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Testing Feasibility of a Mobile Application to Monitor Fatigue in People With Multiple Sclerosis
Pamela Newland1, Brant Oliver, John M Newland
1Brant Oliver, PhD MS MPH APRN-BC, is Assistant Professor, The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, NH; Department of Veterans Affairs Chief Resident in Quality & Safety Program, White River Junction VA Medical Center, White River Junction, VT. John M. Newland, BS, is Software Engineer, Institute for Informatics (I2), Washington University in St. Louis, St Louis, MO. Florian P. Thomas, MD MA PhD MS, is Founding Chair & Professor, Department of Neurology, Hackensack Meridian School of Medicine at Seton Hall University, South Orange, NJ; Chair, Neuroscience Institute, Chair, Department of Neurology, and Director, Multiple Sclerosis Center, Hackensack University Medical Center, Hackensack, NJ.
Background:
Fatigue is a significant and burdensome symptom for patients with multiple sclerosis and is associated with other symptoms, signs, and decreased quality of life.
Methods:
A prospective pilot study was conducted with a convenience sample (n = 34) of patients with relapsing-remitting multiple sclerosis using a phone application, FatigueApp.com, to collect data on patient-reported outcome measures (Patient-Reported Outcomes Measurement Information System [PROMIS]).
Results:
FatigueApp feasibility was good, with the ability to collect data on self-reported fatigue and other symptoms using PROMIS measures.
Conclusions:
This study showed that using a phone application with PROMIS may be useful in the future to provide estimates of fatigue and other variables to facilitate clinical monitoring of fatigue for neurology clinic settings.
