Neurostatus e-Scoring improves consistency of Expanded Disability Status Scale assessments: A proof of concept study

Background: To improve the consistency of standardized Expanded Disability Status Scale (EDSS) assessments, an electronic data capture tool and analysis tool was developed, Neurostatus e-Scoring (NESC). This tool allows real-time feedback by comparing entries with established scoring rules. Objectiv...

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Bibliographic Details
Published in:Multiple sclerosis 2017-04, Vol.23 (4), p.597-603
Main Authors: D’Souza, Marcus, Yaldizli, Özgür, John, Roland, Vogt, Deborah R, Papadopoulou, Athina, Lucassen, Elisabeth, Menegola, Milena, Andelova, Michaela, Dahlke, Frank, Schnyder, Franz, Kappos, Ludwig
Format: Article
Language:English
Subjects:
Adult
Aged
Clinical trials
Clinical Trials as Topic
Data processing
Disability Evaluation
Feedback
Female
Humans
Male
Middle Aged
Multiple sclerosis
Multiple Sclerosis - diagnosis
Multiple Sclerosis - physiopathology
Multiple Sclerosis - therapy
Proof of Concept Study
Reproducibility of Results
Walking - statistics & numerical data
Young Adult
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Summary:Background: To improve the consistency of standardized Expanded Disability Status Scale (EDSS) assessments, an electronic data capture tool and analysis tool was developed, Neurostatus e-Scoring (NESC). This tool allows real-time feedback by comparing entries with established scoring rules. Objective: To test whether using NESC reduces inconsistencies as compared to the paper-and-pencil version of the Expanded Disability Status Scale (pEDSS). Methods: In all, 100 multiple sclerosis (MS) patients were assessed in random order on the same day by pairs of neurologists, one using pEDSS and one NESC. We compared inter-rater reliability and frequency of inconsistencies in Neurostatus subscores, functional system (FS) scores, ambulation and EDSS steps. Results: Inconsistencies of any type were more likely to occur when using pEDSS (mean odds ratio (95% confidence interval (CI)) = 2.93 (1.62; 5.29)). This was also the case for FS score inconsistencies (2.54 (1.40; 4.61)) and more likely for patients in the lower EDSS range (⩽3.5 vs >3.5) (5.32 (1.19; 23.77)). Overall, inter-rater agreement for the assessed Neurostatus subscores was high (median and inter-quartile range = 0.84 (0.73, 0.81)). Conclusion: Our data provide class II evidence that the use of NESC increases consistency of standardized EDSS assessments, and may thus have the potential to decrease noise and increase power of MS clinical trials.
ISSN:1352-4585
1477-0970
DOI:10.1177/1352458516657439