Evidence map›Paper›PMID 40975762›Full record

ArticleBMC anesthesiology2025

Introducing the Safe Brain Initiative's EEG boot camp for anaesthesia for standardised training on how to use the electroencephalogram for perioperative care.

Falk von Dincklage, Janna Helfrich, Susanne Koch, Martin Soehle, Joana Berger-Estilita, Viktor Bublitz, Vincent Bonhomme, Jamie Sleigh, Gerhard Schneider, Matthias Kreuzer and 1 more

Abstract read
In one paragraph

Article in BMC anesthesiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Falk von DincklageDepartment of Anaesthesia, Intensive Care, Emergency and Pain Medicine, University Medicine Greifswald, Greifswald, Germany.
Janna HelfrichDepartment of Anaesthesiology, Yale School of Medicine, New Haven, United States.
Susanne KochDepartment of Anaesthesiology IRS, Nykøbing F. Hospital, Nykøbing Falster, Denmark.
Martin SoehleDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.
Joana Berger-EstilitaInstitute of Anaesthesiology and Intensive Care, Hirslanden Medical Group, SalemspitalBern, Switzerland.
Viktor BublitzDepartment of Anaesthesia, Intensive Care, Emergency and Pain Medicine, University Medicine Greifswald, Greifswald, Germany. vik.bublitz@gmail.com.
Vincent BonhommeDepartment of Anesthesia and Intensive Care Medicine, Liege University Hospital, Liege, Belgium.
Jamie SleighDepartment of Anaesthesiology, Waikato Clinical Campus, University of Auckland, Hamilton, New Zealand.
Gerhard SchneiderDepartment of Anaesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Matthias Kreuzer *Department of Anaesthesiology and Intensive Care, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Finn Radtke *Department of Anaesthesia, Intensive Care, Emergency and Pain Medicine, University Medicine Greifswald, Greifswald, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMonitoring the brain under general anaesthesia using the electroencephalogram (EEG) can help to optimise anaesthetic levels and improve patient outcomes. Therefore, it has been recommended by several societies and organisations. Yet, many clinicians only consider the processed indices, even though they are prone to interference and their information value is limited in many situations. To use EEG monitoring systems to their full potential, clinicians need to be able to integrate all information provided. Here, we introduce a structured teaching course and evaluate its effect on the participants' knowledge and attitudes.

methodsThe course contents were derived from learning goals, that we considered as required to leverage the full potential of the EEG monitoring systems. The course structure was built using several didactic tools to facilitate learning, including a high level of algorithmisation as well as tools for knowledge repetition, activation, and transfer. To investigate the effects of the course, we compared the participants' self-ratings of their knowledge with regard to the learning goals as well as their attitudes towards using EEG monitoring before and after the course. For this purpose, we anonymously questioned the participants of one course conducted in Greifswald/Germany in December 2023.

resultsThe ratings of 36 participants before and after the course show that participation led to a significant improvement in knowledge throughout all learning goals (paired Wilcoxon signed-rank tests, p < 0.001 for each learning goal). Self-ratings of knowledge and competence increased across all learning goals from a mean of 1.9 before the course to 4.0 after the course, rated on Likert scales between 0 ('No knowledge/competency') and 5 ('Expert knowledge/competency'). Furthermore, the attitude towards applying EEG monitoring during general anaesthesia improved significantly (paired Wilcoxon signed-rank test, p = 0.019) from 3.0 ± 1.7 to 3.8 ± 1.2 (mean ± sd), rated on a Likert scale between 0 ('never') and 5 ('always').

conclusionsWe show that the course improves the participants' self-ratings of knowledge with and attitude towards EEG monitoring. By providing teaching methods and resources with standardized contents we aim to facilitate training of the highest quality and motivating clinicians to improve anaesthesia practice, and ultimately patient outcome.

Indexed as

Anesthesia, GeneralAnesthesiologyElectroencephalographyPerioperative CareClinical CompetenceFemaleHealth Knowledge, Attitudes, PracticeHumansMaleAnaesthesiaElectroencephalogramMonitoringTraining

Identifiers

PMID40975762
PMCPMC12449795

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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.