Evidence map›Paper›PMID 35389349›Full record

ArticleJMIR serious games2022

A Mobile-based Virtual Reality Speech Rehabilitation App for Patients With Aphasia After Stroke: Development and Pilot Usability Study.

Xiaofan Bu, Peter Hf Ng, Ying Tong, Peter Q Chen, Rongrong Fan, Qingping Tang, Qinqin Cheng, Shuangshuang Li, Andy Sk Cheng, Xiangyu Liu

Open access · goldAbstract read
In one paragraph

Article in JMIR serious games, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Xiaofan BuNursing Teaching and Research Section, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-4729-1728
Peter Hf NgDepartment of Computing, The Hong Kong Polytechnic University, Hong Kong, China.ORCID https://orcid.org/0000-0002-9671-896X
Ying TongDepartment of Rehabilitation, Brain Hospital of Hunan Province, Hunan University of Chinese Medicine, Changsha, China.ORCID https://orcid.org/0000-0001-7736-5735
Peter Q ChenDepartment of Computing, The Hong Kong Polytechnic University, Hong Kong, China.ORCID https://orcid.org/0000-0002-9055-4239
Rongrong FanNursing Teaching and Research Section, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.ORCID https://orcid.org/0000-0003-1623-6547
Qingping TangDepartment of Rehabilitation, Brain Hospital of Hunan Province, Hunan University of Chinese Medicine, Changsha, China.ORCID https://orcid.org/0000-0002-8729-1490
Qinqin ChengFaculty of Medicine, Nethersole School of Nursing, Chinese University of Hong Kong, Hong Kong, China.ORCID https://orcid.org/0000-0002-1636-3610
Shuangshuang LiDepartment of Nursing, Second Xiangya Hospital of Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-2940-4960
Andy Sk ChengDepartment of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.ORCID https://orcid.org/0000-0001-7503-5273
Xiangyu LiuDepartment of Health Service Center, Hunan Cancer Hospital/The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.ORCID https://orcid.org/0000-0002-5792-9166
Central South University · CNHong Kong Polytechnic University · HKHunan University · CNChinese University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke has the highest disability-adjusted life-years lost in any disease, and approximately one-third of the patients get aphasia. Computers and tablets are innovative and aid in intensive treatments in speech rehabilitation for patients with aphasia. However, mechanical training limits the help to patients.

objectiveThis study aims to provide a framework for an integrated virtual reality (VR) app to provide speech rehabilitation for patients with aphasia.

methodsThe content was generated through an in-depth literature review and discussion with experienced rehabilitation physicians and occupational therapists. We then conducted a 2-round Delphi study with 15 experts from hospitals and universities to rate the content using a 5-point Likert scale. The app was developed by an interdisciplinary team involving VR, medical science of rehabilitation, and therapeutic rehabilitation. Pilot usability testing of this novel app was conducted among 5 patients with aphasia, 5 healthy volunteers, 5 medical staff, and 2 VR experts.

resultsWe designed 4 modules of speech rehabilitation: oral expression, auditory comprehension, cognition, and comprehensive application. Our VR-based interactive and intelligent app was developed to provide an alternative option for patients with aphasia. Pilot usability testing revealed user satisfaction with the app.

conclusionsThis study designed and tested a novel VR-based app for speech rehabilitation specifically adapted to patients with aphasia. This will guide other studies to develop a similar program or intelligent system in a clinical setting.

Indexed as

appDelphispeech rehabilitationstrokevirtual reality

Identifiers

PMID35389349
PMCPMC9031062
OpenAlexW4224311709

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.