"Selfie" Videos: A Novel, Patient-centered, Comprehensive Approach to Measuring Function in MS
NCT ID: NCT07222618
Last Updated: 2025-10-31
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
300 participants
OBSERVATIONAL
2025-10-01
2028-10-01
Brief Summary
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Participants will collect 5 "selfie" videos at baseline, 3 months, 6 months and 12 months (about 15 minutes every 3 months). They will also come in person at baseline, 6 months, and 12 months for in person data collection (about 1 hour per in person visit).
Detailed Description
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This approach to digital tool development prioritizes patients and clinicians. Indeed, the investigators leverage a tool used every day by the general population ("selfie" videos) that recapitulates clinicians' primary examination tool: observing how patients talk and walk.
This approach uses the patient's own device (device agnostic: including smartphones sold after 2010, as well as tablets, laptops or desktops with camera capture), without requiring proprietary software or technology, to collect "selfie" videos - which are ubiquitous in modern life - and provides a link to a secure web portal for simple uploading. The task minimizes burden: it is brief (5 \<1min videos), can be done in individuals' own homes, requires no direct or indirect costs, and therefore is accessible to many diverse patients.
Digital biomarkers must demonstrate VALIDITY: sensitivity to subtle change over time, but also relevance to an individual's daily life and function (i.e. veridicality and verisimilitude). Patient selfie videos capture activities relevant in daily life (buttoning a shirt, walking down a hallway, talking about one's morning), across all levels of disability, using assessments that are holistic and that have veridicality and verisimilitude. Furthermore, the metrics show greater sensitivity to change than standard assessments.
Overall objective: Validate video "selfies" as a patient-centered, valid, comprehensive longitudinal data collection method in MS. This approach will be deemed successful if the investigators achieve key metrics informed by implementation science and digital monitoring biomarker validation as necessary for dissemination, which surpass the feasibility, usability or validity of most digital tools currently available for monitoring in MS.
Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* Age \> 18 yrs, EDSS - \<6.5, own a video recording device (smartphone, tablet, camera etc).
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Genentech, Inc.
INDUSTRY
University of California, San Francisco
OTHER
Responsible Party
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Principal Investigators
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Riley Bove, MD
Role: PRINCIPAL_INVESTIGATOR
University of California, San Francisco
Locations
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University of California, San Francisco
San Francisco, California, United States
Countries
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Central Contacts
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Facility Contacts
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Kyra Henderson, Study Coordinator
Role: primary
References
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Nylander A, Sisodia N, Henderson K, Wijangco J, Koshal K, Poole S, Dias M, Linz N, Troger J, Konig A, Hayward-Koennecke H, Pedotti R, Brown E, Halabi C, Staffaroni A, Bove R. From "invisible" to "audible": Features extracted during simple speech tasks classify patient-reported fatigue in multiple sclerosis. Mult Scler. 2025 Feb;31(2):231-241. doi: 10.1177/13524585241303855. Epub 2024 Dec 17.
Gopal A, Torres WO, Winawer I, Poole S, Balan A, Stuart HS, Fritz NE, Gelfand JM, Allen DD, Bove R. "Self-care selfies": Patient-uploaded videos capture meaningful changes in dexterity over 6 months. Ann Clin Transl Neurol. 2023 Dec;10(12):2394-2406. doi: 10.1002/acn3.51928. Epub 2023 Oct 25.
Other Identifiers
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21-33227
Identifier Type: -
Identifier Source: org_study_id