Reliability of telemedicine evaluation for EDSS functional systems in multiple sclerosis

Cassia E. Marin, Paula de O. Pinto, Giordani R. dos Passos, Daissy L. M. Cuervo, Mario B. Wagner,Jefferson Becker,Douglas K. Sato

Journal of telemedicine and telecare(2023)

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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 Sao Lucas Pontificia Universidade Catolica 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.
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Key words
Multiple sclerosis, telemedicine, disability evaluation, digital health, assessment, neurologic examination
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