Exploring the Possibility for a Pervasive Technology Solution to Facilitate Effective Diabetes Self-Care for Patients with GDM (original) (raw)
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A Pervasive Technology Solution for Diabetes Using Gestational Diabetes as a Model
2010
Diabetes is one of the leading chronic diseases affecting Australians and its prevalence continues to rise. Diabetes is therefore becoming a serious challenge for both the quality of healthcare and expenditure in the Australian healthcare system. The goal of this study is to investigate the development and application of a pervasive wireless technology solution to facilitate the effective management of diabetic patients, using the context of the care of women with gestational diabetes, a form of diabetes that affects up to 8% of pregnant women as a test case. Integral to the success of this solution is the unique software technology developed by INET to enable mobile phones to facilitate superior diabetes self-management.
An Investigation into the Use of Pervasive Wireless Technologies to Support Diabetes Self-Care
Concepts, Methodologies, Tools and Applications
An investigation into the use of pervasive wireless technologies to support diabetes self-care Wickramasinghe, Nilmini, Troshani, I and Goldberg, S 2010, An investigation into the use of pervasive wireless technologies to support diabetes self-care. In Coronato, A and De Pietro, G (ed), Pervasive and smart technologies for healthcare: ubiquitous methodologies and tools, IGI Global, pp.114-129.
Novel Health Mobile Technology as an Emerging Strategy in Diabetes Management
Advances in mobile phone technology and its applications coupled with equally robust growth of telecommunication technology can serve to give patients a better access to the healthcare. More and more healthcare providers and patients started using these applications. Mobile applications are useful in handling various aspects of healthcare namely, health promotion and disease prevention, diagnosis, treatment, monitoring and supporting health services. Clinical studies evaluating mobile applications often come up with mixed results. In this chapter, application of mobile health technology or mHealth in diabetes management is presented as a case study. We have reviewed 25 articles from pubmed database that fulfilled our selection criteria which included original clinical studies that evaluated mobile health technology in the management of diabetes mellitus. Most studies (88%) reported positive outcomes after use of the mobile health applications in various aspects of diabetes treatment such as disease management, behavioural monitoring and patient education. Educational SMS were effective but inferior to Smartphone Apps or teleconsultations. User-friendliness of the systems influenced patient compliance and outcomes. Smartphone/web applications offer significant benefits for patient care, education and behavioural modifications. As providing continuous patient support would require adequate infrastructure and personnel, cost effectiveness of such interventions need to be studied.
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.
Empowering Diabetes Patient with Mobile Health Technologies
Mobile Health Technologies - Theories and Applications, 2016
Chronic diseases, especially diabetes mellitus, are huge public health burden. Therefore, new health care models for sharing the responsibility for care among health care providers and patients themselves are needed. The concept of empowerment promotes patient's active involvement and control over their own health. It can be achieved through education, self-management, and shared decision making. All these aspects can be covered by mobile health technologies, the so-called mHealth. This term comprises mobile phones, patient monitoring devices, tablets, personal digital assistants, other wireless devices, and numerous apps. Many challenges of diabetics can be addressed by mHealth, including glycemic control, nutrition control, physical activity, high blood pressure, medication adherence, obesity, education, diabetic retinopathy screening, diabetic foot screening, and psychosocial care. However, mHealth plays only minor role in diabetes management, despite numerous apps on the market. Namely, these apps have many shortcomings and the majority of them does not include important functions. Moreover, these apps lack the perceived additional benefit by the user and the ease of use, important factors for acceptance of mHealth. Studies of diabetes apps regarding usability and accessibility have shown moderate results. Beside improvements of apps usability, the future of diabetes mHealth lies probably in personalized education and self-management with the help of decision support systems. At the same time, work on artificial pancreas is in progress and smartphone could be used as user interface.
2019
BACKGROUND Self-management is integral for control of type 2 diabetes mellitus (T2DM). Patient self-management is improved when they receive real-time information on their health status and behaviors and ongoing facilitation from health professionals. Yet, timely information for these behaviors is notably absent in the healthcare system. Providing real-time data could help improve patient understanding of the dynamics of their illness and assist clinicians in developing targeted approaches to improve health outcomes and in delivering personalized care when and where it is most needed. Mobile technologies (e.g., wearables, apps, connected scales) have the potential to make these patient-provider interactions a reality. To date, there are no studies on the application of these devices for real-time care and tracking data related to T2DM. What strategies might best help patients overcome self-management challenges using self-generated diabetes-related data? How might clinicians effecti...
Journal of diabetes science and technology, 2014
Gestational diabetes mellitus (GDM) is defined as new onset or recognition of glucose intolerance in pregnancy. Evidence supports tight blood glucose regulation to prevent adverse maternal and fetal outcomes. Finger-prick blood glucose (BG) testing with frequent clinic review remains the most common method of managing diabetes in pregnancy. The prevalence of GDM is rising globally, pressuring resource-limited services. We have developed an intuitive, interactive, reliable, and accurate management system to record BG measurements and deliver management of GDM remotely. Following an initial scoping phase, a prototype software application was developed using an Android smartphone with BG meter linkage via Bluetooth. A custom website was built for clinician review of the data transmitted by the smartphone. After system refinement, further evaluation was undertaken for usability and reliability in a 48-patient service development project. Women used the system for an average of 13.1 week...
Mobile Health Applications for Self-Management of Diabetes
Purpose of Review This review evaluates the efficacy, usability, and features of commercially available mobile applications (apps) for diabetes self-management. Key Messages • Although hundreds of apps for diabetes self-management are commercially available, we only identified health outcomes studies on 11 apps. • Of the 11 apps, studies showed only 5 were associated with clinically significant improvements in HbA1c, an important clinical test for monitoring diabetes. (For Type 1 diabetes-Glucose Buddy, Diabeo Telesage; For Type 2 diabetes-Blue Star, WellTang, Gather Health) • None of the studies showed patient improvements in quality of life, blood pressure, weight, or body mass index. More rigorous and longer-term research studies could determine whether apps help people manage their diabetes and reduce complications. • Studies had methodological issues: they were short (2-12 months); inconsistent in reporting of randomization, allocation, masking, and drop-out analysis; and often used co-interventions that hindered interpretation of results. None of the included studies are considered to be high quality. This report is based on research conducted by the Scientific Resource Center under contract to the Agency for Healthcare Research and Quality (AHRQ), Rockville, MD (Contract Nos. 290-2012-0004-C and 290-2017-00003-C). The findings and conclusions in this document are those of the authors, who are responsible for its contents; the findings and conclusions do not necessarily represent the views of AHRQ. Therefore, no statement in this report should be construed as an official position of AHRQ or of the U.S. Department of Health and Human Services. None of the investigators have any affiliations or financial involvement that conflicts with the material presented in this report. The information in this report is intended to help health care decisionmakers-patients and clinicians, health system leaders, and policymakers, among others-make well-informed decisions and thereby improve the quality of health care services. This report is not intended to be a substitute for the application of clinical judgment. Anyone who makes decisions concerning the provision of clinical care should consider this report in the same way as any medical reference and in conjunction with all other pertinent information, i.e., in the context of available resources and circumstances presented by individual patients. This report is made available to the public under the terms of a licensing agreement between the author and the Agency for Healthcare Research and Quality. This report may be used and reprinted without permission except those copyrighted materials that are clearly noted in the report. Further reproduction of those copyrighted materials is prohibited without the express permission of copyright holders. AHRQ or U.S. Department of Health and Human Services endorsement of any derivative products that may be developed from this report, such as clinical practice guidelines, other quality enhancement tools, or reimbursement or coverage policies may not be stated or implied.