Cássia E Marin, Paula de O Pinto, Giordani R Dos Passos, Daissy Lm Cuervo, Mario B Wagner, Jefferson Becker, Douglas K Sato
{"title":"Reliability of telemedicine evaluation for EDSS functional systems in multiple sclerosis.","authors":"Cássia E Marin, Paula de O Pinto, Giordani R Dos Passos, Daissy Lm Cuervo, Mario B Wagner, Jefferson Becker, Douglas K Sato","doi":"10.1177/1357633X231207903","DOIUrl":null,"url":null,"abstract":"<p><p><b>Introduction:</b> There was an increase in telemedicine during the COVID-19 pandemic to follow patients with multiple sclerosis (MS). However, there is scarce data if online evaluations can cover important information assessed during in-clinic appointments, especially the Expanded Disability Status Score (EDSS). This study aims to develop a remote evaluation tool for EDSS functional systems and compare the performance with face-to-face evaluations. <b>Methods:</b> This was a single-center study that included all MS patients followed up at outpatient clinics of Hospital São Lucas Pontifícia Universidade Católica do Rio Grande do Sul, between April and August 2022. Initially, patients were routinely in-clinic evaluated by one trained neurologist for EDSS. After, patients were evaluated remotely without any information about the in-clinic EDSS results. We used a standardized interview with an interactive video platform to evaluate EDSS functional systems by telemedicine. <b>Results:</b> Forty-nine participants completed the two steps. Intra-class coefficient was 0.97 (95% CI: 0.95-0.98), concordance for EDSS below 4.0 was 0.87 (95% CI: 0.77-0.93) and ≥4.0 was 0.97 (95% CI: 0.89-0.99). There was perfect agreement in the final EDSS in 71.4% of the online and in-clinic evaluations. In the multivariate analysis, the visual (beta = 0.453; <i>p</i> = 0.003) and pyramidal (beta = 0.403; <i>p</i> = 0.009) systems contributed significantly to the difference in the final EDSS. <b>Conclusion:</b> The telemedicine tool created in this study can detect changes in functional systems with reliable results compared to in-clinic EDSS assessment. Telemedicine evaluations may reduce the number of in-clinic visits and the disease burden for patients with MS.</p>","PeriodicalId":50024,"journal":{"name":"Journal of Telemedicine and Telecare","volume":" ","pages":"673-679"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Telemedicine and Telecare","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/1357633X231207903","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/10/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: There was an increase in telemedicine during the COVID-19 pandemic to follow patients with multiple sclerosis (MS). However, there is scarce data if online evaluations can cover important information assessed during in-clinic appointments, especially the Expanded Disability Status Score (EDSS). This study aims to develop a remote evaluation tool for EDSS functional systems and compare the performance with face-to-face evaluations. Methods: This was a single-center study that included all MS patients followed up at outpatient clinics of Hospital São Lucas Pontifícia Universidade Católica do Rio Grande do Sul, between April and August 2022. Initially, patients were routinely in-clinic evaluated by one trained neurologist for EDSS. After, patients were evaluated remotely without any information about the in-clinic EDSS results. We used a standardized interview with an interactive video platform to evaluate EDSS functional systems by telemedicine. Results: Forty-nine participants completed the two steps. Intra-class coefficient was 0.97 (95% CI: 0.95-0.98), concordance for EDSS below 4.0 was 0.87 (95% CI: 0.77-0.93) and ≥4.0 was 0.97 (95% CI: 0.89-0.99). There was perfect agreement in the final EDSS in 71.4% of the online and in-clinic evaluations. In the multivariate analysis, the visual (beta = 0.453; p = 0.003) and pyramidal (beta = 0.403; p = 0.009) systems contributed significantly to the difference in the final EDSS. Conclusion: The telemedicine tool created in this study can detect changes in functional systems with reliable results compared to in-clinic EDSS assessment. Telemedicine evaluations may reduce the number of in-clinic visits and the disease burden for patients with MS.
期刊介绍:
Journal of Telemedicine and Telecare provides excellent peer reviewed coverage of developments in telemedicine and e-health and is now widely recognised as the leading journal in its field. Contributions from around the world provide a unique perspective on how different countries and health systems are using new technology in health care. Sections within the journal include technology updates, editorials, original articles, research tutorials, educational material, review articles and reports from various telemedicine organisations. A subscription to this journal will help you to stay up-to-date in this fast moving and growing area of medicine.