Forschung & Innovation
Publikationen
Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service
PMU Autor*innen
Mahdi Sareban, Gunnar Treff, Josef Niebauer
Alle Autor*innen
Fabian Wiesmüller, Martin Baumgartner, Florian Hoffmann, Mahdi Sareban, Gunnar Treff, Josef Niebauer, Günter Schreier, Dieter Hayn
Fachzeitschrift
STUDIES IN HEALTH TECHNOLOGY AND INFORMATICS
Kurzfassung
Telehealth systems have shown to facilitate lifestyle changes like an increase in physical activity. Therefore, an easily quantifiable measure of physical activity levels for both assessing a patient's status quo and tracking physical activity development is needed. The aim of this work was to map semi-structured activities reported as type-intensity-duration triplets in the DiabMemory telehealth system to Metabolic Equivalents of Task (METs). The activity data of 947 telehealth patients were analyzed to create a mapping table between type-intensity pairs and MET values from a preexisting compendium. Additionally, the distribution of activity types and resulting MET scores was evaluated. Combining the MET scores with the duration resulted in the quantified activity measure (MET-minutes). A significant difference in the MET-minutes per activity type (p < 0.0001) was identified. In the future, our method of mapping semi-structured data to METs will serve as a support the evaluation of the effectiveness of DiabMemory.
Keywords
Humans, EXERCISE, Male, Middle Aged, Female, Telemedicine/statistics & numerical data, Diabetes Mellitus/therapy, Metabolic Equivalent, Self Report