Introduction: The Amyotrophic Lateral Sclerosis (ALS) functional rating scale–revised (ALSFRS-R) is the most widely used tool for the clinical monitoring in ALS patients. Despite his usefulness as a multidimensional scale, the combined score derived from different domains is not linearly related to symptoms severity. The Rasch-Built Overall ALS Disability Scale (ROADS) has recently been developed to overcome some of these limitations. Objectives: To validate the Italian version of the ROADS scale and assess the reliability of its administration to patients versus their respective caregivers and the correlation to the corresponding ALSFRS-R. Methods: In the Turin ALS Center, the ROADS Scale questionnaire was administered together with ALSFRS-R to 55 ALS patients and their caregivers during regular follow-up assessments. Correlation analysis was performed using Spearman’s rho, Bland-Altman difference plots, Cronbach’s alpha coefficient and Intraclass correlation coefficient (ICC), one-way random effects were used for proper comparison. Results: Their correlation coefficient between patients and caregivers ROADS was found to be very high (ICC 0.95, p < 0.001). Stratifying for age, sex, site of onset, type of caregiver, disease duration, and progression rate, ICC values that did not change significantly among the considered categories. We also found a high correlation between ROADS and ALSFRS-R total score (patients’ correlation coefficient: 0.88). Conclusions: The Italian version of the ROADS scale is a valid and reliable tool to monitor disease burden, showing a high level of agreement between the responses given by patients and caregivers.

Validation of the Italian version of the Rasch-Built Overall Amyotrophic Lateral Sclerosis Disability Scale (ROADS) administered to patients and their caregivers / Manera, U.; Solero, L.; Fournier, C. N.; Canosa, A.; Vasta, R.; Bombaci, A.; Grassano, M.; Palumbo, F.; Torrieri, M. C.; Salamone, P.; Casale, F.; Fuda, G.; Moglia, C.; Calvo, A.; Chio, A.. - In: AMYOTROPHIC LATERAL SCLEROSIS AND FRONTOTEMPORAL DEGENERATION. - ISSN 2167-8421. - 23:5-6(2022), pp. 424-429. [10.1080/21678421.2021.2013892]

Validation of the Italian version of the Rasch-Built Overall Amyotrophic Lateral Sclerosis Disability Scale (ROADS) administered to patients and their caregivers

Bombaci A.;
2022-01-01

Abstract

Introduction: The Amyotrophic Lateral Sclerosis (ALS) functional rating scale–revised (ALSFRS-R) is the most widely used tool for the clinical monitoring in ALS patients. Despite his usefulness as a multidimensional scale, the combined score derived from different domains is not linearly related to symptoms severity. The Rasch-Built Overall ALS Disability Scale (ROADS) has recently been developed to overcome some of these limitations. Objectives: To validate the Italian version of the ROADS scale and assess the reliability of its administration to patients versus their respective caregivers and the correlation to the corresponding ALSFRS-R. Methods: In the Turin ALS Center, the ROADS Scale questionnaire was administered together with ALSFRS-R to 55 ALS patients and their caregivers during regular follow-up assessments. Correlation analysis was performed using Spearman’s rho, Bland-Altman difference plots, Cronbach’s alpha coefficient and Intraclass correlation coefficient (ICC), one-way random effects were used for proper comparison. Results: Their correlation coefficient between patients and caregivers ROADS was found to be very high (ICC 0.95, p < 0.001). Stratifying for age, sex, site of onset, type of caregiver, disease duration, and progression rate, ICC values that did not change significantly among the considered categories. We also found a high correlation between ROADS and ALSFRS-R total score (patients’ correlation coefficient: 0.88). Conclusions: The Italian version of the ROADS scale is a valid and reliable tool to monitor disease burden, showing a high level of agreement between the responses given by patients and caregivers.
2022
Amyotrophic lateral sclerosis
functional rating scale
rasch analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/159122
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