ArticleJournal of neuroengineering and rehabilitation2016
Concurrent validity and test-retest reliability of the Virtual Peg Insertion Test to quantify upper limb function in patients with chronic stroke.
Article in Journal of neuroengineering and rehabilitation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Assessment of Upper Limb Function Using Virtual Reality Technologies in Adults with Neurological Disorders: A Systematic Review.Neurology international · 2026Review
- Virtual reality as an assessment tool in neurorehabilitation: a scoping review of current evidence and future directions.BMC sports science, medicine & rehabilitation · 2025Article
- Evaluating eye-hand coordination with digital technologies.Scientific reports · 2025Article
- Application of Commonly Used Physical Tests in a Virtual Environment in Patients With Concussion to Patients With Various Types and Severities of Acquired Brain Injury: Prospective Cohort Method Comparison Study.Journal of medical Internet research · 2025Article
- Touchscreen-based assessment of upper limb kinematics after stroke: Reliability, validity and sensitivity to motor impairment.Journal of neuroengineering and rehabilitation · 2025Article
- A Digital Box and Block Test for Hand Dexterity Measurement: Instrument Validation Study.JMIR rehabilitation and assistive technologies · 2023Article
- Age-related differences in upper limb motor performance and intrinsic motivation during a virtual reality task.BMC geriatrics · 2023Article
- Technology-aided assessment of functionally relevant sensorimotor impairments in arm and hand of post-stroke individuals.Journal of neuroengineering and rehabilitation · 2020Observational
- An interactive motion-tracking system for home-based assessing and training reach-to-target tasks in stroke survivors-a preliminary study.Medical & biological engineering & computing · 2020Article
- Low-cost equipment for the evaluation of reach and grasp in post-stroke individuals: a pilot study.Biomedical engineering online · 2020Article
- A data-driven framework for selecting and validating digital health metrics: use-case in neurological sensorimotor impairments.NPJ digital medicine · 2020Article
- End-point kinematics using virtual reality explaining upper limb impairment and activity capacity in stroke.Journal of neuroengineering and rehabilitation · 2019Observational
- [Commercial mobile applications in the therapeutic approach to stroke: Review in main application repositories and scientific evidence].Revista espanola de salud publica · 2019Review
- A modified standardized nine hole peg test for valid and reliable kinematic assessment of dexterity post-stroke.Journal of neuroengineering and rehabilitation · 2019Article
- Motor and Perceptual Recovery in Adult Patients with Mild Intellectual Disability.Neural plasticity · 2018Article
- The Nine-Hole Peg Test as a manual dexterity performance measure for multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2017Article
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6 authors.
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Abstract
backgroundMeasuring arm and hand function of the affected side is vital in stroke rehabilitation. Therefore, the Virtual Peg Insertion Test (VPIT), an assessment combining virtual reality and haptic feedback during a goal-oriented task derived from the Nine Hole Peg Test (NHPT), was developed. This study aimed to evaluate (1) the concurrent validity of key outcome measures of the VPIT, namely the execution time and the number of dropped pegs, with the NHPT and Box and Block Test (BBT), and (2) the test-retest-reliability of these parameters together with the VPIT's additional kinetic and kinematic parameters in patients with chronic stroke. The three tests were administered on 31 chronic patients with stroke in one session (concurrent validity), and the VPIT was retested in a second session 3-7 days later (test-retest reliability). Spearman rank correlation coefficients (ρ) were calculated for assessing concurrent validity, and intraclass correlation coefficients (ICCs) were used to determine relative reliability. Bland-Altman plots were drawn and the smallest detectable difference (SDD) was calculated to examine absolute reliability.
resultsFor the 31 included patients, 11 were able to perform the VPIT solely via use of their affected arm, whereas 20 patients also had to utilize support from their unaffected arm. For n = 31, the VPIT showed low correlations with the NHPT (ρ = 0.31 for time (Tex[s]); ρ = 0.21 for number of dropped pegs (Ndp)) and BBT (ρ = -0.23 for number of transported cubes (Ntc); ρ = -0.12 for number of dropped cubes (Ndc)). The test-retest reliability for the parameters Tex[s], mean grasping force (Fggo[N]), number of zero-crossings (Nzc[1/sgo/return) and mean collision force (Fcmean[N]) were good to high, with ICCs ranging from 0.83 to 0.94. Fair reliability could be found for Fgreturn (ICC = 0.75) and trajectory error (Etrajgo[cm]) (0.70). Poor reliability was measured for Etrajreturn[cm] (0.67) and Ndp (0.58). The SDDs were: Tex = 70.2 s, Ndp = 0.4 pegs; Fggo/return = 3.5/1.2 Newton; Nzc[1/s]go/return = 0.2/1.8 zero-crossings; Etrajgo/return = 0.5/0.8 cm; Fcmean = 0.7 Newton.
conclusionsThe VPIT is a promising upper limb function assessment for patients with stroke requiring other components of upper limb motor performance than the NHPT and BBT. The high intra-subject variation indicated that it is a demanding test for this stroke sample, which necessitates a thorough introduction to this assessment. Once familiar, the VPIT provides more objective and comprehensive measurements of upper limb function than conventional, non-computerized hand assessments.
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