4.2 Article

Instrumented trunk impairment scale (iTIS): A reliable measure of trunk impairment in the stroke population

期刊

TOPICS IN STROKE REHABILITATION
卷 28, 期 6, 页码 456-462

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/10749357.2020.1834273

关键词

Objective assessment; inertial sensor; Trunk Impairment Scale; instrumented trunk impairment scale; stroke; validity

资金

  1. Ministry of Education, Saudi Arabia

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The study found that the instrumented Trunk Impairment Scale (iTIS) showed good intra-rater and inter-rater reliability in assessing trunk impairment in chronic stroke patients, especially in the dynamic subscale parameters. Further research could benefit from larger sample sizes and improving the methodology by using additional sensors to detect compensatory movements.
Background The Trunk Impairment Scale (TIS) is recommended for use in clinical research to assess trunk impairment post-stroke. However, it is observer dependent and does not consider the quality of trunk movement. To address these challenges, this study proposes an instrumented TIS (iTIS). Objective This study aims to investigate the intra-rater and inter-rater reliability of the iTIS in chronic stroke patients. Method Trunk impairment was assessed in 20 patients with stroke using the iTIS Valedo system; three sensors were fixed to the skin on the sternum, L1 and S1 levels. Interclass correlation coefficients were used to assess the inter-rater and intra-rater reliability (between days) with 95% CI. Results Reliability for the dynamic subscale parameters was good to excellent (intra-rater ICC = 0.60-0.95; inter-rater ICC = 0.59-0.93); however, reliability for the coordination parameters was poor to good (intra-rater ICC = 0.05-0.72) and poor to excellent (inter-rater ICC = 0.04-0.78). Conclusion The iTIS demonstrates an acceptable level of reliability for dynamic subscale measurement in research and clinical practice. Further studies could use larger sample sizes and improve the iTIS methodology by employing additional sensors on the limbs to detect compensatory movements.

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