Evidence map›Paper›PMID 34682940›Full record

ArticleHealthcare (Basel, Switzerland)2021

Training with High Fidelity Simulation in the Care of Patients with Coronavirus-A Learning Experience in Native Health Care Multi-Professional Teams.

Andrés Rojo-Rojo, Maria Belén Soto-Castellón, Juan Antonio García-Méndez, César Leal-Costa, Maria Gracia Adánez-Martínez, María José Pujalte-Jesús, José Luis Díaz-Agea

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2021. 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. 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

7 authors.

Andrés Rojo-RojoFaculty of Nursing, Universidad Católica de Murcia (UCAM), Guadalupe, 30107 Murcia, Spain.
Maria Belén Soto-CastellónFaculty of Nursing, Universidad Católica de Murcia (UCAM), Guadalupe, 30107 Murcia, Spain.
Juan Antonio García-MéndezEmergency Management of the Region of Murcia, Murcia Health Service, 30005 Murcia, Spain.
César Leal-CostaFaculty of Nursing, Universidad de Murcia (UM), Campus de Espinardo, 30100 Murcia, Spain.ORCID 0000-0002-7711-3877
Maria Gracia Adánez-MartínezFaculty of Medicine, Universidad de Murcia (UM), Campus de Espinardo, 30100 Murcia, Spain.
María José Pujalte-JesúsFaculty of Nursing, Universidad Católica de Murcia (UCAM), Guadalupe, 30107 Murcia, Spain.
José Luis Díaz-AgeaFaculty of Nursing, Universidad Católica de Murcia (UCAM), Guadalupe, 30107 Murcia, Spain.ORCID 0000-0002-0818-0224

Funding

Catholic University of Murcia PMAFI-COVID19/16
6 · The paper itself

Abstract

The training of emergency and intensive care teams in technical and non-technical skills is fundamental. The general aim of this study was to evaluate the training of various professional teams with simulations based on the care of COVID-19 patients using Zone 3 simulations (native emergency medical services and intensive care units-ICU teams) in the Region of Murcia (Spain). A mixed pilot study was designed (qualitative/quantitative) comprised of three phases: Phase 1: detection of needs (focus groups), Phase 2: design of simulation scenarios, and Phase 3: training with high-fidelity simulation and evaluation of competences. The results were used to determine the real training needs of these health professionals, which were used to design four simulation scenarios in line with these needs. The team competences were evaluated before and after the training session, with increases observed after the training sessions, especially in non-technical skills such as communication. Training with zone 3 simulation, with multi-professional native emergency and intensive care teams who provided care to patients with coronavirus was shown to be an effective method, especially for training in non-technical skills. We should consider the training needs of the professionals before the start of any training program to stay one-step ahead of crisis situations.

Indexed as

coronavirusCOVID-19high fidelity simulation traininginterprofessional educationsimulation

Identifiers

PMID34682940
PMCPMC8535904

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.