ArticleBMC nursing2025
A scoping review of the applications of augmented reality in nursing.
Article in BMC nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Augmented Reality-Based Training for a Rapid Blood Transfusion Device Among Emergency Nurses: Randomized Controlled Trial.JMIR medical education · 2026Trial
- Improving Home Care Safety Among Informal Caregivers Through Immersive Digital Simulation: Secondary Analysis of 3 Coordinated Intervention Studies.Journal of medical Internet research · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAugmented reality (AR) can provide rich interactive experiences by integrating virtual information with the real environment, showing great potential in healthcare, especially in nursing. However, the current applications and effectiveness of AR in nursing have not been comprehensively summarized. This scoping review aims to identify existing studies on the applications of AR in nursing and evaluate its effectiveness across different domains.
methodsA scoping review was performed following the Arksey and O'Malley framework. A systematic literature search was conducted from the database inception to December 2024 in the following nine electronic databases: China National Knowledge Infrastructure, Wanfang Database, China Science and Technology Journal Database, China Biomedical Database, PubMed, Web of Science Core Collection, Cochrane Library, Embase, and Cumulative Index to Nursing and Allied Health Literature(CINAHL). Two researchers independently conducted the literature search, selection, and data extraction.
resultsThe preliminary literature search yielded 4158 articles, and 41 studies were included in the final analysis. Head-mounted displays were the most popular AR devices (n = 20). AR applications in nursing were categorized into three primary domains: nursing education, clinical nursing, and tele-nursing. Among these, 66% (27/41) of the studies explored application scenarios of AR in nursing education. Several studies included demonstrated that AR could significantly enhance participants' theoretical knowledge, critical thinking skills, self-confidence, and learning motivation (P < 0.05). It had also shown positive effects on improving patient rehabilitation exercises, alleviating preoperative anxiety, improving social behaviour of children with autism, and facilitating remote visits and guidance (P < 0.05). Participants consistently thought the AR intervention was feasible, showing a high satisfaction rate. Finally, AR remains controversial in terms of skill performance and self-regulated learning ability. Due to methodological limitations, some studies did not identify the effects of AR.
conclusionThese findings show that AR has positive applications in nursing education, clinical nursing, and remote nursing, with broad satisfaction, acceptability, and feasibility, especially in nursing education. However, existing studies remain controversial. Future studies should focus on high-quality randomized controlled trials, standardized evaluation indicators, and long-term evaluations to strengthen the evidence base for AR applications in nursing.
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.