Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study (original) (raw)
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Academic Platform Journal of Engineering and Science, 2021
In this study, an application was developed for Android-based smartwatches which has the capacity of monitoring the state of diabetes mellitus and indicating the data concerning the physical activities and cardiac rhythm. Android Studio was used to develop and design the application. The application consists of five pages (glucose, insulin, carbohydrate, physical activity, and heart rate) and a watch face. The Dexcom G4 Platinum sensor was used to provide the user's continuous glucose data. The application not only provides monitoring but also allows the users to enter data entry from the pages. Thus, it is possible to use it as a diary by people with diabetes. The development process of the application was done in collaboration with the Norwegian Centre for e-Health Research in Tromsø, Norway. Also, the application operates simultaneously with an Android phone application called Diabetes Diary, which is developed by this research center.
Journal of Diabetes Science and Technology, 2010
In this issue of Journal of Diabetes Science and Technology, Rao and colleagues present a comparison of three iPhone diabetes data management applications: the Diamedic Diabetes Logbook, Blood Sugar Diabetes Control, and WaveSense Diabetes Manager. These applications provide patients the ability to enter blood glucose readings manually, view graphs and simple statistics, and email data to health care providers. While these applications show promise, they are limited in their current forms. All require manual data entry and none convert insulin-to-carbohydrate ratios to insulin dose. Future development of these types of technology should consider integration with blood glucose meters and expanded calculation capabilities, as well as monitoring of other risk factors, e.g., blood pressure and lipids, and tracking of preventive examinations, e.g., eye, foot, and renal.
Designing mobile support for glycemic control in patients with diabetes
Journal of Biomedical Informatics, 2010
We assessed the feasibility and acceptability of using mobile phones as part of an existing Web-based system for collaboration between patients with diabetes and a primary care team. In design sessions, we tested mobile wireless glucose meter uploads and two approaches to mobile phone-based feedback on glycemic control. Mobile glucose meter uploads combined with graphical and tabular data feedback were the most desirable system features tested. Participants had a mixture of positive and negative reactions to an automated and tailored messaging feedback system for self-management support. Participants saw value in the mobile system as an adjunct to the Web-based program and traditional office-based care. Mobile diabetes management systems may represent one strategy to improve the quality of diabetes care.
DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients
Journal of Diabetes Science and Technology, 2014
Background: Numerous diabetes-management systems and programs for improving glycemic control to meet guideline targets have been proposed, using IT technology. But all of them allow only limited—or no—real-time interaction between patients and the system in terms of system response to patient input; few studies have effectively assessed the systems’ usability and feasibility to determine how well patients understand and can adopt the technology involved. Method: DialBetics is composed of 4 modules: (1) data transmission module, (2) evaluation module, (3) communication module, and (4) dietary evaluation module. A 3-month randomized study was designed to assess the safety and usability of a remote health-data monitoring system, and especially its impact on modifying patient lifestyles to improve diabetes self-management and, thus, clinical outcomes. Fifty-four type 2 diabetes patients were randomly divided into 2 groups, 27 in the DialBetics group and 27 in the non-DialBetics control ...
Mobile Health Applications to Assist Patients with Diabetes: Lessons Learned and Design Implications
Journal of Diabetes Science and Technology, 2012
Abbreviations: (app) application, (BG) blood glucose, (FTA) Few Touch Application, (HC) health care, (ICT) information and communication technology, (mHealth) mobile health, (PHA) personal health application, (SMS) short message service, (T1DM) type 1 diabetes mellitus, (T2DM) type 2 diabetes mellitus
Mobile Applications for Control and Self Management of Diabetes: A Systematic Review
Journal of Medical Systems, 2016
Mobile applications (apps) can be very useful software on smartphones for all aspects of people's lives. Chronic diseases, such as diabetes, can be made manageable with the support of mobile apps. Applications on smartphones can also help people with diabetes to control their fitness and health. A systematic review of free apps in the English language for smartphones in three of the most popular mobile app stores: Google Play (Android), App Store (iOS) and Windows Phone Store, was performed from November to December 2015. The review of freely available mobile apps for self-management of diabetes was conducted based on the criteria for promoting diabetes self-management as defined by Goyal and Cafazzo (monitoring blood glucose level and medication, nutrition, physical exercise and body weight). The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) was followed. Three independent experts in the field of healthcare-related mobile apps were included in the assessment for eligibility and testing phase. We tested and evaluated 65 apps (21 from Google Play Store, 31 from App Store and 13 from Windows Phone Store). Fifty-six of these apps did not meet even minimal requirements or did not work properly. While a wide selection of mobile applications is available for self-management of diabetes, current results show that there are only nine (5 from Google Play Store, 3 from App Store and 1 from Windows Phone Store) out of 65 reviewed mobile apps that can be versatile and useful for successful self-management of diabetes based on selection criteria. The levels of inclusion of features based on selection criteria in selected mobile apps can be very different. The results of the study can be used as a basis to prvide app developers with certain recommendations. There is a need for mobile apps for self-management of diabetes with more features in order to increase the number of long-term users and thus influence better self-management of the disease.
