Evidence map›Paper›PMID 40275323›Full record

ArticleBMC nursing2025

Analysis of high-fidelity simulation effects and their connection with educational practices in early nursing education.

Agata Wojcieszek, Anna Kurowska, Aldona Wróbel, Iwona Bodys-Cupak, Alicja Kamińska, Anna Majda

Abstract read
In one paragraph

Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Agata WojcieszekDepartment of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery Faculty of Health Sciences, Jagiellonian University Medical College, Cracow, Poland. agata.wojcieszek@uj.edu.pl.
Anna KurowskaDepartment of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery Faculty of Health Sciences, Jagiellonian University Medical College, Cracow, Poland.
Aldona WróbelDepartment of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery Faculty of Health Sciences, Jagiellonian University Medical College, Cracow, Poland.
Iwona Bodys-CupakDepartment of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery Faculty of Health Sciences, Jagiellonian University Medical College, Cracow, Poland.
Alicja KamińskaDepartment of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery Faculty of Health Sciences, Jagiellonian University Medical College, Cracow, Poland.
Anna MajdaDepartment of Theory and Fundamentals of Nursing, Institute of Nursing and Midwifery Faculty of Health Sciences, Jagiellonian University Medical College, Cracow, Poland.

Funding

Jagiellonian University Collegium Medicum N43/DBS/000253
6 · The paper itself

Abstract

backgroundLiterature confirms the tangible educational benefits of participating in high-fidelity simulation exercises. However, the final assessment of such sessions is always a combination of the teacher's actions, the project, the technical infrastructure, and the student. The aim of this study was to evaluate and conduct a comparative analysis of high-fidelity simulation sessions regarding applied educational practices, satisfaction levels, and self-confidence among nursing students at a university located in a major academic center in southern Poland.

methodsThis cross-sectional study was conducted in May and June during the 2021/2022, 2022/2023, and 2023/2024 academic years on a group of 422 first-year undergraduate nursing students. Data from 412 students who participated in high-fidelity simulation sessions were analyzed. The study employed a custom questionnaire, the Educational Practice Questionnaire (EPQ), and the Student Satisfaction and Self-Confidence in Learning Scale (SSCL). The study used Spearman's correlation coefficient, Kruskal-Wallis test, Dunn's post-hoc analysis and multivariate linear regression. A significance level of p < 0.05 was adopted.

resultsThe students rated the attractiveness of the sessions, the development of competencies, and the conducted debriefing relatively highly (average score above 4). Statistically significant differences were found between academic years in the assessment of social competencies acquired (p = 0.008) and the evaluation of debriefing elements as a summary method (p = 0.009). Students indicated that collaboration (M = 4.81; SD = 0.44) was present in the proposed educational method and considered it the most valuable aspect (M = 4.59; SD = 0.66). A positive correlation (r > 0) was noted between the development of knowledge (r = 0.389, p < 0.001), practical skills (r = 0.44, p < 0.001), and social skills (r = 0.401, p < 0.001) and satisfaction. There was also a positive correlation (r > 0) between the applied techniques during simulation and the level of self-confidence in the learning process (p < 0.05). The applied multiple regression models identified the aspects of the sessions that had a direct and unimpeded impact on nursing students' sense of satisfaction and self-confidence. These aspects included, among others, active learning and diverse learning methods.

conclusionsThis study confirmed the justification for organizing high-fidelity simulation sessions for nursing students due to the overall benefits for the student (in terms of satisfaction and increased self-confidence), the institution (student satisfaction with the university's educational offerings), and the profession (high perception of increased nursing competencies).

Indexed as

Educational practicesHigh-fidelity simulationNursingSatisfactionSelf-confidenceStudents

Identifiers

PMID40275323
PMCPMC12023673

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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.