Immersive Virtual Simulation for Undergraduate Nursing Education on Migrant Mental Health: A Mixed-Methods Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Nursing graduates reported feeling unprepared to address migrants' mental health needs. Immersive virtual reality offers an innovative approach to enhance therapeutic communication, cultural competence, and humility. This study examined the acceptability of a virtual reality simulation focused on migrants with mental health challenges and its impact on students' attitudes and cultural competence. A multi-phase sequential mixed methods design was used: phase 1 involved intervention development through an integrative review and a participatory approach; phase 2 employed a one-group pre-quasi-experimental and post-quasi-experimental design; phase 3 employed an interpretive description. Students found the simulation highly acceptable, reporting significant improvements in cultural competence and modest reductions in stigma. Qualitative findings revealed 4 themes: interacting with virtual reality technology; bridging educational gaps; shifting perspectives and practice; and navigating care through lived experiences. Virtual reality shows promise for strengthening mental health nursing education and practice by addressing gaps in clinical placements and traditional teaching. Future research should expand content, improve usability and realism, assess long-term impacts, and support faculty training.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it