Evidence map›Paper›PMID 41250114›Full record

ArticleJournal of neuroengineering and rehabilitation2025

Reliability and validity of virtual reality box & block test in healthy adults and patients with stroke: a prospective, multi-center, exploratory, cross-sectional study.

Seo Jung Yun, Jung Hyun Kim, Ji Hyun Lee, Dae Eun Kim, Byung-Mo Oh, Woo Hyung Lee, Bum Sun Kwon, Han Gil Seo

Abstract readMulticenter Study
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

8 authors.

Seo Jung YunDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Jung Hyun KimDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Ji Hyun LeeDepartment of Rehabilitation Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea.
Dae Eun KimDepartment of Rehabilitation Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea.
Byung-Mo OhDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Woo Hyung LeeDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea.
Bum Sun KwonDepartment of Rehabilitation Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea. bskwon@dumc.or.kr.
Han Gil SeoDepartment of Rehabilitation Medicine, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul, 03080, Republic of Korea. hangilseo@snu.ac.kr.

Funding

K-Brain Project of the National Research Foundation (NRF) funded by the Korean government (Ministry of Science and ICT, MSIT) RS-2023-00265824Tech Incubator Program for Startup S3321406
6 · The paper itself

Abstract

backgroundVirtual reality (VR) has emerged as a promising tool, offering immersive environments, real-time feedback, and kinematic data to support both evaluation and training in rehabilitation. The Box and Block Test (BBT) is a simple yet well-validated clinical tool commonly used to assess upper extremity function. This study aimed to develop and validate two versions of the virtual reality Box & Block Test (VR-BBT) in healthy adults and patients with stroke.

methodsParticipants completed the conventional BBT as well as two versions of a VR-BBT developed for this study: a physical interaction version (VR-PI) and a non-physical interaction version (VR-N). Primary outcome measures included the number of blocks transferred in the BBT, VR-PI, and VR-N. In patients with stroke, additional kinematic parameters (e.g., movement speed and distance) from the VR-BBT were analyzed.

resultsTwenty-four healthy adults and 24 patients with stroke were enrolled. Patients with stroke scored 55.65 ± 12.04 and 27.04 ± 16.88 in BBT, 28.40 ± 12.44 and 14.19 ± 10.24 in VR-PI, and 30.69 ± 11.29 and 16.21 ± 11.92 in VR-N for the unaffected and affected hands, respectively. The VR-BBT showed strong correlations with the BBT (r = 0.841 for VR-PI, r = 0.827 for VR-N). Intraclass correlation coefficients (ICC) indicated excellent reliability (BBT = 0.982, VR-PI = 0.940, VR-N = 0.943). Correlations with FMA-UE were 0.839, 0.657, and 0.676 for BBT, VR-PI, and VR-N, respectively. The affected hand exhibited statistically significantly lower movement speed than the unaffected hand. Movement distance was greater in the affected hand than in the unaffected hand for VR-N (p = 0.046), with a similar but non-significant trend for VR-PI (p = 0.062).

conclusionsThe VR-BBT demonstrated strong reliability and validity despite differences in performance counts compared to BBT. The affected hand showed greater movement distance but lower speed, indicating inefficient motor control. These parameters were significantly associated with FMA-UE, suggesting their potential as objective markers of upper limb motor impairment. These findings suggest that the VR-BBT could serve as a complementary tool for motor function assessment, with potential applications in tele-rehabilitation and virtual reality-based rehabilitation. Trial registration KCT0009584 (Clinical Research Information Service, Republic of Korea).

Indexed as

StrokeStroke RehabilitationVirtual RealityAdultAgedBiomechanical PhenomenaCross-Sectional StudiesFemaleHumansMaleMiddle AgedProspective StudiesReproducibility of ResultsUpper ExtremityAssessmentBox & block testMovementUpper extremityVirtual reality

Identifiers

PMID41250114
PMCPMC12625187

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.