The DOI matches its Crossref record.
Effectiveness of intermediate‐fidelity simulation training technology in undergraduate nursing education
Open accessAbstract
Aim. The aim of this paper is to present the results of a study designed to determine the effect of scenario‐based simulation training on nursing students’ clinical skills and competence. Background. Using full‐scale, realistic, medical simulation for training healthcare professionals is becoming more and more common. Access to this technology is easier than ever before with the opening of several simulation centres throughout the world and the availability on the market of more sophisticated and affordable patient simulators. However, there is little scientific evidence proving that such technology is better than more traditional techniques in the education of, for example, undergraduate nursing students. Methods. A pretest/post‐test design was employed with volunteer undergraduate students (n = 99) from second year Diploma of Higher Education in Nursing programme in United Kingdom using a 15‐station Objective Structured Clinical Examination. Students were randomly allocated to either a control or an experimental group. The experimental group, as well as following their normal curriculum, were exposed to simulation training. Subsequently, all students were re‐tested and completed a questionnaire. The data were collected between 2001 and 2003. Results. The control and experimental groups improved their performance on the second Objective Structured Clinical Examination. Mean test scores, respectively, increased by 7·18 and 14·18 percentage points. The difference between the means was statistically significant (P < 0·001). However, students’ perceptions of stress and confidence, measured on a 5‐point Likert scale, was very similar between groups at 2·9 (1, not stressful; 5, very stressful) and 3·5 (1, very confident; 5, not confident) for the control group, and 3·0 and 3·4 for the experimental group. Conclusions. Intermediate‐fidelity simulation is a useful training technique. It enables small groups of students to practise in a safe and controlled environment how to react adequately in a critical patient care situation. This type of training is very valuable to equip students with a minimum of technical and non‐technical skills before they use them in practice settings.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Simulation-Based Learning in Higher Education: A Meta-Analysis
Chernikova, O., Heitzmann, N., Stadler, M., Holzberger, D., Seidel, T., & Fischer, F. (2020) · Review of Educational Research · doi:10.3102/0034654320933544 · Cited by 1,072
Simulation‐based learning in nurse education: systematic review
Cant, R. P., & Cooper, S. J. (2010) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2009.05240.x · Cited by 984
Effectiveness of simulation-based nursing education depending on fidelity: a meta-analysis
Kim, J., Park, J.-H., & Shin, S. (2016) · BMC Medical Education · doi:10.1186/s12909-016-0672-7 · Cited by 614
Effectiveness of patient simulation in nursing education: Meta-analysis
Shin, S., Park, J.-H., & Kim, J.-H. (2015) · Nurse Education Today · doi:10.1016/j.nedt.2014.09.009 · Cited by 543
Bland, A. J., Topping, A., & Wood, B. (2011) · Nurse Education Today · doi:10.1016/j.nedt.2010.10.013 · Cited by 270
Metadata
- Authors
- Alinier, G., Hunt, B., Gordon, R., & Harwood, C.
- Venue
- Journal of Advanced Nursing
- Publisher
- Wiley
- Published
- 2006-04-21
- Volume
- 54
- Issue
- 3
- Pages
- 359-369
- ISSN
- 0309-2402 (ISSN-L)
- 1365-2648
- OpenAlex
- W2139081920
- Cited by
- 515
- References
- 0
- FWCI
- 11.57
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effectiveness of intermediate‐fidelity simulation training technology in undergraduate nursing education. https://app.cochat.ai/papers/10.1111/j.1365-2648.2006.03810.x
- The paper
- Alinier, G., Hunt, B., Gordon, R., & Harwood, C. (2006). Effectiveness of intermediate‐fidelity simulation training technology in undergraduate nursing education. Journal of Advanced Nursing. https://doi.org/10.1111/j.1365-2648.2006.03810.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.