Introduction: The Scale for Assessment and Rating of Ataxia (SARA) is a widely used clinical rating scale in ataxia. Remote video assessments of SARA examinations are increasingly used to reduce variability through centralized ratings. Remote video assessments have a high agreement with in-person ratings, but the intra- and inter-rater reliability of remote video ratings has not been examined. In this study, we compared the performance of live versus video SARA ratings and evaluated intra- and inter-rater reliability of SARA ratings via video review in patients with spinocerebellar ataxia (SCA) type 1, 2, 3, and 6.
Methods: We calculated the Bland-Altman analysis for average measures to assess the agreement between live and video ratings and the Intraclass Correlation Coefficient (ICC) for intra- and inter-rater reliability of video ratings.
Results: In all 15 participants, we found high agreement between live and video for all SARA items, with less than 0.5 point overestimation of video compared to live SARA total score, and excellent intra- and inter-rater reliability for the SARA total score rated by video revision, with an ICC of 0.98 and 0.95, respectively.
Conclusions: Our study highlights the ability to adopt SARA video ratings in clinical practice and research.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.parkreldis.2025.107278 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Challenges and effectiveness of remote neurological follow-up of children with concussion following TBI using telemedicine.
Ir J Med Sci
January 2025
Emergency Department, University of Health Science, Kanuni Sultan Süleyman Research and Training Hospital, Istanbul, Turkey.
Background: Traumatic brain injury (TBI) in children, including concussion, is one of the major causes of emergency department (ED) registration and a significant burden on the health system.
Objectives: The primary goal of this study was to evaluate the outcomes of a telemedicine strategy for remotely monitoring the children with traumatic brain concussions, focusing on their neurological symptoms and signs. The secondary goal was to explore socioeconomic and educational differences among the participating families.
Android avatar improves educational effects by embodied anthropomorphization.
Front Robot AI
January 2025
Department of Engineering Science, Osaka University, Osaka, Japan.
After the COVID-19 pandemic, the adoption of distance learning has been accelerated in educational institutions in multiple countries. In addition to using a videoconferencing system with camera images, avatars can also be used for remote classes. In particular, an android avatar with a sense of presence has the potential to provide higher quality education than a video-recorded lecture.
View Article and Find Full Text PDFRemote patient monitoring in heart failure: A comprehensive meta-analysis of effective programme components for hospitalization and mortality reduction.
Eur J Heart Fail
January 2025
Department of Cardiology, Máxima Medical Centre, Veldhoven, The Netherlands.
Aims: Methods of non-invasive remote patient monitoring (RPM) for heart failure (HF) remain diverse. Understanding factors that influence the effectiveness of RPM on HF-related and all-cause hospitalizations, mortality, and emergency department visits is crucial for developing successful RPM interventions. This meta-analysis aims to synthesize and compare existing literature on RPM components that impact HF-related and all-cause hospitalizations, mortality and emergency department visits in HF patients.
View Article and Find Full Text PDFConstructing a fall risk prediction model for hospitalized patients using machine learning.
BMC Public Health
January 2025
Department of Pathology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
Study Objectives: This study aimed to identify the risk factors associated with falls in hospitalized patients, develop a predictive risk model using machine learning algorithms, and evaluate the validity of the model's predictions.
Study Design: A cross-sectional design was employed using data from the DRYAD public database.
Research Methods: The study utilized data from the Fukushima Medical University Hospital Cohort Study, obtained from the DRYAD public database.
Reliability of remote video ratings of the scale for assessment and rating of ataxia.
Parkinsonism Relat Disord
January 2025
Department of Neurology, The University of Chicago Pritzker School of Medicine, Chicago, IL, USA. Electronic address:
Introduction: The Scale for Assessment and Rating of Ataxia (SARA) is a widely used clinical rating scale in ataxia. Remote video assessments of SARA examinations are increasingly used to reduce variability through centralized ratings. Remote video assessments have a high agreement with in-person ratings, but the intra- and inter-rater reliability of remote video ratings has not been examined.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!