Discriminative validity of three self-report questionnaires assessing dual-task difficulties in people with multiple sclerosis: an international study within the RIMS network

Abstract

Results: A total of 3398 evaluations from 810 PwMS represented the dataset adopted for our analysis. Among those, 1451 were RR PwMS at the evaluation time and 1947 SP PwMS. The Machine Learning algorithm correctly assigned the current MS course with an accuracy of about 86.0% and by using the predictors selected was able to foresee the course at the next time point with an accuracy of 82.6%. Conclusion: PROs could be potentially used to detect disease progression in people with MS. However, there is a need to develop strategic agenda shared by all relevant stakeholders to help meeting the challenge of developing PRO measures that correspond to the needs of PwMS.