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An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study

  • Rafał Doniec
  • , Tymoteusz Krzepina
  • , Szymon Sieciński
  • , Muhammad Tausif Irshad
  • , Marcin Grzegorzek
  • University of Lübeck
  • Silesian University of Technology
  • Academy of Silesia
  • University of the Punjab
  • German Research Center for Artificial Intelligence

Research output: Contribution to journalArticlepeer-review

Abstract

In this cross-sectional study, we examined the abundance of blood glucose meter (BGM) models in the Polish and German medical device markets and their technical specifications. Information from a medical equipment wholesaler’s database was gathered for comparison of BGMs from five manufacturers: Roche Diabetes Care, LifeScan Inc, Abbott, Ascensia Diabetes Care, and Genexo, and for model Glucomaxx BT TaiDoc Technology Corporation. Key parameters such as blood sample size, measurement time, memory capacity, and measurement range were considered. An application was developed to aid in BGM selection for people with type 1 or type 2 diabetes. The results showed a high correlation with laboratory measurements and similarity in key function-alities between the models. The application, tested on 30 individuals aged 18 to 79 years, demonstrated stability, speed, and a user-friendly interface, facilitating efficient data processing and generating recommendations.

Original languageEnglish
Pages (from-to)204-207
Number of pages4
JournalCurrent Directions in Biomedical Engineering
Volume10
Issue number4
DOIs
Publication statusPublished - 1 Dec 2024

UN SDGs

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

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Blood glucose monitoring
  • diabetes
  • education
  • mHealth
  • medical equipment

ASJC Scopus subject areas

  • Biomedical Engineering

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