"Selfie" Videos: A Novel, Patient-centered, Comprehensive Approach to Measuring Function in MS
University of California, San Francisco
Summary
The goal of this observational study is to validate a novel, cost-effective method for real-world assessment using patient-acquired "selfie" videos in people with multiple sclerosis. The investigators aim to prove the feasibility and validity of monitoring walking changes remotely through a truly patient-centered, low-burden, low-cost approach. The main question this study aims to answer is: do remotely collected walking and speech videos from a mobile phone match the information investigators can gather from an in person visit? 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).
Description
The investigators aim to validate a novel, cost-effective method for real-world assessment using patient-acquired "selfie" videos. The investigator's preliminary data demonstrate feasibility, validity and utility of this technology, which overcomes limitations of existing digital biomarkers and offers a truly patient-centered, low-burden approach to monitoring and treating diverse people with MS (PwMS). The investigators want to understand the barriers and facilitators to adoption of this approach, as well as the real-world validity and impact of the data generated. This will allow investigato…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * Any patient with MS who is above the age of 18 yrs. Participants who are unable to consent for themselves must have a surrogate decision maker or LAR. * Age \> 18 yrs, EDSS - \<6.5, own a video recording device (smartphone, tablet, camera etc). Exclusion Criteria: * Patient unwilling to participate in the study. Participants unable to consent for themselves who do not have a surrogate decision maker or LAR.
Location
- University of California, San FranciscoSan Francisco, California