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Record W4408417752 · doi:10.3389/frvir.2025.1552370

Facilitators, barriers, and impacts to implementing dementia care training for staff in long-term care settings by using fully immersive virtual reality: a scoping review

2025· review· en· W4408417752 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueFrontiers in Virtual Reality · 2025
Typereview
Languageen
FieldComputer Science
TopicVirtual Reality Applications and Impacts
Canadian institutionsUniversity of British Columbia
FundersCanada Research Chairs
KeywordsDementiaVirtual realityNursingLong-term careTerm (time)PsychologyTraining (meteorology)MedicineMedical educationComputer scienceHuman–computer interaction

Abstract

fetched live from OpenAlex

Background The increasing ageing population highlights the urgent need for enhanced dementia care training among formal caregivers. Virtual reality technology has emerged as an innovative tool to address this challenge, offering potential improvements in training outcomes. This scoping review focuses on identifying the barriers, facilitators, and impacts of implementing fully immersive VR training programs for dementia care among staff in long-term care facilities. Method The Consolidated Framework for Implementation Research informed our searching strategies and data analysis. Following the Joanna Briggs Institute methodology and PRISMA-ScR guidelines, this review included both published and unpublished studies. A systematic search of CINAHL, MEDLINE, Embase, Scopus, Web of Science, and ProQuest databases yielded 469 publications, with nine articles meeting the inclusion criteria. These studies, published in English between 2015 and 2024, involved 362 formal caregivers with a mean age ranging from 44.7 to 65 years. VR interventions were found to foster empathy (through first-person perspectives) and to help participants recognize triggers of responsive behaviors and apply solutions (via second-person and third-person perspectives). Results Most barriers and facilitators were associated with the innovation domain. The primary barriers included simulation sickness, uncomfortable headsets, and limited immersive, interactive, and embodied experiences. Key facilitators were technical advantages, highly immersive, interactive, and embodied experiences, a safe training environment, individual attributes, and the provision of orientation and support during training. The VR training programs demonstrated the potential to impact caregiving at multiple levels, including initial reactions, learning (knowledge, skills, and attitudes), behavioral changes, and broader systemic outcomes. Conclusion This scoping review maps out the current landscape of VR training for healthcare professionals. Future research should continuously improve the VR training experience by investigating the impact of VR training on dementia care outcomes, such as caregiver-resident interactions. By addressing the barriers and leveraging the facilitators, VR training can be successfully implemented to enhance the quality of care and wellbeing of residents living with dementia in long-term care homes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.901
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.044
GPT teacher head0.378
Teacher spread0.334 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it