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Top Stroke Rehabil ; 30(6): 610-619, 2023 09.
Article in English | MEDLINE | ID: mdl-35775585

ABSTRACT

BACKGROUND: The Stroke Upper Limb Capacity Scale (SULCS) is a clinically useful measure of upper-limb (UL) capacity, which assesses both basic and advanced capacities. OBJECTIVES: To examine the reliability, construct validity, and interpretability of the SULCS-Brazil with community-dwelling individuals with stroke. METHODS: The SULCS-Brazil and measures of impairment (handgrip strength and motor function of the paretic UL), capacity (manual and digital dexterities), and performance were applied during the first session, to establish construct validity (80 patients). The SULCS-Brazil was applied again during a second session (a sub-set of 30 patients), to investigate test-retest reliability. Test-retest reliability was evaluated using kappa statistics (k) for the individual items, intraclass correlation coefficient (ICC) for the total scores, standard error of measurement (SEM), minimal detectable change (MDC), and Bland-Altman plot. For the evaluation of construct validity, pre-defined hypotheses were created to estimate the strength of the correlations between the SULCS-Brazil scores and established measures of UL function, using Spearman correlation coefficients. Interpretability was investigated by evaluating both ceiling/ floor effects. RESULTS: High level of agreement was found between the SUCLS-Brazil total scores obtained on both applications (ICC = 0.98; 95%CI:0.96-0.99) and 80% of the individual items had almost perfect agreement (k= 0.81-1.0). The SEM (0.46) and the MDC (1.27) showed clinically acceptable values. All pre-defined hypotheses were confirmed, indicating adequate construct validity of the SULCS-Brazil. No significant ceiling/floor effects were observed. CONCLUSIONS: The SULCS-Brazil showed to be reliable and valid for the evaluation of upper-limb capacity of individuals with stroke.


Subject(s)
Stroke , Humans , Stroke/diagnosis , Brazil , Reproducibility of Results , Hand Strength , Upper Extremity , Psychometrics , Surveys and Questionnaires
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