{"title":"Direct-to-Consumer Testing: Relevance for Diabetes Therapy.","authors":"Malte Jacobsen, Lutz Heinemann","doi":"10.1177/19322968251347970","DOIUrl":null,"url":null,"abstract":"<p><p>The performance of laboratory measurements by the people with diabetes (PwD) themselves (\"direct-to-consumer testing\"; DTCT) is conceptually not new for diabetology. The number of parameters for which such tests are available might increase in the next years, ie, it might go beyond glucose and glycated hemoglobin (HbA<sub>1c</sub>). One has to consider several pro and con arguments for DTCT. Appropriate training of the users is a key issue for the meaningful usage of DTCT. Artificial intelligence (AI) might change the way the results of such tests might be used in daily life for the optimization of diabetes therapy. The decision to what extent DTCT will be used will not be made by the health care professional (HCP) but by the PwD themselves. If they see a relevant advantage for themselves in DTCT, this option will become popular.</p>","PeriodicalId":15475,"journal":{"name":"Journal of Diabetes Science and Technology","volume":" ","pages":"19322968251347970"},"PeriodicalIF":4.1000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12151999/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/19322968251347970","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
Abstract
The performance of laboratory measurements by the people with diabetes (PwD) themselves ("direct-to-consumer testing"; DTCT) is conceptually not new for diabetology. The number of parameters for which such tests are available might increase in the next years, ie, it might go beyond glucose and glycated hemoglobin (HbA1c). One has to consider several pro and con arguments for DTCT. Appropriate training of the users is a key issue for the meaningful usage of DTCT. Artificial intelligence (AI) might change the way the results of such tests might be used in daily life for the optimization of diabetes therapy. The decision to what extent DTCT will be used will not be made by the health care professional (HCP) but by the PwD themselves. If they see a relevant advantage for themselves in DTCT, this option will become popular.
期刊介绍：
The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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