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dc.contributor.authorPolhemus, Ashley
dc.contributor.authorBergquist, Ronny
dc.contributor.authorBosh de Basea, Magda
dc.contributor.authorBrittain, Gavin
dc.contributor.authorSara Catherine, Buttery
dc.contributor.authorNikolaos, Chynkiamis
dc.contributor.authordalla Costa, Gloria
dc.contributor.authorLaura, Delgado Ortiz
dc.contributor.authorDemeyer, Heleen
dc.contributor.authorEmmert, Kirsten
dc.contributor.authorGarcia Aymerich, Judith
dc.contributor.authorGassner, Heiko
dc.contributor.authorHansen, Clint
dc.contributor.authorHopkinson, Nicholas S.
dc.contributor.authorKlucken, Jochen
dc.contributor.authorKoch, Sarah
dc.contributor.authorLeocani, Letizia
dc.contributor.authorMaetzler, Walter
dc.contributor.authorMicó-Amigo, M Encarna
dc.contributor.authorMikolaizak, A. Stefanie
dc.contributor.authorPiraino, Paolo
dc.contributor.authorSalis, Francesca
dc.contributor.authorSchlenstedt, Christian
dc.contributor.authorSchwickert, Lars
dc.contributor.authorScott, Kirsty
dc.contributor.authorSharrack, Basil
dc.contributor.authorTaraldsen, Kristin
dc.contributor.authorTroosters, Thierry
dc.contributor.authorVereijken, Beatrix
dc.contributor.authorVogiatzis, Ioannis
dc.contributor.authorYarnall, Alison
dc.contributor.authorMazza, Claudia
dc.contributor.authorBecker, Clemens
dc.contributor.authorRochester, Lynn
dc.contributor.authorPuhan, Milo Alan
dc.contributor.authorFrei, Anja
dc.date.accessioned2020-09-02T12:10:14Z
dc.date.available2020-09-02T12:10:14Z
dc.date.created2020-08-31T13:14:43Z
dc.date.issued2020
dc.identifier.issn2044-6055
dc.identifier.urihttps://hdl.handle.net/11250/2676051
dc.description.abstractIntroduction Advances in wearable sensor technology now enable frequent, objective monitoring of real-world walking. Walking-related digital mobility outcomes (DMOs), such as real-world walking speed, have the potential to be more sensitive to mobility changes than traditional clinical assessments. However, it is not yet clear which DMOs are most suitable for formal validation. In this review, we will explore the evidence on discriminant ability, construct validity, prognostic value and responsiveness of walking-related DMOs in four disease areas: Parkinson’s disease, multiple sclerosis, chronic obstructive pulmonary disease and proximal femoral fracture. Methods and analysis Arksey and O’Malley’s methodological framework for scoping reviews will guide study conduct. We will search seven databases (Medline, CINAHL, Scopus, Web of Science, EMBASE, IEEE Digital Library and Cochrane Library) and grey literature for studies which (1) measure differences in DMOs between healthy and pathological walking, (2) assess relationships between DMOs and traditional clinical measures, (3) assess the prognostic value of DMOs and (4) use DMOs as endpoints in interventional clinical trials. Two reviewers will screen each abstract and full-text manuscript according to predefined eligibility criteria. We will then chart extracted data, map the literature, perform a narrative synthesis and identify gaps. Ethics and dissemination As this review is limited to publicly available materials, it does not require ethical approval. This work is part of Mobilise-D, an Innovative Medicines Initiative Joint Undertaking which aims to deliver, validate and obtain regulatory approval for DMOs. Results will be shared with the scientific community and general public in cooperation with the Mobilise-D communication team.en_US
dc.language.isoengen_US
dc.publisherBMJ Publishing Groupen_US
dc.rightsAttribution-NoDerivatives 4.0 Internasjonal*
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleWalking-related digital mobility outcomes as clinical trial endpoint measures: protocol for a scoping reviewen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.journalBMJ Openen_US
dc.identifier.doi10.1136/bmjopen-2020-038704
dc.identifier.cristin1826230
dc.description.localcode© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.en_US
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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