%0 Chart or Table
%A Meyer, Thomas
%A Spittel, Susanne
%A Grehl, Torsten
%A Weyen, Ute
%A Steinbach, Robert
%A Kettemann, Dagmar
%A Petri, Susanne
%A Weydt, Patrick
%A Günther, René
%A Baum, Petra
%A Schlapakow, Elena
%A Koch, Jan Christoph
%A Boentert, Matthias
%A Wolf, Joachim
%A Grosskreutz, Julian
%A Rödiger, Annekathrin
%A Ilse, Benjamin
%A Metelmann, Moritz
%A Norden, Jenny
%A Koc, Ruhan Yasemin
%A Körtvelyessy, Peter
%A Riitano, Alessio
%A Walter, Bertram
%A Hildebrandt, Barbara
%A Schaudinn, Friedrich
%A Münch, Christoph
%A Maier, André
%T Remote digital assessment of amyotrophic lateral sclerosis functional rating scale – a multicenter observational study
%I Taylor & Francis
%M DZNE-2025-00856
%D 2022
%X Remote self-assessment of the revised amyotrophic lateral sclerosis functional rating scale (ALSFRS-R) using digital data capture was investigated for its feasibility as an add-on to ALSFRS-R assessments during multidisciplinary clinic visits. From August 2017 to December 2021, at 12 ALS centers in Germany, an observational study on remote assessment of the ALSFRS-R was performed. In addition to the assessment of ALSFRS-R during clinic visits, patients were offered a digital self-assessment of the ALSFRS-R – either on a computer or on a mobile application (“ALS-App”). An estimated multicenter cohort of 4,670 ALS patients received care at participating ALS centers. Of these patients, 971 remotely submitted the ALSFRS-R, representing 21
%K Cell Biology (Other)
%K Environmental Sciences not elsewhere classified (Other)
%K Biological Sciences not elsewhere classified (Other)
%K Developmental Biology (Other)
%K Science Policy (Other)
%K Mental Health (Other)
%K Hematology (Other)
%K Infectious Diseases (Other)
%F PUB:(DE-HGF)32
%9 Dataset
%R 10.6084/m9.figshare.20411363
%U https://pub.dzne.de/record/279889