Use of smartphone-based remote assessments of multiple sclerosis in Floodlight Open, a global, prospective, open-access study

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作者
Jiwon Oh
Luca Capezzuto
Lito Kriara
Jens Schjodt-Eriksen
Johan van Beek
Corrado Bernasconi
Xavier Montalban
Helmut Butzkueven
Ludwig Kappos
Gavin Giovannoni
Riley Bove
Laura Julian
Mike Baker
Christian Gossens
Michael Lindemann
机构
[1] University of Toronto,Division of Neurology, St. Michael’s Hospital
[2] F. Hoffmann-La Roche Ltd.,Department of Neurology–Neuroimmunology, Centre d’Esclerosi Múltiple de Catalunya (Cemcat)
[3] Hospital Universitari Vall d’Hebron,Department of Neuroscience, Central Clinical School
[4] Monash University,Research Center Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel
[5] University of Basel,Department of Neurology, UCSF Weill Institute for Neurosciences
[6] Queen Mary University of London,undefined
[7] University of California San Francisco,undefined
[8] Genentech,undefined
[9] Inc.,undefined
[10] Biogen Digital Health International GmbH,undefined
[11] Limites Medical Research Ltd.,undefined
来源
Scientific Reports | / 14卷
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摘要
Floodlight Open was a global, open-access, digital-only study designed to understand the drivers and barriers in deployment and use of a smartphone app in a naturalistic setting and broad study population of people with and without multiple sclerosis (MS). The study utilised the Floodlight Open app: a ‘bring-your-own-device’ solution that remotely measures a user’s mood, cognition, hand motor function, and gait and postural stability via smartphone sensor-based tests requiring active user input (‘active tests’). Levels of mobility of study participants (‘life-space measurement’) were passively measured. Study data from these tests were made available via an open-access platform. Data from 1350 participants with self-declared MS and 1133 participants with self-declared non-MS from 17 countries across four continents were included in this report. Overall, MS participants provided active test data for a mean duration of 5.6 weeks or a mean duration of 19 non-consecutive days. This duration increased among MS participants who persisted beyond the first week to a mean of 10.3 weeks or 36.5 non-consecutive days. Passively collected life-space measurement data were generated by MS participants for a mean duration of 9.8 weeks or 50.6 non-consecutive days. This duration increased to 16.3 weeks/85.1 non-consecutive days among MS participants who persisted beyond the first week. Older age, self-declared MS disease status, and clinical supervision as part of concomitant clinical research were all significantly associated with higher persistence of the use of the Floodlight Open app. MS participants performed significantly worse than non-MS participants on four out of seven active tests. The findings from this multinational study inform future research to improve the dynamics of persistence of use of digital monitoring tools and further highlight challenges and opportunities in applying them to support MS clinical care.
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