ArticleHealthcare (Basel, Switzerland)2021
Effects of Nursing Simulation Using Mixed Reality: A Scoping Review.
Article in Healthcare (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Application of head-mounted display-based augmented and mixed reality in nursing education: a scoping review.BMC nursing · 2025Article
- Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.Sensors (Basel, Switzerland) · 2025Article
- Mixed Reality in Undergraduate Nursing Education: A Systematic Review and Meta-Analysis of Benefits and Challenges.Nursing reports (Pavia, Italy) · 2025Review
- Development and Educational Effectiveness of a Mixed Reality (MR) Program to Support Clinical Judgment in the Observation of Postoperative Patients.Healthcare (Basel, Switzerland) · 2024Article
- Integrating mixed reality preparation into acute coronary syndrome simulation for nursing students: a single-group pretest-posttest study.BMC nursing · 2024Article
- Nursing Students' Experience of Using HoloPatient During the Coronavirus Disease 2019 Pandemic: A Qualitative Descriptive Study.Clinical simulation in nursing · 2023Article
- Innovative digital technology adapted in nursing education between Eastern and Western countries: a mini-review.Frontiers in public health · 2023Review
- Digital Technologies for Children and Parents Sharing Self-Management in Childhood Chronic or Long-Term Conditions: A Scoping Review.Children (Basel, Switzerland) · 2021Article
- Correction: Kim et al. Effects of Nursing Simulation Using Mixed Reality: A Scoping Review.Healthcare (Basel, Switzerland) · 2021Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
Mixed reality (MR) has recently been suggested as a new educational tool for nursing simulation. However, few studies have assessed the use and evaluation of MR nursing simulations. Therefore, this review identified studies of MR nursing simulations through a scoping review using the framework proposed by Arksey and O'Malley. The studies reviewed were found through DBpia, RISS, PubMed, CINAHL, and Google Scholar. Each study was analyzed, and data were abstracted into publication characteristics, simulation program details, device use, and simulation evaluation. A total of 10 studies were reviewed. Senses that were mainly used in MR nursing simulation included audition and haptics via motion, in addition to visual information. Simulations were evaluated using various outcome variables. Knowledge was most commonly evaluated, followed by clinical performance and satisfaction. This study is significant as it analyzed trends in research on MR nursing simulations in Korea and other countries and suggested directions for the use of MR technology in nursing simulations based on the findings. Additional studies are required to develop scenarios for the effective use of MR in nursing education and to evaluate the effects of MR nursing simulations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.