Work

Self-assessment of amyotrophic lateral sclerosis functional rating scale on the patient’s smartphone proves to be non-inferior to clinic data capture

Year: 2025
Type: article
Study design: Observational Study
Abstract: Objective To investigate self-assessment of the amyotrophic lateral sclerosis functional rating scale–revised (ALSFRS-R) using the patient’s smartphone and to analyze non-inferiority to clinic assessment. Methods In an observational study, ALSFRS-R data being remotely collected on a mobile application (App-ALSFRS-R) were compared to ALSFRS-R captured during clinic visits (clinic-ALSFRS-R). ALS progression rate (ALSPR) – as calculated by the monthly decline of ALSFRS-R – and its intrasubject variability (ALSPR-ISV) between ratings were used to compare both cohorts. To investigate non-inferiority of App-ALSFRS-R data, a non-inferiority margin was determined. Results 691 ALS patients using the ALS-App, and 1895 patients with clinic assessments were included. Clinical characteristics for the App-ALSFRS-R and clinic-ALSFRS-R cohorts were as follows: Mean age 60.45 (SD 10.43) and 63.69 (SD 11.30) years (p<0.001), disease duration 38.7 (SD 37.68) and 56.75 (SD 54.34) months (p<0.001) and ALSPR 0.72 and 0.59 (p<0.001), respectively. A paired sample analysis of ALSPR-ISV was applicable for 398 patients with clinic as well as app assessments and did not show a significant difference (IQR 0.12 [CI 0.11, 0.14] vs 0.12 [CI 0.11, 0.14], p=0.24; Coheńs d =0.06). CI of IQR for App-ALSFRS-R was below the predefined non-inferiority margin of 0.15 IQR, demonstrating non-inferiority. Conclusions Patients using a mobile application for remote digital self-assessment of the ALSFRS-R revealed younger age, earlier disease course and faster ALS progression. The finding of non-inferiority of App-ALSFRS-R assessments underscores, that data collection using the ALS-App on the patient’s smartphone can serve as additional source of ALSFRS-R in ALS research and clinical practice.
Language: English
Subfield: Neurology
Field: Medicine
Open Access status: hybrid
OpenAlex ID: W4407858722
FWCI: 3.836
Cites: 38
Cited by: 7
Related to: 10