Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service

Fabian Wiesmüller; Martin Baumgartner; Florian Hoffmann; Mahdi Sareban; Gunnar Treff; Josef Niebauer; Günter Schreier; Dieter Hayn

doi:10.3233/SHTI251520

Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service

Fabian Wiesmüller
, Martin Baumgartner
, Florian Hoffmann
, Mahdi Sareban
, Gunnar Treff
, Josef Niebauer
, Günter Schreier (Author and Speaker)
, Dieter Hayn

Digital Health Information Systems

Ludwig Boltzmann Institute for Digital Health and Prevention
Institute of Neural Engineering, Graz University of Technology
Versicherungsanstalt öffentlich Bediensteter, Eisenbahnen und Bergbau – BVAEB, Vienna
Ludwig Boltzmann Institut für Digitale Gesundheit und Prävention, Salzburg
University Institute of Sports Medicine, Prevention and Rehabilitation, Paracelsus Medical University
Institute of Molecular Sports and Rehabilitation Medicine, Paracelsus Medical University
Paracelsus Medical University (PMU)

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

Abstract

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.

Original language	English
Title of host publication	Studies in Health Technology and Informatics
Subtitle of host publication	Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025
Editors	Ursula H. Hübner, Jan-David Liebe, Arriel Benis, Nicole Egbert, Thomas Engelsma, Parisis Gallos, Daniel Flemming, Valentina Lichtner, Romaric Marcilly, Oscar Tamburis, Sidsel Villumsen
Publisher	IOS Press BV
Chapter	Section 4 Technical Factors
Pages	170-174
Number of pages	5
Volume	332
ISBN (Electronic)	ISBN 978-1-64368-629-5
DOIs	https://doi.org/10.3233/SHTI251520
Publication status	Published - 20 Oct 2025
Event	EFMI Special Topic Conference 2025 : Good Evaluation – Better Digital Health - Caprivi Campus of Osnabrück University of Applied Sciences (OUAS), Osnabrück, Germany Duration: 20 Oct 2025 → 22 Oct 2025 https://stc2025.efmi.org/

Publication series

Name	Studies in Health Technology and Informatics
Publisher	IOS Press
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	EFMI Special Topic Conference 2025
Abbreviated title	EFMI STC 2025
Country/Territory	Germany
City	Osnabrück
Period	20/10/25 → 22/10/25
Internet address	https://stc2025.efmi.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Field

Exploration of Digital Health

Keywords

Telehealth
mHealth
physical activity
diabetes

Access to Document

10.3233/SHTI251520Licence: CC BY-NC

Cite this

Wiesmüller, F., Baumgartner, M., Hoffmann, F., Sareban, M., Treff, G., Niebauer, J., Schreier, G., & Hayn, D. (2025). Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service. In U. H. Hübner, J.-D. Liebe, A. Benis, N. Egbert, T. Engelsma, P. Gallos, D. Flemming, V. Lichtner, R. Marcilly, O. Tamburis, & S. Villumsen (Eds.), Studies in Health Technology and Informatics: Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025 (Vol. 332, pp. 170-174). (Studies in Health Technology and Informatics). IOS Press BV. https://doi.org/10.3233/SHTI251520

Wiesmüller, Fabian ; Baumgartner, Martin ; Hoffmann, Florian et al. / Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service. Studies in Health Technology and Informatics: Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025. editor / Ursula H. Hübner ; Jan-David Liebe ; Arriel Benis ; Nicole Egbert ; Thomas Engelsma ; Parisis Gallos ; Daniel Flemming ; Valentina Lichtner ; Romaric Marcilly ; Oscar Tamburis ; Sidsel Villumsen. Vol. 332 IOS Press BV, 2025. pp. 170-174 (Studies in Health Technology and Informatics).

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Wiesmüller, F, Baumgartner, M, Hoffmann, F, Sareban, M, Treff, G, Niebauer, J, Schreier, G & Hayn, D 2025, Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service. in UH Hübner, J-D Liebe, A Benis, N Egbert, T Engelsma, P Gallos, D Flemming, V Lichtner, R Marcilly, O Tamburis & S Villumsen (eds), Studies in Health Technology and Informatics: Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025. vol. 332, Studies in Health Technology and Informatics, IOS Press BV, pp. 170-174, EFMI Special Topic Conference 2025 , Osnabrück, Germany, 20/10/25. https://doi.org/10.3233/SHTI251520

Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service. / Wiesmüller, Fabian; Baumgartner, Martin; Hoffmann, Florian et al.
Studies in Health Technology and Informatics: Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025. ed. / Ursula H. Hübner; Jan-David Liebe; Arriel Benis; Nicole Egbert; Thomas Engelsma; Parisis Gallos; Daniel Flemming; Valentina Lichtner; Romaric Marcilly; Oscar Tamburis; Sidsel Villumsen. Vol. 332 IOS Press BV, 2025. p. 170-174 (Studies in Health Technology and Informatics).

Research output: Chapter in Book or Conference Proceedings › Conference Proceedings with Oral Presentation › peer-review

TY - GEN

T1 - Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service

AU - Wiesmüller, Fabian

AU - Baumgartner, Martin

AU - Hoffmann, Florian

AU - Sareban, Mahdi

AU - Treff, Gunnar

AU - Niebauer, Josef

AU - Hayn, Dieter

A2 - Schreier, Günter

A2 - Hübner, Ursula H.

A2 - Liebe, Jan-David

A2 - Benis, Arriel

A2 - Egbert, Nicole

A2 - Engelsma, Thomas

A2 - Gallos, Parisis

A2 - Flemming, Daniel

A2 - Lichtner, Valentina

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PY - 2025/10/20

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N2 - 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.

AB - 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.

KW - Telehealth

KW - mHealth

KW - physical activity

KW - diabetes

U2 - 10.3233/SHTI251520

DO - 10.3233/SHTI251520

M3 - Conference Proceedings with Oral Presentation

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T3 - Studies in Health Technology and Informatics

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BT - Studies in Health Technology and Informatics

PB - IOS Press BV

T2 - EFMI Special Topic Conference 2025

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ER -

Wiesmüller F, Baumgartner M, Hoffmann F, Sareban M, Treff G, Niebauer J et al. Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service. In Hübner UH, Liebe JD, Benis A, Egbert N, Engelsma T, Gallos P, Flemming D, Lichtner V, Marcilly R, Tamburis O, Villumsen S, editors, Studies in Health Technology and Informatics: Good Evaluation - Better Digital Health: Proceedings of the EFMI Special Topic Conference 2025. Vol. 332. IOS Press BV. 2025. p. 170-174. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI251520

Quantification of Heterogeneous Semi-Structured Patient-Reported Physical Activities Derived from a Diabetes Telehealth Service

Abstract

Publication series

Conference

UN SDGs

Research Field

Keywords

Access to Document

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