Evidence map›Paper›PMID 42814653›Full record

ArticleJMIR pediatrics and parenting2026

Leveraging Immersive Virtual Reality to Prevent Child Injuries in the Home: Proof-of-Concept Study.

Melissa C Osborne, Lei Zhang, Allison Garefino, Reece Freeman

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Melissa C OsborneWellstar School of Nursing, Wellstar College of Health and Human Services, Kennesaw State University, 520 Parliament Garden Way NW, MD 4102, Kennesaw, GA, 30144, United States, 1 4705786061.ORCID http://orcid.org/0000-0002-5259-1880
Lei ZhangDepartment of Software Engineering and Game Development, College of Computing and Software Engineering, Kennesaw State University, Kennesaw, GA, United States.ORCID http://orcid.org/0000-0001-5806-4160
Allison GarefinoWellstar College of Health and Human Services, Kennesaw State University, Kennesaw, GA, United States.ORCID http://orcid.org/0000-0002-2565-9552
Reece FreemanDepartment of Software Engineering and Game Development, College of Computing and Software Engineering, Kennesaw State University, Kennesaw, GA, United States.ORCID http://orcid.org/0009-0002-1164-4875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Injury is the leading cause of death among US children, with over 2700 deaths due to unintentional injuries among children aged <6 years in 2023. Many of these deaths occur in the home and involve addressable safety hazards. Evidence-based parenting programs (EBPPs), in which parents work with a provider to learn parenting skills, offer an infrastructure for disseminating home safety content. However, few programs have structured modules on home safety, with most home safety education coming from printed materials or websites. Immersive virtual reality (IVR) allows participants to engage in activities in a simulated, risk-free environment. IVR's technological affordances create a training environment that supports experiential learning and helps learners internalize and transfer knowledge more effectively to real-world situations. Objective: This study aimed to (1) design an IVR home safety program for parents of children aged <6 years in line with our conceptual model, (2) obtain feedback from parents and EBPP providers on the initial design, and (3) test an initial prototype of the program with parents. Methods: The prototype was developed using human-centered design principles. The team first identified key components for program content using existing research and theory. Qualitative data were then collected from EBPP provider interviews (n=5) and focus groups with parents (n=7) regarding implementation constraints, program content, barriers/facilitators for engagement, and feedback on the use of IVR. Thematic analysis was used to identify themes from the qualitative data. The initial prototype was then pilot tested with parents of children aged <6 years (n=5). Results: The IVR program addresses knowledge and skill enhancement in three key areas: (1) home safety hazard identification, (2) hazard removal/mitigation, and (3) parental supervision. Using surveillance data, we identified leading causes of unintentional injuries in the home environment among US children aged <6 years, including sleep-related deaths, firearm injuries, and drowning. Hazards and corresponding tasks in the IVR program were developed for these leading causes. Findings from interviews with providers indicate that they are open to the use of IVR in EBPPs and envision uses for both group and individual settings. They expressed concerns about the cost of incorporating IVR into their usual programs. Parents were interested in IVR, especially if presented in brief sessions. They also noted a desire for the virtual environment to look realistic and "lived in." Conclusions: Currently, home safety information is delivered in a didactic or pamphlet-driven format in most EBPPs, which is not ideal for behavior change. This IVR home safety program will provide unique benefits in training, including (1) real-world simulations, (2) hands-on learning, (3) a risk-free environment, and (4) IVR scenario-based assessment. This study provides support for the use of IVR in engaging parents in home safety education and presents considerations for future research.

Indexed as

child healthchild safetyimmersive virtual realityinjury preventionparent behaviorparenting programsunintentional injury

Identifiers

PMID42814653
PMCPMC13626071

What OpenQuestion holds

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Registered trials

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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.