A Mobile App for Measuring Real Time Fatigue in Patients with Multiple Sclerosis: Introducing the Fimo Health App

Area of Science:

• Neurology
• Digital Health
• Rehabilitation

Background:

• Fatigue is a primary disabling symptom in Multiple Sclerosis (MS).
• The pathogenesis of MS-related fatigue remains incompletely understood.
• Current management strategies lack a holistic, individualized approach.

Purpose of the Study:

• To introduce a novel, holistic mobile application (Fimo health app) for measuring fatigue in MS.
• To identify and track individual fatigue-influencing factors using integrated technology.
• To provide personalized fatigue management interventions based on current guidelines.

Main Methods:

• Utilizing patient-reported outcome measures (Visual Analog Scale, Fatigue Severity Scale) and cognitive tests (Symbol Digit Modalities Test) within the app.
• Capturing vital and environmental factors via smartwatch and phone sensors.
• Implementing a fatigue management course based on the Transtheoretical Model of Behavior Change, including education, exercises, energy conservation, and cognitive behavioral therapy.

Main Results:

• The Fimo app enables patients to monitor fatigue and its triggers effectively.
• Patients gain insights into their individual fatigue patterns.
• Data sharing facilitates personalized therapy and drug plan adjustments with healthcare providers.

Conclusions:

• The Fimo health app offers a comprehensive approach to managing MS fatigue.
• Mobile health technology can empower patients in understanding and controlling their symptoms.
• Personalized interventions, guided by objective data, can improve MS patient outcomes.