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Accuracy, reproducibility, and variability of hand-held dynamometry in motor neuron disease
A Goonetilleke1, H Modarres-Sadeghi, R J Guiloff
1Regional Neurosciences Centre, Charing Cross Hospital, London, UK.
Journal of Neurology, Neurosurgery, and Psychiatry
|March 1, 1994
Summary
Hand-held dynamometry accuracy improves with rater experience, but using multiple raters increases variability. A single rater provides reliable muscle force measurements comparable to fixed devices.
Area of Science:
- Neurology
- Rehabilitation Medicine
- Biomedical Engineering
Background:
- Hand-held dynamometry (HHD) is widely used for muscle strength assessment.
- Variability and reproducibility of HHD readings are critical for clinical trials and patient monitoring.
- Rater experience and the number of raters can influence measurement outcomes.
Purpose of the Study:
- To evaluate the impact of rater experience and the number of raters on the accuracy, reproducibility, and variability of HHD measurements.
- To assess the reliability of HHD in patients with motor neuron disease (MND).
- To determine the effectiveness of a composite score in improving measurement precision.
Main Methods:
- A spring-loaded device was used to calibrate HHD readings.
- Three raters with varying experience assessed muscle strength in 19 patients with MND.
- Muscle force was measured in nine muscle groups over six days and compared to normal controls.
- A composite score combining normalized readings from eight limb muscles was analyzed.
Main Results:
- Overall accuracy improved with rater experience, but reproducibility and variability did not.
- Readings from three raters showed 53% greater variability than single-rater readings.
- The experienced rater demonstrated good reproducibility (13.2% mean difference, 2.17 kg-force repeatability coefficient) over six days.
- Rater contributed 37% to total variability; a composite score improved mean % difference to 6.7% and mean CV to 5.8%.
Conclusions:
- Single-rater HHD measurements offer good reproducibility and variability, comparable to fixed devices.
- Using multiple raters in longitudinal studies significantly increases measurement variability.
- Composite scores can enhance the precision of HHD measurements, particularly in clinical trials.