ArticleNeurorehabilitation and neural repair2015
Interrater reliability of the Wolf Motor Function Test-Functional Ability Scale: why it matters.
Article in Neurorehabilitation and neural repair, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00871715 (Interdisciplinary Comprehensive Arm Rehab Evaluation), which is not on this map. Cited by 10 papers, 1 of them a synthesis 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.
Interdisciplinary Comprehensive Arm Rehab Evaluation (ICARE) Stroke Initiative
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Devices for Assessing Motor Functions in Mobility-Impaired and Healthy Populations: Systematic Literature Review.Journal of medical Internet research · 2022Pooled it
- Improving patient outcomes in acute and subacute stroke using a wearable device-assisted rehabilitation system: a randomized controlled trial.The Journal of international medical research · 2024Trial
- Spanish Translation and Cultural Adaptation of the Wolf Motor Function Test for Survivors of Acquired Brain Injury.Healthcare (Basel, Switzerland) · 2025Article
- Article
- Effects of a Distributed Form of Constraint-Induced Movement Therapy for Clinical Application: The Keys Treatment Protocol.Brain sciences · 2025Article
- Design of a Data Glove for Assessment of Hand Performance Using Supervised Machine Learning.Sensors (Basel, Switzerland) · 2021Article
- Predicting and Monitoring Upper-Limb Rehabilitation Outcomes Using Clinical and Wearable Sensor Data in Brain Injury Survivors.IEEE transactions on bio-medical engineering · 2021Article
- A Reaching Performance Scale for 2 Wolf Motor Function Test Items.Archives of physical medicine and rehabilitation · 2020Article
- Effects of Real-Time (Sonification) and Rhythmic Auditory Stimuli on Recovering Arm Function Post Stroke: A Systematic Review and Meta-Analysis.Frontiers in neurology · 2018Article
- Stroke Recovery and Rehabilitation Research: Issues, Opportunities, and the National Institutes of Health StrokeNet.Stroke · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundOne important objective for clinical trialists in rehabilitation is determining efficacy of interventions to enhance motor behavior. In part, limitation in the precision of measurement presents a challenge. The few valid, low-cost observational tools available to assess motor behavior cannot escape the variability inherent in test administration and scoring. This is especially true when there are multiple evaluators and raters, as in the case of multisite randomized controlled trials (RCTs). One way to enhance reliability and reduce variability is to implement rigorous quality control (QC) procedures.
objectiveThis article describes a systematic QC process used to refine the administration and scoring procedures for the Wolf Motor Function Test (WMFT)-Functional Ability Scale (FAS).
methodsThe QC process, a systematic focus-group collaboration, was developed and used for a phase III RCT, which enlisted multiple evaluators and an experienced WMFT-FAS rater panel.
resultsAfter 3 staged refinements to the administration and scoring instructions, we achieved a sufficiently high interrater reliability (weighted κ = 0.8). CONCLUSIONS AND IMPLICATIONS: A systematic focus-group process was shown to be an effective method to improve reliability of observational assessment tools for motor behavior in neurorehabilitation. A reduction in noise-related variability in performance assessments will increase power and potentially lower the number needed to treat. Improved precision of measurement can lead to more cost-effective and efficient clinical trials. Finally, we suggest that improved precision in measures of motor behavior may provide more insight into recovery mechanisms than a single measure of movement time alone.
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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.