Published in:
01-04-2022 | Tremor | Original Article
Development and validation of an instrument for measuring parkinsonian motor impairment: TRAPS-D
Authors:
José Oswaldo de Oliveira Júnior, Rosimary Amorim Lopes, Fabio Henrique de Gobbi Porto, Ricardo Vieira Botelho
Published in:
Neurological Sciences
|
Issue 4/2022
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Abstract
Background
Parkinson’s disease is incurable, idiopathic, degenerative, and progressive, and affects about 1% of the elderly population. Multidisciplinary clinical treatment is the best and most adopted therapeutic option, while surgical treatment is used in less than 15% of those affected. In practice, there is a lack of reliable and validated scales for measuring motor impairment, and monitoring and screening for surgical indications.
Objective
To develop and validate an instrument for measuring parkinsonian motor impairment in candidates for neurosurgical treatment.
Method
The development and validation methods followed published guidelines. The first part was the choice of domains that would make up the construct: cardinal signs of disease (tremor, rigidity (stiffness), posture/balance/gait, hypokinesia/akinesia, and speech), along with pain and dyskinesia. A multi-professional working group prepared an initial pilot instrument. Ten renowned specialists evaluated, judged, and suggested modifications to the instrument. The second phase was the evaluation of the content of each domain and the respective ability to classify commitment intensity. The third phase was the correction of the main flaws detected and new submission to the board. The instrument was applied to 41 candidates for neurosurgical treatment in two situations: with and without medication
Results
The final form received 100% agreement from the judges. Its average time for application was 8 min. It was very responsive (p = 0.001, Wilcoxon) in different situations (On–Off).
Conclusion
TRASP-D is a valid instrument for measuring motor impairment in patients with Parkinson’s disease who are candidates for neurosurgical treatment. It allows measurement in multiple domains with reliability and sensitivity.