ReviewJMIR rehabilitation and assistive technologies2022
Remote Assessments of Hand Function in Neurological Disorders: Systematic Review.
Review in JMIR rehabilitation and assistive technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 citations in OpenAlex.
- Systematic review and meta-analysis of the effectiveness of rehabilitation interventions on upper limb function in patients with systemic sclerosis.Frontiers in medicine · 2026Pooled it
- Behaviorally Informed Interventions to Promote Activity in the Home and Community for Adults With Neurological Disorders: A Systematic Review and Meta-Analysis.Physical therapy · 2025Pooled it
- Smartphone-Based Hand Function Assessment: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Evidence-based position paper on Physical and Rehabilitation Medicine (PRM) professional practice on telerehabilitation. The European PRM position (UEMS PRM Section).European journal of physical and rehabilitation medicine · 2024Pooled it
- In-clinic validation of a smartphone-based finger tapping test for use in neurodegenerative and neurological populations.medRxiv : the preprint server for health sciences · 2026Article
- Associations Between Smartphone-Based Finger Tapping and Cognitive Performance in Older Adults: Observational Study.Journal of medical Internet research · 2026Observational
- Tremor management strategies in Parkinson's disease: optimizing patient care.Neurodegenerative disease management · 2026Review
- Smartphone self-testing of hand and speech motor functions: a study of reliability and usability in older adults.GeroScience · 2026Article
- Neural and motor mechanisms of handwriting: from healthy aging to neurodegenerative disorders.Frontiers in aging neuroscience · 2026Review
- Evaluation of wrist and finger function in healthy children through music-based video game therapy.Journal of neuroengineering and rehabilitation · 2025Article
- Efficacy of partial toe and iliac bone transfer for reconstruction of grade I-III fingers' defects.BMC musculoskeletal disorders · 2025Article
- Portable Touchscreen Assessment of Motor Skill: A Registered Report of the Reliability and Validity of EDNA MoTap.Assessment · 2025Article
- Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer.Journal of medical Internet research · 2025Observational
- Use of assistive technology to assess distal motor function in subjects with neuromuscular disease.PLOS digital health · 2025Article
- Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study.JMIR formative research · 2024Article
- Classifying Residual Stroke Severity Using Robotics-Assisted Stroke Rehabilitation: Machine Learning Approach.JMIR biomedical engineering · 2024Article
- Integration of music-based game approaches with wearable devices for hand neurorehabilitation: a narrative review.Journal of neuroengineering and rehabilitation · 2024Review
- Clinical Utility and Usability of the Digital Box and Block Test: Mixed Methods Study.JMIR rehabilitation and assistive technologies · 2024Article
- Design Optimization of a Soft Robotic Rehabilitation Glove Based on Finger Workspace Analysis.Biomimetics (Basel, Switzerland) · 2024Article
- Rehabilitative interventions for impaired handwriting in people with Parkinson's disease: a scoping review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLoss of fine motor skills is observed in many neurological diseases, and remote monitoring assessments can aid in early diagnosis and intervention. Hand function can be regularly assessed to monitor loss of fine motor skills in people with central nervous system disorders; however, there are challenges to in-clinic assessments. Remotely assessing hand function could facilitate monitoring and supporting of early diagnosis and intervention when warranted.
objectiveRemote assessments can facilitate the tracking of limitations, aiding in early diagnosis and intervention. This study aims to systematically review existing evidence regarding the remote assessment of hand function in populations with chronic neurological dysfunction.
methodsPubMed and MEDLINE, CINAHL, Web of Science, and Embase were searched for studies that reported remote assessment of hand function (ie, outside of traditional in-person clinical settings) in adults with chronic central nervous system disorders. We excluded studies that included participants with orthopedic upper limb dysfunction or used tools for intervention and treatment. We extracted data on the evaluated hand function domains, validity and reliability, feasibility, and stage of development.
resultsIn total, 74 studies met the inclusion criteria for Parkinson disease (n=57, 77% studies), stroke (n=9, 12%), multiple sclerosis (n=6, 8%), spinal cord injury (n=1, 1%), and amyotrophic lateral sclerosis (n=1, 1%). Three assessment modalities were identified: external device (eg, wrist-worn accelerometer), smartphone or tablet, and telerehabilitation. The feasibility and overall participant acceptability were high. The most common hand function domains assessed included finger tapping speed (fine motor control and rigidity), hand tremor (pharmacological and rehabilitation efficacy), and finger dexterity (manipulation of small objects required for daily tasks) and handwriting (coordination). Although validity and reliability data were heterogeneous across studies, statistically significant correlations with traditional in-clinic metrics were most commonly reported for telerehabilitation and smartphone or tablet apps. The most readily implementable assessments were smartphone or tablet-based.
conclusionsThe findings show that remote assessment of hand function is feasible in neurological disorders. Although varied, the assessments allow clinicians to objectively record performance in multiple hand function domains, improving the reliability of traditional in-clinic assessments. Remote assessments, particularly via telerehabilitation and smartphone- or tablet-based apps that align with in-clinic metrics, facilitate clinic to home transitions, have few barriers to implementation, and prompt remote identification and treatment of hand function impairments.
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Registered trials
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.