Abstract

Digital Health Technologies (DHTs) such as connected sensors offer particular promise for improving data collection and patient empowerment in neurology research and care. This study analyzed the recent evolution of the use of DHTs in trials registered on ClinicalTrials.gov for four chronic neurological disorders: epilepsy, multiple sclerosis, Alzheimer’s, and Parkinson’s disease. We document growth in the collection of both more established digital measures (e.g., motor function) and more novel digital measures (e.g., speech) over recent years, highlighting contexts of use and key trends.

Details

Title
Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials
Author
Masanneck, Lars 1   VIAFID ORCID Logo  ; Gieseler, Pauline 2 ; Gordon, William J. 3   VIAFID ORCID Logo  ; Meuth, Sven G. 4 ; Stern, Ariel D. 5   VIAFID ORCID Logo 

 Medical Faculty University Hospital Düsseldorf, Department of Neurology, Düsseldorf, Germany (GRID:grid.14778.3d) (ISNI:0000 0000 8922 7789); University of Potsdam, Hasso Plattner Institute, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117) 
 University of Potsdam, Hasso Plattner Institute, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117) 
 Brigham and Women’s Hospital, Division of General Internal Medicine and Primary Care, Boston, USA (GRID:grid.62560.37) (ISNI:0000 0004 0378 8294); Mass General Brigham, Somerville, USA (GRID:grid.32224.35) (ISNI:0000 0004 0386 9924); Harvard Medical School, Department of Biomedical Informatics, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X) 
 Medical Faculty University Hospital Düsseldorf, Department of Neurology, Düsseldorf, Germany (GRID:grid.14778.3d) (ISNI:0000 0000 8922 7789) 
 University of Potsdam, Hasso Plattner Institute, Potsdam, Germany (GRID:grid.11348.3f) (ISNI:0000 0001 0942 1117); Harvard Business School, Boston, USA (GRID:grid.38142.3c) (ISNI:000000041936754X); Harvard-MIT Center for Regulatory Science, Boston, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786) 
Pages
23
Publication year
2023
Publication date
Dec 2023
Publisher
Nature Publishing Group
e-ISSN
23986352
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2775153309
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.