Evidence map›Paper›PMID 37107765›Full record

ArticleInternational journal of environmental research and public health2023

Metaverse for Exercise Rehabilitation: Possibilities and Limitations.

Kyoung-Hwan Cho, Jeong-Beom Park, Austin Kang

Open access · goldAbstract readConsensus Statement
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.8field-weighted citation impact, top 4% of its field
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

4 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
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 at 2 institutions in 1 country.

Kyoung-Hwan ChoDepartment of Special Physical Education, Daelim University College, Anyang 13916, Republic of Korea.
Jeong-Beom ParkDepartment of Special Physical Education, Daelim University College, Anyang 13916, Republic of Korea.
Austin KangDepartment of Medicine, Seoul National University, Seoul 08826, Republic of Korea.ORCID 0000-0003-4768-8220
Daelim University College · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to obtain a consensus agreement from an expert panel on the metaverse for exercise rehabilitation in stroke patients using the Delphi technique.

methodsThis study recruited twenty-two experts and conducted three rounds of online surveys between January and February 2023. The Delphi consensus technique was performed online to review and evaluate the framework module. A panel of experts, including scholars, physicians, physical therapists, and physical education specialists in the Republic of Korea, was invited to participate in this study. For each round, the expert consensus was defined as more than 90% of the expert panel agreeing or strongly agreeing with the proposed items.

resultsA total of twenty experts completed the three Delphi rounds. First, virtual reality-assisted (VR) treadmill walking could improve cognitive function, concentration, muscular endurance, stroke prevention, proper weight maintenance, and cardiorespiratory function. Second, related technology, safety, price, place, and securing experts would be obstacles or challenges in VR-assisted treadmill walking for stroke patients. Third, the role of exercise instructors in exercise planning, performance, and assessment for VR-assisted treadmill walking is equally important, and reeducation for them is required. Fourth, VR-assisted treadmill walking for stroke patients requires an exercise intensity of at least five times a week, about one hour each time.

conclusionsThis study showed that the metaverse for exercise rehabilitation for stroke patients could be successfully developed and would be feasible to be implemented in the future. However, it would have limitations in terms of technology, safety, price, place, and expert factors to be overcome in the future.

Indexed as

StrokeStroke RehabilitationDelphi TechniqueExercise TherapyForecastingHumansWalkingDelphimetaverserehabilitationstroke

Identifiers

PMID37107765
PMCPMC10138806
OpenAlexW4365449113

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.