ArticleClinical parkinsonism & related disorders2024
Inter-rater reliability of hand motor function assessment in Parkinson's disease: Impact of clinician training.
Article in Clinical parkinsonism & related disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cognitive function in different motor subtypes of Parkinson's disease: A systematic review and multilevel meta-analysis.Cognitive, affective & behavioral neuroscience · 2026Pooled it
- Tracking the longitudinal progression of Bradykinesia in Parkinson's disease from videos using VisionMD.Journal of Parkinson's disease · 2026Article
- Case-based in-person teaching improves self-directed mastery of the MDS-UPDRS motor scoring.BMC medical education · 2026Article
- PARQ: A Complexity-Consensus Aware Automatic Assessment of Motor Disease Severity in Parkinson's Disease.Research square · 2026Article
- Deep learning-enabled accurate assessment of gait impairments in Parkinson's disease using smartphone videos.NPJ digital medicine · 2025Article
- User Experiences of Limb-Worn Wearable Devices for Monitoring Parkinson Disease Motor Function and Blood Pressure: Usability Study.JMIR formative research · 2025Article
- Optimizing the MDS-UPDRS Part III for early-stage Parkinson's: early supportive evidence for a limb-related bradykinesia/rigidity sub-score.NPJ Parkinson's disease · 2025Article
- Insights into motor impairment assessment using myographic signals with artificial intelligence: a scoping review.Biomedical engineering letters · 2025Review
- Vocal Feature Changes for Monitoring Parkinson's Disease Progression-A Systematic Review.Brain sciences · 2025Review
- Sensor-based quantification of items used in the MDS-UPDRS-III scale: repetitive lower-limb movements in healthy human participants.Frontiers in neurology · 2025Article
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Authors and funding
15 authors.
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Abstract
Medication adjustments in Parkinson's disease (PD) are driven by patient subjective report and clinicians' rating of motor feature severity (such as bradykinesia and tremor). Objective: As patients may be seen by different clinicians at different visits, this study aims to determine the inter-rater reliability of upper limb motor function assessment among clinicians treating people with PD (PwPD). Methods: PwPD performed six standardised hand movements from the Movement Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-UPDRS), while two cameras simultaneously recorded. Eight clinicians independently rated tremor and bradykinesia severity using a visual analogue scale. We compared intraclass correlation coefficient (ICC) before and after a training/calibration session where high-variance participant videos were reviewed and MDS-UPDRS instructions discussed. Results: In the first round, poor agreement was observed for most hand movements, with best agreement for resting tremor (ICC 0.66 bilaterally; right hand 95 % CI 0.50-0.82; left hand: 0.50-0.81). Postural tremor (left hand) had poor agreement (ICC 0.14; 95 % CI 0.04-0.33), as did wrist pronation-supination (right hand ICC 0.34; 95 % CI 0.19-0.56). In post-training rating exercises, agreements improved, especially for the right hand. Best agreement was observed for hand open-close ratings in the left hand (ICC 0.82, 95 % CI 0.64-0.94) and resting tremor in the right hand (ICC 0.92, 95 % CI 0.83-0.98). Discrimination between right and left hand features by raters also improved, except in resting tremor (disimprovement) and wrist pronation-supination (no change). Conclusions: Clinicians vary in rating video-recorded PD upper limb motor features, especially bradykinesia, but this can be improved somewhat with training.
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