Upper limb function is important for individuals with tetraplegia because upper limb function supports global function for these individuals. As a result, a great deal of time and effort has been devoted to the restoration of upper limb function. Appropriate outcome measures that can be used to characterize the neurological status of the upper limb have been one of the current barriers in substantiating the efficacy of interventions. Techniques and protocols to evaluate changes in upper limb neurological status have not been applied to the SCI population adequately. The objectives of this thesis were to develop a measure; which is called the Graded Redefined Assessment of Strength Sensibility and Prehension (GRASSP). Development of the scoring approach, testing for reliability and construct validity, and determining impairment and function relationships specific to the upper limb neurological were established. The GRASSP is a clinical measure of upper limb impairment which incorporates the construct of “sensorimotor upper limb function”; comprised of three domains which include five subtests. The GRASSP was designed to capture information on upper limb neurological impairment for individuals with tetraplegia. The GRASSP defines neurological status with numerical values, which represent the deficits in a predictive pattern, is reliable and valid as an assessment technique, and the scores can be used to determine relationships between impairment and functional capability of the upper limb. The GRASSP is recommended for use in the very early acute phases after injury to approximately one year post injury. Use of the GRASSP is recommended when a change in neurological status is being assessed.
Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OTU.1807/29768 |
Date | 31 August 2011 |
Creators | Kalsi-Ryan, Sukhvinder |
Contributors | Verrier, Molly |
Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
Language | en_ca |
Detected Language | English |
Type | Thesis |
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