Evidence map›Paper›PMID 40533068›Full record

SynthesisJMIR nursing2025

Effect of an Extended Reality Simulation Intervention on Midwifery Students' Anxiety: Systematic Review.

Clara Pérez de Los Cobos Cintas, Nicolas Vuillerme, Guillaume Thomann, Lionel Di Marco

Abstract readSystematic Review
In one paragraph

Synthesis in JMIR nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Clara Pérez de Los Cobos Cintas *Laboratoire des Sciences pour la Conception, l'Optimisation et la Production, 46 Av. Félix Viallet, Grenoble, 38000, France, 33 04 76 57 50 71.ORCID 0009-0009-3887-0064
Nicolas Vuillerme *Autonomie, Gérontologie, E-santé, Imagerie et Société, 2Univ.Grenoble Alpes, AGEIS, Grenoble, France.ORCID 0000-0003-3773-393X
Guillaume Thomann *Laboratoire des Sciences pour la Conception, l'Optimisation et la Production, 46 Av. Félix Viallet, Grenoble, 38000, France, 33 04 76 57 50 71.ORCID 0000-0001-7676-6262
Lionel Di Marco *Autonomie, Gérontologie, E-santé, Imagerie et Société, 2Univ.Grenoble Alpes, AGEIS, Grenoble, France.ORCID 0000-0002-5666-5517

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Midwifery students often experience anxiety due to several factors, such as the clinical experiences faced. Simulation-based learning in nursing and midwifery studies using extended reality (XR) tools offers the opportunity to manage better educational processes while reducing this anxiety. Objective: This study aims to evaluate the current knowledge and understanding of how the use of XR gesture-simulation-based tools allows a better understanding of the anxiety levels of midwives and nurses in educational settings. Methods: We conducted a systematic review, a scientific literature search following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Using PubMed, IEEE, Scopus, and Web of Science, up to March 2024, 1005 articles were found to identify studies that reported the effectiveness of these technologies for gesture simulation in education and training on nursing and midwifery student anxiety. The inclusion-exclusion criteria were based on the PICO (population, intervention, control, and outcomes) framework. The population included nurses, midwives, and nursing and midwifery students of any kind using any virtual or augmented or mixed reality simulation training tool to perform a procedure aimed at reducing anxiety. In addition, the Cochrane risk of bias tool was used to evaluate the quality of the systematic review and the bias in the included studies. A narrative synthesis was conducted due to the heterogeneity of study designs and outcome measures. Key findings were summarized in a structured table and grouped according to the learning objective, simulating and performing procedures in an educational setting. Results: Overall, 7 articles, involving a total of 428 participants, were included in this review. The findings indicate that XR can effectively reduce anxiety in midwifery and nursing education. However, the limited number of studies highlights a research gap in the field, particularly in the area of mixed reality, which warrants further exploration. Conclusions: This systematic review highlights the potential of XR-based gesture-simulation tools in reducing anxiety among midwifery and nursing students. The included studies suggest that XR-enhanced training provides a more immersive and controlled learning environment, helping students manage stress and improve procedural confidence. However, the limited number of studies, methodological variations, and the underrepresentation of mixed reality applications indicate the need for further research. Future studies should focus on standardized anxiety measurement tools, larger sample sizes, and long-term impact assessments to strengthen the evidence base. Expanding research in this field could enhance the integration of XR technologies into midwifery and nursing education, ultimately improving both learning experiences and clinical preparedness.

Indexed as

AnxietyMidwiferySimulation TrainingStudents, NursingVirtual RealityAdultFemaleHumansanxietyextended realitygesture simulationmidwifery educationnursing education

Identifiers

PMID40533068
PMCPMC12195622

What OpenQuestion holds

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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.