Universität zu Köln

Maecken, Jana, Wiegand, Marie, Mueller, Mathias, Krawinkel, Alexander and Linnebank, Michael (2021). A Mobile App for Measuring Real Time Fatigue in Patients with Multiple Sclerosis: Introducing the Fimo Health App. Brain Sci., 11 (9). BASEL: MDPI. ISSN 2076-3425

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Abstract

Although fatigue is one of the most disabling symptoms of MS, its pathogenesis is not well understood yet. This study aims to introduce a new holistic approach to measure fatigue and its influencing factors via a mobile app. Fatigue is measured with different patient-reported outcome measures (Visual Analog Scale, Fatigue Severity Scale) and tests (Symbol Digit Modalities Test). The influencing vital and environmental factors are captured with a smartwatch and phone sensors. Patients can track these factors within the app. To individually counteract their fatigue, a fatigue course, based on the current treatment guidelines, was implemented. The course implies knowledge about fatigue and MS, exercises, energy-conservation management, and cognitive behavioral therapy. Based on the Transtheoretical Model of Behavior Change, the design of the Fimo health app follows the ten strategies of the process of change, which is a proven approach to designing health intervention programs. By monitoring fatigue and individual influencing factors, patients can better understand and manage their fatigue. They can share their data and insights about fatigue and its influencing factors with their doctors. Thus, they can receive individualized therapies and drug plans.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Maecken, Jana UNSPECIFIED UNSPECIFIED UNSPECIFIED Wiegand, Marie UNSPECIFIED UNSPECIFIED UNSPECIFIED Mueller, Mathias UNSPECIFIED UNSPECIFIED UNSPECIFIED Krawinkel, Alexander UNSPECIFIED UNSPECIFIED UNSPECIFIED Linnebank, Michael UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-584074
DOI:	10.3390/brainsci11091235
Journal or Publication Title:	Brain Sci.
Volume:	11
Number:	9
Date:	2021
Publisher:	MDPI
Place of Publication:	BASEL
ISSN:	2076-3425
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMMITMENT THERAPY; DEPRESSION; ACCEPTANCE; SEVERITY; VALIDITY; IMPROVE; SCALE; MODEL Multiple languages Neurosciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/58407