Evidence map›Paper›PMID 33477836›Full record

ArticleInternational journal of environmental research and public health2021

Nursing Students' Satisfaction: A Comparison between Medium- and High-Fidelity Simulation Training.

Ana Rosa Alconero-Camarero, Carmen María Sarabia-Cobo, María José Catalán-Piris, Silvia González-Gómez, José Rafael González-López

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Ana Rosa Alconero-CamareroDepartment of Nursing, University of Cantabria, Avenida Valdecilla, s/n, 39008 Santander, Spain.
Carmen María Sarabia-CoboDepartment of Nursing, University of Cantabria, Avenida Valdecilla, s/n, 39008 Santander, Spain.ORCID 0000-0002-7929-4042
María José Catalán-PirisDepartment of Nursing, Faculty of Nursing, Physiotherapy and Podiatry, Universidad de Sevilla, C/Avenzoar nº6, 41009 Seville, Spain.
Silvia González-GómezCantabrian Health Service, Av. Herrera Oria, s/n, 39011 Santander, Spain.
José Rafael González-LópezDepartment of Nursing, Faculty of Nursing, Physiotherapy and Podiatry, Universidad de Sevilla, C/Avenzoar nº6, 41009 Seville, Spain.ORCID 0000-0002-8962-3540

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training based on clinical simulation is an effective method of teaching in nursing. Nevertheless, there is no clear evidence about if it is better to use high- or medium-fidelity simulation. The aim is to analyse if students are more satisfied when their clinical simulation practices are based on high-fidelity simulation (HFS) or medium-fidelity simulation (MFS). Students´ satisfaction was assessed using the Satisfaction Scale Questionnaire with High-Fidelity Clinical Simulation. The sample is composed of 393 students from two Spanish Universities. Satisfaction with simulation in nursing students is significantly greater in MFS than HFS. Simulation is beneficial for learning in all its forms, but for the acquisition of basic skills, and at a lower cost, MFS proves to be effective. However, high-fidelity is not always better than medium-fidelity as this depends on the student's level of knowledge and clinical experience.

Indexed as

Clinical CompetenceHigh Fidelity Simulation TrainingPersonal SatisfactionAdultFemaleHumansLearningMaleStudents, Nursinghigh-fidelity simulation trainingnursing studentspersonal satisfactionsimulation training

Identifiers

PMID33477836
PMCPMC7832850

What OpenQuestion holds

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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.