Evidence map›Paper›PMID 42558925›Full record

ArticleFrontiers in neurology

Reliability, validity, and usability of an 18-item immersive virtual reality action research arm test: a validation study in stroke survivors.

Zhipeng Pan, Hewei Wang, Yue Sun, Zhen Wei, Hongrui Liu, Jingyi Wei, Cui Yu, Xinchun Dong, Jianxia Lu, Bin Su

Abstract read
In one paragraph

Article in Frontiers in neurology. 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

10 authors.

Zhipeng Pan *School of Rehabilitation, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hewei Wang *Department of Rehabilitation, Huashan Hospital, Fudan University, Shanghai, China.
Yue SunSchool of Rehabilitation, Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhen WeiSchool of Exercise and Health, Nanjing Sport Institute, Nanjing, China.
Hongrui LiuSchool of Rehabilitation, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jingyi WeiSchool of Rehabilitation, Shandong University of Traditional Chinese Medicine, Jinan, China.
Cui YuSchool of Rehabilitation, Jiangsu Medical College, Yancheng, China.
Xinchun DongSchool of Rehabilitation, Jiangsu Medical College, Yancheng, China.
Jianxia LuSchool of Rehabilitation, Jiangsu Medical College, Yancheng, China.
Bin SuSchool of Rehabilitation, Jiangsu Medical College, Yancheng, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a leading cause of adult disability, with upper extremity hemiparesis affecting approximately 80% of survivors. While the Action Research Arm Test (ARAT) is the reference standard for assessing motor function, its clinical use is hindered by being resource-intensive and requiring standardized physical props. Virtual Reality (VR) has emerged as a promising method for automated and objective assessment. Objective: This study aimed to develop and validate an 18-item immersive VR version of the ARAT (ARAT-VR) and assess its validity, reliability, and usability among stroke survivors, healthcare professionals, and healthy controls. Methods: Thirty stroke survivors, 30 healthy controls, and eight healthcare professionals were recruited. The ARAT-VR system, developed for the PICO 4 Ultra Enterprise headset, utilizes an iToF depth sensor for controller-free optical hand tracking and retains 18 of the original 19 items. Content validity was evaluated by professionals. Concurrent validity was measured via Spearman's correlation between ARAT-VR and traditional ARAT scores. Test-retest reliability (Intraclass Correlation Coefficient, ICC) was assessed over a 7-day interval. Usability was measured using the System Usability Scale (SUS). Results: Regarding content validity, most of the 18 ARAT-VR items were rated as comparable to physical tasks specifically in visual-motor control demands (Median = 0), except for manipulating minute objects (e.g., 6 mm marbles), which was rated as more difficult (1.0 [1.0-1.0]). Regarding concurrent validity, the ARAT-VR scores for the paretic hand strongly correlated with both the 18-item traditional ARAT ( Conclusions: Initial findings suggest that the 18-item ARAT-VR possesses favorable concurrent validity, high test-retest reliability, and acceptable usability, highlighting its potential as a supplementary digital assessment tool for stroke survivors. The calculated MDC of 5.36 points offers a preliminary reference for future longitudinal monitoring. However, its readiness for routine clinical implementation remains unestablished. Further large-scale studies are necessary to validate the system across broader populations and explore hardware optimizations, such as the integration of haptic feedback.

Indexed as

ARAThand trackingreliabilitystrokeupper extremityvalidityvirtual reality

Identifiers

PMID42558925
PMCPMC13438289

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.