Evidence map›Paper›PMID 34840352›Full record

ArticleRevista espanola de anestesiologia y reanimacion2023

[Simulation in healthcare during COVID-19: An experience with residents in Anaesthesiology].

L M Laurens, J Bañeras, A Biarnés, S Nuñez

Abstract readEnglish Abstract
In one paragraph

Article in Revista espanola de anestesiologia y reanimacion, 2023. 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

4 authors.

L M LaurensServicio de Anestesiología, Reanimación y Tratamiento del Dolor, Vall d'Hebron Hospital Universitari, Barcelona, España.
J BañerasServicio de Cardiología, Vall d'Hebron centre Simulació Clínica Avançada (VH_Centre de Simulació Clínica Avançada), Direcció de Docència, Vall d'Hebron Hospital Universitari, Barcelona, España.
A BiarnésServicio de Anestesiología, Reanimación y Tratamiento del Dolor, Vall d'Hebron centre Simulació Clínica Avançada (VH_Centre de Simulació Clínica Avançada), Vall d'Hebron Hospital Universitari, Barcelona, España.
S NuñezServicio de Anestesiología, Reanimación y Tratamiento del Dolor, Vall d'Hebron centre Simulació Clínica Avançada (VH_Centre de Simulació Clínica Avançada), Vall d'Hebron Hospital Universitari, Barcelona, España.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The restrictions to stop COVID-19 pandemic have had a negative impact in simulation. However, it is imperative to develop new strategies that facilitate healthcare education. Objective: To describe a simulation in healthcare based on the learning of non-technical skills and performed under the restrictions of COVID-19 pandemic. Methods: Quasi-experimental study of an educational activity performed through simulation with Anaesthesiology residents in November 2020. Twelve residents participated in 2 consecutive days. A questionnaire was filled related to the performance of non-technical skills that encompasses leadership, teamwork and decision making. The complexity of the scenarios and the non-technical skills results obtained between the 2 days were analysed. Advantages and challenges were documented when a clinical simulation is performed under COVID-19 restrictions. Results: The global performance of the teams improved when comparing first and second day (79.5 vs. 88.6%, Conclusion: Clinical simulation can be done in the context of COVID-19 pandemic, obtaining satisfactory learning results but requiring the adaptation of institutions to the new challenges it implies.

Indexed as

COVID-19EducationPandemicSimulation training

Identifiers

PMID34840352
PMCPMC8610838

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.