Evidence map›Paper›PMID 40646461›Full record

Trial reportBMC medical education2025

Impact of a short training on the recognition of excessively deep chest compressions during video-assisted cardiopulmonary resuscitation: a randomized controlled simulation trial.

Jonas Paul Schulte, Martin Klasen, Michael Schauwinhold, Jörg Christian Brokmann, Christopher Plata

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jonas Paul SchulteDepartment for Acute and Emergency Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074, Aachen, Germany.
Martin KlasenDepartment of Anesthesiology, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074, Aachen, Germany.
Michael SchauwinholdDepartment of Anesthesiology, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074, Aachen, Germany.
Jörg Christian BrokmannDepartment for Acute and Emergency Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074, Aachen, Germany.
Christopher PlataDepartment for Acute and Emergency Medicine, Medical Faculty, RWTH Aachen University, Pauwelsstrasse 30, 52074, Aachen, Germany. cplata@ukaachen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe early commencement of effective resuscitation is of fundamental importance for the survival of individuals experiencing out-of-hospital cardiac arrest. In such circumstances, video-assisted guidance by the dispatcher has been demonstrated to be advantageous for the recognition of cardiac arrest and the improvement of CPR quality. The present study investigates the effectiveness of a brief training program for control center dispatchers in the recognition of common errors during simulated resuscitation.

methodsThe study was approved by the local ethics committee and registered at the German Clinical Trial Register on 27th of February 2024 (Registration number: DRKS00032661) prior to inclusion of the first participant. Within a two-armed group study design, paramedics and emergency physicians were randomly assigned to either an experimental group (n = 44) or a control group (n = 44). The experimental group was initially exposed to a targeted brief training aimed at enhancing the recognition of excessively deep chest compression depth. All participants evaluated 42 distinct video sequences showing seven typical errors during CPR. The shown CPRs were simulated on a training manikin and the videos were evaluated by the participants under laboratory conditions. The primary endpoint was the accurate evaluation of the presented videos with too deep compression depth in a laboratory setting.

resultsA total of 3696 video sequences were evaluated. The experimental group demonstrated a significantly higher recognition rate for too deep chest compressions compared to the control group (87.9% vs. 59.2%, p < 0.001). With regard to the remaining errors, no significant differences were observed between the study groups. Overall, 2861 of the 3696 videos (77.7%) were correctly classified. The proportion of correctly classified videos was significantly higher in the experimental group compared to the control group (79.8% vs. 75.6%, p = 0.003), indicating a statistically significant effect of the intervention.

conclusionThe identification of chest compressions with too deep compression depth in a video of simulated CPR was found to increase significantly in evaluators who had undergone a brief training course.

trial registrationThe trial was registered in the German Clinical Trial Register "BfArM - Deutsches Register Klinischer Studien (DRKS)" under the registration number DRKS00032661.

Indexed as

Cardiopulmonary ResuscitationOut-of-Hospital Cardiac ArrestSimulation TrainingAdultClinical CompetenceFemaleGermanyHumansMaleManikinsVideo RecordingBystander CPRLayperson CPRResuscitationVA-CPRV-CPRVideo-assisted cardiopulmonary resuscitationVideo-CPR

Identifiers

PMID40646461
PMCPMC12247412

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.