Customizing the Types of Technologies Used by Patients With Type 1 Diabetes Mellitus for Diabetes Treatment: Case Series on Patient Experience

• Published in: JMIR mHealth and uHealth 2019-07, Vol.7 (7), p.e11527-e11527
• Main Authors: Holubová, Anna, Vlasáková, Martina, Mužík, Jan, Brož, Jan
• Format: Article
• Language: English
• Subjects: Adult; Aged, 80 and over; Carbohydrates; Case studies; Diabetes; Diabetes Mellitus, Type 1 - psychology; Diabetes Mellitus, Type 1 - therapy; Diaries; Disease Management; Female; Glucose; Glycated Hemoglobin A - analysis; Hemoglobin; Humans; Hypoglycemia; Insulin; Male; Middle Aged; Original Paper; Patients; Self-Management - methods; Software; Telemedicine; Telemedicine - methods; Telemedicine - standards; Telemedicine - statistics & numerical data; Wearable computers
• ISSN: 2291-5222; 2291-5222
• DOI: 10.2196/11527

Despite the fact there are many wearable and mobile medical devices that enable patients to better self-manage their diabetes, not many patients are aware of all the options they have. In addition, there are those who are not fully satisfied with the devices they use, and those who often do not use them effectively. The study aimed to propose possible changes to the combination of devices used by 6 specific patients for diabetes self-management. We assessed the suitability of selected technical devices for diabetes control. Data of 6 patients (3 men and 3 women) with type 1 diabetes mellitus, who had been using the Diani telemedicine system for at least 3 months, were analyzed. The suitability of selected technical devices for diabetes control was ascertained using the data obtained via the Diani telemedicine system, as well as the patients' subjective feelings and statements, their everyday life habits, and self-management of diabetes. Informed consent was signed and obtained from each of the patients included. Each of the presented case studies describes how a given patient handled the system and its specific components based on his or her lifestyle, level of education, habits related to diabetes management, personality type, and other factors. At the conclusion of each case study, the best composition of devices for patients with similar personal descriptions was suggested. We believe this study can provide relevant guidance on how to help particular patients choose the technology that is best suited for their needs, based on the specific patient information we are able to obtain from them. Furthermore, clinicians or educators should be aware of available technologies a given patient can choose from. In addition, there is a substantial need for proper patient education in order for them to effectively use devices for diabetes self-management.