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

Studies in health technology and informatics Pub Date : 2025-10-02 DOI:10.3233/SHTI251520

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

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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.

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来自糖尿病远程医疗服务的异构半结构化患者报告的身体活动的量化。

远程医疗系统已经证明可以促进生活方式的改变，比如增加身体活动。因此，需要一种易于量化的体力活动水平测量方法，以评估患者的现状和跟踪体力活动的发展。这项工作的目的是将DiabMemory远程医疗系统中报告为类型-强度-持续时间三元组的半结构化活动映射到任务代谢当量（METs）。对947例远程医疗患者的活动数据进行分析，建立类型-强度对与已有纲要中的MET值之间的映射表。此外，还评估了活动类型的分布和产生的MET分数。将MET分数与持续时间相结合，产生了量化的活动测量（MET分钟）。每个活动类型的met -分钟有显著差异（p < 0.0001）。在未来，我们将半结构化数据映射到METs的方法将作为对DiabMemory有效性评估的支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Studies in health technology and informatics

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