagnostics and 43.8% had participated in a certified POCUS training prior to the survey. The self-evaluation of POCUS skills among emergency physicians depended significantly on their participation in a certified training (p < 0.001) and frequent ultrasound routine (p < 0.001).

conclusionThe majority of participating emergency physicians in Germany consider POCUS to improve out-of-hospital diagnostic capabilities. Participation in a certified POCUS training and frequent use of ultrasound facilitated higher self-confidence in POCUS skills.

Indexed as

Emergency Medical ServicesEmergency MedicineUltrasonographyAttitude of Health PersonnelClinical CompetenceCurriculumGermanyHumansPoint-of-Care SystemsSurveys and QuestionnairesEmergency medical services physicianEmergency sonographyPoint-of-care ultrasoundPrehospital imagingUltrasound training

Identifiers

PMID37656173
PMCPMC11058608
OpenAlexW4386347399

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.