Evidence map›Paper›PMID 37300239›Full record

ArticleJournal of diabetes science and technology2023

Uses and Considerations for Cinematic Virtual Reality in Health Care.

Matthew Love, Eric R Williams, John Bowditch

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2023. 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

3 authors.

Matthew LoveJ. Warren McClure School of Emerging Communication Technologies, Game Research and Immersive Design (GRID) Lab, Ohio University, Athens, OH, USA.ORCID 0000-0001-8231-0827
Eric R WilliamsJ. Warren McClure School of Emerging Communication Technologies, Game Research and Immersive Design (GRID) Lab, Ohio University, Athens, OH, USA.
John BowditchJ. Warren McClure School of Emerging Communication Technologies, Game Research and Immersive Design (GRID) Lab, Ohio University, Athens, OH, USA.ORCID 0000-0003-3295-9921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThrough the combination of virtual reality (VR) technology with techniques from theater, filmmaking, and gaming, individuals from the Game Research and Immersive Design Laboratory (GRID Lab) at Ohio University have developed an approach to train soft skills such as communication, problem-solving, teamwork, and interpersonal skills which shows great promise.

objectivesThe purpose of this article is to provide an overview of VR and cinematic-VR (cine-VR). This article serves as a preface to the VR research included in this special issue.

methodsIn this article, we define VR, review key terminology, present a case study, and offer future directions.

resultsPrior research with cine-VR has demonstrated the effectiveness in improving provider attitudes and cultural self-efficacy. While cine-VR may differ from other types of VR applications, we have been able to leverage the strengths of cine-VR to create training programs which are user friendly and highly effective. Early projects on diabetes care and opioid use disorder were sufficiently successful that the team received additional funding to pursue series addressing elder abuse/neglect and intimate partner violence. Their work has gone beyond health care and is currently being leveraged for law enforcement training as well. While this article will explore Ohio University's approach to cine-VR training, details of their research including efficacy can be found in McCalla et al, Wardian et al, and Beverly et al.

conclusionWhen produced correctly, cine-VR has the potential to become a mainstay component of training for soft skill applications across a multitude of industries.

Indexed as

Virtual RealityAgedCommunicationDelivery of Health CareHumansLaboratoriescine-VRsoft skillsstorytellingtechnologytrainingvirtual reality

Identifiers

PMID37300239
PMCPMC10563545

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.