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Opinions, satisfaction and expectations of individuals with multiple sclerosis about telerehabilitation services.

Authors :
Özden F
Özkeskin M
Ekici E
Tümtürk İ
Ekmekci Ö
Yüceyar N
Source :
Clinical neurology and neurosurgery [Clin Neurol Neurosurg] 2024 Feb; Vol. 237, pp. 108162. Date of Electronic Publication: 2024 Feb 03.
Publication Year :
2024

Abstract

Objective: The opinions, satisfaction, and expectations of telemedicine can provide essential data for remote health services in individuals with Multiple Sclerosis (MS). The study aimed to demonstrate the views (barriers-benefits), satisfaction, and expectations of individuals with MS about telerehabilitation services.<br />Methods: A prospective cross-sectional was conducted with 82 individuals with MS who received telerehabilitation services for at least one year. The participants have completed SymptoMScreen, Beck Depression Inventory (BDI), Telehealth Usability Questionnaire (TUQ), Telemedicine Satisfaction Questionnaire (TSQ), Telehealth Barriers Questionnaire (TBaQ and Telehealth Benefits Questionnaire (TBeQ).<br />Results: As the age of individuals with MS increased, TUQ (r: -0.517, p < 0.001) and TBeQ (r: -0.383, p < 0.001) decreased, while TSQ (r: 0.405, p < 0.001) and TBaQ (r: 0.390, p < 0.001) increased. SymptoMScreen score (r: -0.288, p < 0.05) was weakly associated with TUQ. In addition, TUQ, TSQ, TBeQ, and TBaQ were strongly correlated (p < 0.001).<br />Conclusion: In order to improve usability and satisfaction in telerehabilitation services, the age, symptom severity, and education levels of individuals with MS should be considered. Telehealth methods with high usability should be preferred to increase patient satisfaction.<br />Competing Interests: Declaration of Competing Interest The authors report no conflicts of interest and certify that no funding has been received for this study and/or preparation of this manuscript.<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-6968
Volume :
237
Database :
MEDLINE
Journal :
Clinical neurology and neurosurgery
Publication Type :
Academic Journal
Accession number :
38325037
Full Text :
https://doi.org/10.1016/j.clineuro.2024.108162