Literature DB >> 29904048

Responsiveness and predictive validity of the Tablet-based Symbol Digit Modalities Test in patients with stroke.

Pei-Chi Hsiao1, Wan-Hui Yu2, Shih-Chieh Lee3, Mei-Hsiang Chen4,5, Ching-Lin Hsieh6,3,7.   

Abstract

BACKGROUND: The responsiveness and predictive validity of the Tablet-based Symbol Digit Modalities Test (T-SDMT) are unknown, which limits the utility of the T-SDMT in both clinical and research settings. AIM: The purpose of this study was to examine the responsiveness and predictive validity of the T-SDMT in inpatients with stroke.
DESIGN: A follow-up, repeated-assessments design.
SETTING: One rehabilitation unit at a local medical center. POPULATION: A total of 50 inpatients receiving rehabilitation completed T-SDMT assessments at admission to and discharge from a rehabilitation ward.
METHODS: The median follow-up period was 14 days. The Barthel index (BI) was assessed at discharge and was used as the criterion of the predictive validity.
RESULTS: The mean changes in the T-SDMT scores between admission and discharge were statistically significant (paired t-test = 3.46, P=0.001). The T-SDMT scores showed a nearly moderate standardized response mean (0.49). A moderate association (Pearson's r =0.47) was found between the scores of the T-SDMT at admission and those of the BI at discharge, indicating good predictive validity of the T-SDMT.
CONCLUSIONS: Our results support the responsiveness and predictive validity of the T-SDMT in patients with stroke receiving rehabilitation in hospitals. CLINICAL REHABILITATION IMPACT: This study provides empirical evidence supporting the use of the T-SDMT as an outcome measure for assessing processing speed in inpatients with stroke. The scores of the T-SDMT could be used to predict basic activities of daily living function in inpatients with stroke.

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Year:  2018        PMID: 29904048     DOI: 10.23736/S1973-9087.18.05210-3

Source DB:  PubMed          Journal:  Eur J Phys Rehabil Med        ISSN: 1973-9087            Impact factor:   2.874


  1 in total

1.  Robotic Rehabilitation: An Opportunity to Improve Cognitive Functions in Subjects With Stroke. An Explorative Study.

Authors:  Irene Aprile; Giulia Guardati; Valeria Cipollini; Dionysia Papadopoulou; Alessia Mastrorosa; Letizia Castelli; Serena Monteleone; Alessandra Redolfi; Silvia Galeri; Marco Germanotta
Journal:  Front Neurol       Date:  2020-11-19       Impact factor: 4.003

  1 in total

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