An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study
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: Roc...
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| Format: | Article |
| Language: | English |
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De Gruyter
2024-12-01
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| Series: | Current Directions in Biomedical Engineering |
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| Online Access: | https://doi.org/10.1515/cdbme-2024-2049 |
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| author | Doniec Rafał Krzepina Tymoteusz Siecinski Szymon Tausif Irshad Muhammad Grzegorzek Marcin |
| author_facet | Doniec Rafał Krzepina Tymoteusz Siecinski Szymon Tausif Irshad Muhammad Grzegorzek Marcin |
| author_sort | Doniec Rafał |
| collection | DOAJ |
| description | 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 functionalities 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. |
| format | Article |
| id | doaj-art-9b08b6d5ca6340f784172e23c2a1b2e8 |
| institution | OA Journals |
| issn | 2364-5504 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Current Directions in Biomedical Engineering |
| spelling | doaj-art-9b08b6d5ca6340f784172e23c2a1b2e82025-08-20T01:47:46ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042024-12-0110420420710.1515/cdbme-2024-2049An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional StudyDoniec Rafał0Krzepina Tymoteusz1Siecinski Szymon2Tausif Irshad Muhammad3Grzegorzek Marcin4Department of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800Zabrze, PolandDepartment of Medical Informatics and Artificial Intelligence, Faculty of Biomedical Engineering, Silesian University of Technology, Roosevelta 40, 41-800Zabrze, PolandInstitute of Medical Informatics, University of Lubeck, Ratzeburger Allee 160,Lubeck, GermanyInstitute of Medical Informatics, University of Lubeck, Ratzeburger Allee 160,Lubeck, GermanyInstitute of Medical Informatics, University of Lubeck, Ratzeburger Allee 160,Lubeck, GermanyIn 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 functionalities 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.https://doi.org/10.1515/cdbme-2024-2049blood glucose monitoringmedical equipmentdiabeteseducationmhealth |
| spellingShingle | Doniec Rafał Krzepina Tymoteusz Siecinski Szymon Tausif Irshad Muhammad Grzegorzek Marcin An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study Current Directions in Biomedical Engineering blood glucose monitoring medical equipment diabetes education mhealth |
| title | An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study |
| title_full | An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study |
| title_fullStr | An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study |
| title_full_unstemmed | An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study |
| title_short | An Educational App for the Selection of Blood Glucose Meters: A Cross-Sectional Study |
| title_sort | educational app for the selection of blood glucose meters a cross sectional study |
| topic | blood glucose monitoring medical equipment diabetes education mhealth |
| url | https://doi.org/10.1515/cdbme-2024-2049 |
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