Evidence map›Paper›PMID 39748332›Full record

ArticleBMC medical education2025

The usability of a virtual reality augmented training program to teach goniometry to occupational therapy students.

Nancy A Baker, Jane O'Shanassy, Carolyn A Unsworth

Abstract read
In one paragraph

Article in BMC medical education, 2025. 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

3 authors.

Nancy A BakerDepartment of Occupational Therapy, Tufts University, Boston, USA. Nancy.Baker@tufts.edu.ORCID http://orcid.org/0000-0002-7652-6688
Jane O'ShanassyInstitute of Health and Wellbeing, Federation University, Ballarat, Australia.
Carolyn A UnsworthInstitute of Health and Wellbeing, Federation University, Ballarat, Australia.ORCID http://orcid.org/0000-0001-6430-2823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraining occupational therapy students in manual skills such as goniometry typically requires intensive one on one student teacher interactions and repetitive practice to ensure competency. There is evidence that immersive virtual reality (IVR) supported embodied learning can improve confidence and performance of skills. Embodied learning refers to learner's experience of viewing a simulated body and its properties as if they were the learner's own biological body. The aim of this proof-of-concept study was to develop and examine the usability and establish preliminary efficacy of an Embodied Goniometric Occupational Therapy Training Program (EGOTTP) to teach occupational therapy students wrist goniometry.

methodsFollowing the generation of written scripts, we used a 360-degree camera to film and create the program, with 3- levels of detailed education for six wrist goniometry measures, flexion-extension, radial-ulnar deviation and pronation-supination. Five students rated their experience using EGOTTP on measures of usability and efficacy.

resultsThe EGOTTP was developed over a 1-month period, and the participants reported good to high levels of embodiment and engagement, and their ratings suggested that the EGOTTP was easy to use with the support of an educator.

conclusionIVR training programs such as this one hold promise for teaching manual skill acquisition such as goniometry. As IVR technologies become more affordable and widespread, this approach could complement other strategies used to teach goniometry skills to students.

Indexed as

Occupational TherapyVirtual RealityArthrometry, ArticularAugmented RealityClinical CompetenceFemaleHumansMaleProof of Concept StudyCompetency-based EducationEmbodimentGoniometryImmersive Virtual RealitySimulationSpherical Video-based Virtual Reality

Identifiers

PMID39748332
PMCPMC11697938

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LicenceCC BY-NC-ND
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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.