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Connecting real-world digital mobility assessment to clinical outcomes for regulatory and clinical endorsement-the Mobilise-D study protocol.

Authors :
A Stefanie Mikolaizak
Lynn Rochester
Walter Maetzler
Basil Sharrack
Heleen Demeyer
Claudia Mazzà
Brian Caulfield
Judith Garcia-Aymerich
Beatrix Vereijken
Valdo Arnera
Ram Miller
Paolo Piraino
Nadir Ammour
Mark Forrest Gordon
Thierry Troosters
Alison J Yarnall
Lisa Alcock
Heiko Gaßner
Jürgen Winkler
Jochen Klucken
Christian Schlenstedt
Henrik Watz
Anne-Marie Kirsten
Ioannis Vogiatzis
Nikolaos Chynkiamis
Emily Hume
Dimitrios Megaritis
Alice Nieuwboer
Pieter Ginis
Ellen Buckley
Gavin Brittain
Giancarlo Comi
Letizia Leocani
Jorunn L Helbostad
Lars Gunnar Johnsen
Kristin Taraldsen
Hubert Blain
Valérie Driss
Anja Frei
Milo A Puhan
Ashley Polhemus
Magda Bosch de Basea
Elena Gimeno
Nicholas S Hopkinson
Sara C Buttery
Jeffrey M Hausdorff
Anat Mirelman
Jordi Evers
Isabel Neatrour
David Singleton
Lars Schwickert
Clemens Becker
Carl-Philipp Jansen
clinical validation study (WP4) on behalf of Mobilise-D consortium
Source :
PLoS ONE, Vol 17, Iss 10, p e0269615 (2022)
Publication Year :
2022
Publisher :
Public Library of Science (PLoS), 2022.

Abstract

BackgroundThe development of optimal strategies to treat impaired mobility related to ageing and chronic disease requires better ways to detect and measure it. Digital health technology, including body worn sensors, has the potential to directly and accurately capture real-world mobility. Mobilise-D consists of 34 partners from 13 countries who are working together to jointly develop and implement a digital mobility assessment solution to demonstrate that real-world digital mobility outcomes have the potential to provide a better, safer, and quicker way to assess, monitor, and predict the efficacy of new interventions on impaired mobility. The overarching objective of the study is to establish the clinical validity of digital outcomes in patient populations impacted by mobility challenges, and to support engagement with regulatory and health technology agencies towards acceptance of digital mobility assessment in regulatory and health technology assessment decisions.Methods/designThe Mobilise-D clinical validation study is a longitudinal observational cohort study that will recruit 2400 participants from four clinical cohorts. The populations of the Innovative Medicine Initiative-Joint Undertaking represent neurodegenerative conditions (Parkinson's Disease), respiratory disease (Chronic Obstructive Pulmonary Disease), neuro-inflammatory disorder (Multiple Sclerosis), fall-related injuries, osteoporosis, sarcopenia, and frailty (Proximal Femoral Fracture). In total, 17 clinical sites in ten countries will recruit participants who will be evaluated every six months over a period of two years. A wide range of core and cohort specific outcome measures will be collected, spanning patient-reported, observer-reported, and clinician-reported outcomes as well as performance-based outcomes (physical measures and cognitive/mental measures). Daily-living mobility and physical capacity will be assessed directly using a wearable device. These four clinical cohorts were chosen to obtain generalizable clinical findings, including diverse clinical, cultural, geographical, and age representation. The disease cohorts include a broad and heterogeneous range of subject characteristics with varying chronic care needs, and represent different trajectories of mobility disability.DiscussionThe results of Mobilise-D will provide longitudinal data on the use of digital mobility outcomes to identify, stratify, and monitor disability. This will support the development of widespread, cost-effective access to optimal clinical mobility management through personalised healthcare. Further, Mobilise-D will provide evidence-based, direct measures which can be endorsed by regulatory agencies and health technology assessment bodies to quantify the impact of disease-modifying interventions on mobility.Trial registrationISRCTN12051706.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
17
Issue :
10
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.348d403c7fd4ef1800e246c7d1daf34
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0269615