SynthesisInternational journal of environmental research and public health2024
Mixed Reality in Clinical Settings for Pediatric Patients and Their Families: A Literature Review.
Synthesis in International journal of environmental research and public health, 2024. 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.
- "Your Digital Doctor Will Now See You": A Narrative Review of VR and AI Technology in Chronic Illness Management.Healthcare (Basel, Switzerland) · 2026Review
- A case report on the integration of the Monitored Augmented Rehabilitation System in a multidisciplinary rehabilitation program for a pediatric patient with a ruptured arteriovenous malformation.SAGE open medical case reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In the post-pandemic context, there has been an increasing demand for technology-based interventions in education and healthcare systems, such as augmented and mixed reality technologies. Despite the promising outcomes of applying mixed reality (MR), there is limited aggregated evidence focusing on child-patient interventions in hospital-based or clinical settings. This literature review aimed to identify and synthesize existing knowledge on MR technologies applied to pediatric patients in healthcare settings. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive search of the Scopus and Web of Science databases was conducted to identify articles published in the last 10 years that address the application of augmented and/or MR technologies in pediatric hospital settings or clinical environments to improve patient and family outcomes. A total of 45 articles were identified, and following a rigorous screening and eligibility process, 4 review articles were selected for qualitative synthesis. From these reviews, 10 studies with relevant interventions and measured effects were extracted. The extracted studies were analyzed based on eight key attributes: country of origin, study design, characteristics of the study population, primary clinical setting, type of MR device used, nature of the intervention, variables measured, and significant effects observed in the outcome variables. The analysis revealed diverse approaches across different clinical settings, with a common focus on improving both emotional well-being and learning outcomes in pediatric patients and their families. These findings suggest that MR-based pediatric interventions generally provide children and their parents with positive emotional experiences, enhancing both learning and treatment outcomes. However, the studies reviewed were heterogeneous and varied significantly in terms of clinical settings and MR applications. Future research should focus on developing more controlled study designs that specifically target the pediatric population to strengthen the evidence base for MR interventions in healthcare.
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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.