Evidence map›Paper›PMID 35162546›Full record

ArticleInternational journal of environmental research and public health2022

Virtual Reality Aided Therapy towards Health 4.0: A Two-Decade Bibliometric Analysis.

Zhen Liu, Lingfeng Ren, Chang Xiao, Ke Zhang, Peter Demian

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Metaverse-Related and Immersive Digital Technologies in Neurorehabilitation: A Scoping Review.Archives of rehabilitation research and clinical translation · 2026
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  20. [The application scenarios study on the intervention of cognitive decline in elderly population using metaverse technology].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
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

5 authors.

Zhen LiuSchool of Design, South China University of Technology, Guangzhou 510006, China.ORCID 0000-0001-6548-4403
Lingfeng RenSchool of Design, South China University of Technology, Guangzhou 510006, China.
Chang XiaoSchool of Design, South China University of Technology, Guangzhou 510006, China.
Ke ZhangSchool of Design, South China University of Technology, Guangzhou 510006, China.
Peter DemianSchool of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK.ORCID 0000-0001-8391-8690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health 4.0 aligns with Industry 4.0 and encourages the application of the latest technologies to healthcare. Virtual reality (VR) is a potentially significant component of the Health 4.0 vision. Though VR in health care is a popular topic, there is little knowledge of VR-aided therapy from a macro perspective. Therefore, this paper was aimed to explore the research of VR in aiding therapy, thus providing a potential guideline for futures application of therapeutic VR in healthcare towards Health 4.0. A mixed research method was adopted for this research, which comprised the use of a bibliometric analysis (a quantitative method) to conduct a macro overview of VR-aided therapy, the identification of significant research structures and topics, and a qualitative review of the literature to reveal deeper insights. Four major research areas of VR-aided therapy were identified and investigated, i.e., post-traumatic stress disorder (PTSD), anxiety and fear related disorder (A&F), diseases of the nervous system (DNS), and pain management, including related medical conditions, therapies, methods, and outcomes. This study is the first to use VOSviewer, a commonly used software tool for constructing and visualizing bibliometric networks and developed by Center for Science and Technology Studies, Leiden University, the Netherlands, to conduct bibliometric analyses on VR-aided therapy from the perspective of Web of Science core collection (WoSc), which objectively and visually shows research structures and topics, therefore offering instructive insights for health care stakeholders (particularly researchers and service providers) such as including integrating more innovative therapies, emphasizing psychological benefits, using game elements, and introducing design research. The results of this paper facilitate with achieving the vision of Health 4.0 and illustrating a two-decade (2000 to year 2020) map of pre-life of the Health Metaverse.

Indexed as

Virtual RealityVirtual Reality Exposure TherapyAnxietyAnxiety DisordersBibliometricsHumansanxiety and fear related disorder (A&F)bibliometricdiseases of the nervous system (DNS)Health 4.0health careHealth Metaversepain managementpost-traumatic stress disorder (PTSD)therapyvirtual realityVOSviewer

Identifiers

PMID35162546
PMCPMC8834834

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.