The DOI matches its Crossref record; 87 of the 89 references it cites were found in a registry or an index.
Virtual Simulation in Nursing Education: A Systematic Review Spanning 1996 to 2018
Open accessAbstract
STATEMENT: As virtual simulation is burgeoning, faculty and administrators are asking for evidence of its effectiveness. The objective of this systematic review was to identify how virtual simulation impacts nursing student learning outcomes. Applying the Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines, 80 studies were reviewed. Results indicate that most research (n = 69, 86%) supported virtual simulation as an effective pedagogy to support learning outcomes while highlighting gaps and areas of bias. Adding search terms could have expanded the findings. The body of evidence supports virtual simulation as an effective pedagogy. Future studies should use more robust research designs, prioritize curricular integration of virtual simulation, and determine best practices in virtual simulation methodology.
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Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & the PRISMA Group* (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-4-200908180-00135 · Cited by 37,554
Barry Issenberg, S., Mcgaghie, W. C., Petrusa, E. R., Lee Gordon, D., & Scalese, R. J. (2005) · Medical Teacher · doi:10.1080/01421590500046924 · Cited by 3,966
Critical appraisal skills programme
Singh, J. (2013) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.107697 · Cited by 2,601
Jeffries, P. R. (2005) · PubMed · Cited by 1,207
Evidence-Based Practice in Nursing and Healthcare: A Guide to Best Practice
Melnyk, B. M., & Fineout‐Overholt, E. (2004) · Medical Entomology and Zoology · Cited by 1,134
Reporting Guidelines for Health Care Simulation Research
Cheng, A., Kessler, D. O., MACKINNON, R. J., Chang, T. P., Nadkarni, V., Hunt, E. A., Duval‐Arnould, J., Lin, Y., Cook, D. A., Pusic, M. V., et al. (2016) · Simulation in Healthcare The Journal of the Society for Simulation in Healthcare · doi:10.1097/sih.0000000000000150 · Cited by 574
Cheng, A., Kessler, D. O., MACKINNON, R. J., Chang, T. P., Nadkarni, V., Hunt, E. A., Duval‐Arnould, J., Lin, Y., Cook, D. A., Pusic, M. V., et al. (2016) · Advances in Simulation · doi:10.1186/s41077-016-0025-y · Cited by 569
Intravenous catheter training system: Computer-based education versus traditional learning methods
Engum, S. A., Jeffries, P. R., & Fisher, L. (2003) · The American Journal of Surgery · doi:10.1016/s0002-9610(03)00109-0 · Cited by 248
A Call to Unify Definitions of Virtual Reality
Kardong‐Edgren, S., Farra, S. L., Alinier, G., & Young, H. M. (2019) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2019.02.006 · Cited by 247
Research works printed but not linked: 1
- 2013, Using a virtual game to enhance simulation based learning in nursing education, Singapore Nurs, 40, 21
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The Role of AI in Nursing Education and Practice: Umbrella Review
El Arab, R. A., Al Moosa, O. A., Abuadas, F. H., & Somerville, J. (2025) · Journal of Medical Internet Research · doi:10.2196/69881 · Cited by 202
“AI-driven educational tools, such as simulation platforms and VR, have shown promise in enhancing critical thinking and clinical decision-making skills, aligning with findings from Foronda et al [55], who reported that simulation technologies enhance clinical judgment.”
Virtual Simulation to Enhance Clinical Reasoning in Nursing: A Systematic Review and Meta-analysis
Sim, J. J. M., Rusli, K. D. B., Seah, B., Levett-Jones, T., Lau, Y., & Liaw, S. Y. (2022) · Clinical Simulation in Nursing · doi:10.1016/j.ecns.2022.05.006 · Cited by 171
Plackett, R., Kassianos, A. P., Mylan, S., Kambouri, M. A., Raine, R., & Sheringham, J. (2022) · BMC Medical Education · doi:10.1186/s12909-022-03410-x · Cited by 157
Chang, H., Wu, H.-F., Chang, Y.-C., Tseng, Y.-S., & Wang, Y. (2021) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2021.103948 · Cited by 157
Trends and Innovations of Simulation for Twenty First Century Medical Education
Herrera-Aliaga, E., & Estrada, L. D. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.619769 · Cited by 146
Metadata
- Authors
- Foronda, C. L., Fernandez-Burgos, M., Nadeau, C., Kelley, C. N., & Henry, M. N.
- Affiliations
- University of Miami (US)
- Venue
- Simulation in Healthcare The Journal of the Society for Simulation in Healthcare
- Published
- 2020-02
- Volume
- 15
- Issue
- 1
- Pages
- 46-54
- ISSN
- 1559-2332 (ISSN-L)
- 1559-713X
- OpenAlex
- W3004636243
- Cited by
- 505
- References
- 89
- Citations by year
- 2026: 88 · 2025: 95 · 2024: 95 · 2023: 79 · 2022: 76 · 2021: 57 · 2020: 13
- FWCI
- 7.16
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Simulation in Healthcare The Journal of the Society for Simulation in Healthcare (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Simulation-Based Education in Healthcare
- Health Sciences › Medicine › Surgery › Surgical Simulation and Training
- Social Sciences › Education › Innovations in Medical Education
- Keywords
- virtual simulation, nursing education, nursing students, learning outcomes, evidence of effectiveness, curriculum integration, simulation methods
- MeSH terms
- Simulation Training, Virtual Reality, Clinical Competence, Education, Nursing, Humans, Learning, Self Concept, Knowledge
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