Mobile applications for people with diabetes published between 2010 and 2015
Diabetes Management, 2015
The use of mobile diabetes self-management applications (apps) is rising. However, current reviews mainly focus on clinically relevant features, and very little on those that affect a user's perception. This review highlights recent developments of these systems, coupled with user perceptions, public presence and availability. After including novel review criteria, we found that most apps have a comprehensive range of features and received good scores from public reviewers. However, the visibility of apps in social media or press is scarce, and few Practice points • Although the related studies are well documented, they mainly focus on clinically relevant features and very little on those that affect a user's perception. • This review highlights novel criteria like the perception of an app by users, the popularity and ranking given by users, press releases and the presence in social media.
Developing “Aryan:” Diabetes self-care mobile application
International Journal of Preventive Medicine
Background: Diabetes as a chronic and progressive disease leads to multiple complications. Therefore, it is important to control and treat it. More effective control of this condition and the provision of therapeutic approaches require awareness and active participation of patients in self-care. In this regard, a smartphone that is accessible to most people at anytime and anywhere and is easily applicable can be useful in self-care diabetes, with the ability to install various applications. This study aimed to develop a diabetes self-care mobile application as a suitable solution for self-managing diabetes for Iranians. Methods: We conducted a mixed methods study in three Phases: (1) comparative study of existing mobile applications; (2) developed its object-oriented conceptual model; and (3) developed the initial version of "Aryan" that was approved for production. Results: This application was designed for the appropriate diabetes self-care, with following functionalities: The user ID and his/her personal page setting; generating self-care reports such as blood glucose, nutrition, physiological indicators, physical activities, and patient history reports; care setting; providing patient training materials; nutrition control; insulin and other medications control; blood glucose and key tests control; and other paraclinical tests. Conclusions: "Aryan" has been designed in compliance with Iranian experts' opinions. It is expected "Aryan" plays an effective role in self-care of patients with diabetes.
DiaM-Integrated Mobile-Based Diabetes Management
International Journal of Emerging Trends in Engineering Research, 2021
Mobile technology is showing a wide acceptance in the health-care system. As technology is changing there are many health-care applications in the market. The need of these applications is increasing day by day because of unhealthy lifestyle. Among the various ailments, the most common lifestyle disease is diabetes. As we know diabetes can't be cured, it can only be controlled by managing one's lifestyle. In this paper, we propose a new application DiaM for managing and mentoring a diabetic patient. DiaM is Artificial Intelligence (AI) based mobile application which not only connect to manage one's lifestyle but to build the strong will power. Our application has been designed in such a way that all the aspects are covered to manage one's lifestyle. We have implemented an AI based system which smartly categorizes the patients in different states, which utilizes the different parameter like eating habit, stress, exercise, sleep time, smoking, genetic, BMI, and various other symptoms. On the basis of these states suggestions are been provided to the patient for improving the lifestyle. DiaM also enables patient to connect with the Doctor for monitoring and mentoring. Our application provides real-time alerts to doctor so that they can monitor patient anytime. It is extremely necessary to manage health conditions therefore our application provides a better, accurate and sustainable health-care system.