Telerehabilitation and onsite rehabilitation effectively improve quality of life, fatigue, balance, and cognition in people with multiple sclerosis: an interventional study
作者:Maria Petracca, Nikolaos Petsas, Giovanni Sellitto, Ilaria Ruotolo, Chiara Livi, Valeria Bonanno, Federica Felicetti, Antonio Ianniello, Serena Ruggieri, Giovanna Borriello, Carlo Pozzilli · 发表于:Frontiers in Neurology · 年份:2024 · DOI:10.3389/fneur.2024.1394867 · 被引用次数:21 · 研究领域:Multiple Sclerosis Research Studies、Telemedicine and Telehealth Implementation、Balance, Gait, and Falls Prevention
Background Telerehabilitation (TR) offers a valuable opportunity to improve access to care and has shown results comparable to onsite rehabilitation (SR) across different conditions. The present study aimed to explore the efficacy of TR and SR in improving clinically meaningful outcomes in people with multiple sclerosis (pwMS). Materials and methods Subjects enrolled in the study were assigned to one of two treatment arms: a 6-week TR intervention or a 6-week onsite rehabilitation (SR) intervention. Pre-and post-intervention evaluation included assessment of global wellbeing using the Multiple Sclerosis Quality of Life-54 scale (QoL), fatigue using the Fatigue Severity Status scale (FSS), cognitive status using the Symbol Digit Modalities Test (SDMT), and balance dysfunction using the Berg Balance Scale (BBS). Group-level and single-subject improvements were considered as outcome measures, with QoL as the primary endpoint. To determine significant group changes over time for the entire pwMS cohort, a paired t-test was applied to the overall QoL score, focusing on both physical and mental composites. An independent sample t-test was used to assess differences in baseline and follow-up performance, as well as changes over time between the intervention groups (TR and SR). This same analysis was repeated for the other clinical domains (FSS, BBS, and SDMT). The minimal clinically important difference (MCID) according to treatment group (TR vs. SR) was explored using logistic regre...