Evidence map›Paper›PMID 41687093›Full record

ArticleJMIR research protocols2026

Anxiety-Free Public Dentistry for Adults With Disabilities by Using Head-Mounted Virtual Reality Technology: Protocol for a Feasibility Mixed Methods Study.

Dung T Bui, Fiona McAlinden, Alice Urban, Charmine E J Hartel, Kristian Rotaru, Kadek Ananta Satriadi, Tanner Person, Wei Wang, Libby Callaway

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

9 authors.

Dung T BuiSchool of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, VIC, Australia.ORCID 0000-0002-9907-8240
Fiona McAlindenSchool of Primary and Allied Health Care, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, VIC, Australia.ORCID 0009-0003-4158-7610
Alice UrbanIntegrated Care and Dental, Peninsula Health, Frankston, VIC, Australia.ORCID 0009-0004-3056-8470
Charmine E J HartelFaculty of Business and Economics, Monash University, Caulfield, VIC, Australia.ORCID 0000-0002-2293-3640
Kristian RotaruFaculty of Business and Economics, Monash University, Caulfield, VIC, Australia.ORCID 0000-0003-2570-2044
Kadek Ananta SatriadiFaculty of Information Technology, Monash University, Clayton, VIC, Australia.ORCID 0000-0002-2230-8677
Tanner PersonFaculty of Business and Economics, Monash University, Caulfield, VIC, Australia.ORCID 0000-0002-9546-8903
Wei WangFaculty of Business and Economics, Monash University, Caulfield, VIC, Australia.ORCID 0000-0001-6280-0191
Libby CallawayNational Centre for Healthy Ageing, Faculty of Medicine, Nursing and Health Sciences, Monash University, Frankston, VIC, Australia.ORCID 0000-0002-3127-6312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral disease remains a global public health concern, disproportionately affecting socioeconomically disadvantaged populations. Adults with disabilities or health conditions face additional barriers to dental care, including physical accessibility, communication challenges, and heightened anxiety. These factors contribute to care avoidance and poorer oral health outcomes. While virtual reality (VR) has shown promise in reducing procedural anxiety in pediatric and private dental settings, its application in adult public dentistry, particularly for people with disabilities, remains underexplored.

objectiveThis study aims to evaluate the feasibility, usability, and acceptability of Smileyscope, a Therapeutic Goods Administration-approved head-mounted VR headset, in reducing dental anxiety and enhancing care experiences for adults with disabilities in public dental clinics.

methodsA mixed methods convergent design will be implemented across community dental sites in Victoria, Australia. In total, 50 adult patients and up to 10 dental staff members will be recruited. Primary feasibility indicators include recruitment rate (≥60% consent), completion rate (≥80% System Usability Scale [SUS] completion), and usability threshold (mean SUS ≥68). The primary analysis will be descriptive, with 95% CIs reported. Quantitative data will be collected using the visual analog scale for willingness, the SUS, and the technology acceptance model questionnaire. Qualitative data from semistructured interviews will be thematically analyzed. The study is co-designed with a disability advocate and integrates lived experience throughout all phases, including recruitment, evaluation, and dissemination.

resultsThe project was funded in 2025, and ethics approval was granted by Peninsula Health Human Research Ethics Committee (project ID 117565). Data collection is scheduled for October 2025 to March 2026 at the participating community dental sites. Primary feasibility estimates and qualitative themes are expected to be submitted for publication in mid‑2026.

conclusionsThis protocol outlines a feasibility study that will inform scalable models for VR integration into public dental services. The findings will contribute to improved oral health equity and patient-centered care, advancing the evidence base for inclusive digital health innovation in dentistry. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/85916.

Indexed as

Dental AnxietyDental Care for Persons with DisabilitiesPersons with DisabilitiesPublic Health DentistryVirtual RealityAdultAustraliaFeasibility StudiesFemaleHumansMaleSurveys and Questionnairesdental anxiety reductiondentistrydisabilityfeasibilityinclusive health careinnovationoral healthvirtual reality

Identifiers

PMID41687093
PMCPMC12949397

What OpenQuestion holds

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LicenceCC BY
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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.