An application to track falls in multiple sclerosis patients
Multiple Sclerosis Falls Insight Track: A Personal Health Library to Reduce Falls in Patients With Multiple Sclerosis
This study is testing a new app that helps people with multiple sclerosis track their falls and near-falls while also connecting them with their healthcare team for better safety and support.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 100 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University of California, San Francisco Academic / other |
| Locations | 1 site (San Francisco, California) |
| Trial ID | NCT05837949 on ClinicalTrials.gov |
What this trial studies
This study aims to develop the MS Falls Insight Track (MS FIT), an application that enables patients with multiple sclerosis to log their falls and near-falls, access relevant health data, and communicate with their care team. The tool integrates clinical indicators from electronic health records with patient-generated data from wearables and community-level information to assess fall risk. It provides real-time tracking of falls and offers customized prompts for fall prevention based on behavioral insights. The application will be accessible both in clinical settings and at home, enhancing patient engagement and safety.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and above with a diagnosis of multiple sclerosis who are at risk of falls.
Not a fit: Patients with cognitive or visual impairments that limit their ability to comply with the study protocol may not benefit from this study.
Why it matters
Potential benefit: If successful, this application could significantly reduce fall incidents and improve the quality of life for patients with multiple sclerosis.
How similar studies have performed: While there have been studies focusing on fall prevention in multiple sclerosis, the integration of real-time data tracking and personalized interventions through a digital platform is a novel approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Diagnosis of MS (relapsing or progressive) by 2017 McDonald Criteria18 * Ages 18 and above * Any MS therapy, or no treatment * California resident to enable clinical telemedicine visits if warranted during the study visit * EDSS 2.0-8.0 (moderate to severe impairment, 7= wheelchair but independent transfers) * Fall risk, based on MSWS-12 score and previous report of a fall (Hopkins grade ≥1) * Technological criteria: availability of Wi-Fi in the home or workspace for connectivity. Exclusion Criteria: * Cognitive dexterity or visual impairment that, in the opinion of the study neurologist (RB), would put the participant at risk or limit their ability to comply with the study protocol * Inability to provide informed consent
Where this trial is running
San Francisco, California
- University of California, San Francisco — San Francisco, California, United States (Recruiting)
Study contacts
- Principal investigator: Riley Bove, MD — University of California, San Francisco
- Study coordinator: Riley Bove, MD
- Email: riley.bove@ucsf.edu
- Phone: 415.595.2795
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.