Wireless and Mobile Technologies Improving Diabetes Self-Management (original) (raw)
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An Investigation into the Use of Pervasive Wireless Technologies to Support Diabetes Self-Care
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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.
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.
Mobile Health Technologies for Diabetes Mellitus: Current State and Future Challenges
IEEE Access
The prevalence of diabetes is rising globally. Diabetes patients need continuous monitoring, and to achieve this objective, they have to be engaged in their healthcare management process. Mobile health (MH) is an information and communications technology trend to empower chronically ill patients in a smart environment. Discussing the current state of MH technologies is required in order to address their limitations. Existing review articles have evaluated the MH literature based on applicability and level of adoption by patients and healthcare providers. Most of these reviews asserted that MH apps and research have not reached a stable level yet. To the best of our knowledge, there is no clear description of solutions to these problems. In addition, no one has investigated and analyzed MH in its contextual environment in a detailed way. We conducted a comprehensive survey of MH research on diabetes management articles published between 2011 and 27 September 2017. In this survey, we discuss current challenges in MH, along with research gaps, opportunities, and trends. Our literature review searched three academic databases (ScienceDirect, IEEE Xplore, and SpringerLink). A total of 60 articles were analyzed, with 30% from ScienceDirect, 38% from IEEE Xplore, and 32% from SpringerLink. MH was analyzed in the context of the electronic health record (EHR) ecosystem. We consider dimensions such as clinical decision support systems, EHRs, cloud computing, semantic interoperability, wireless body area networks, and big data analytics. We propose specific metrics to analyze and evaluate MH from each of these dimensions. A comprehensive analysis of the literature from this viewpoint is valuable for both theoretical and developmental progress. This paper provides a critical analysis of challenges that have not been fully met, and highlights directions for future research that could improve MH applicability. INDEX TERMS mobile health, diabetes mellitus, electronic health record, cloud computing, clinical decision support system, big data analytics, wireless body area network, medical informatics.
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.
Gestational diabetes(GDM) is increasing exponentially. To address this, we contend that a pervasive mobile solution that can facilitate self-care is a prudent strategy. To demonstrate proof of concept, user fidelity, usability and acceptability of such a solution a small pilot study of 10 patients was designed. A quasi-experimental approach employing a randomized control trial with a two period cross-over clinical trial strategy over 10 week duration at a private hospital in Melbourne, Australia was adopted. The main outcomes of interest were to establish proof of concept and the fidelity of the technology solution. Directional data gathered including patient and clinical interview data serve to demonstrate both proof of concept and fidelity. Without exception both patients and clinicians have preferred the pervasive mobile solution to the standard care approach. The study serves to highlight that pervasive mobile solutions can provide a useful adjunct in the effective monitoring and management of GDM.
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...
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.
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.
Mobile Personal Health Care System for Patients with Diabetes
Lecture Notes in Computer Science, 2010
In this thesis, we propose a personal diabetes monitoring system which integrates wearable sensors, 3G mobile phone, smart home technologies and Google sheet to facilitate the management of chronic disease -diabetes. The system utilizes wearable sensors and 3G cellular phone to automatically collect physical signs, such as blood glucose level, blood pressure and exercise data like heart rate, breathing rate and skin temperature. It allows users, especially seniors with diabetes, to conveniently record daily test results and track long term health condition changes regardless of their locations. It does so without having to ask users to manually input them into the system. The system also utilizes Google sheet to manage Personal Health Records (PHRs), which not only bridges the gaps between patients and different health care providers but enabling accesses to patients' PHRs anywhere and anytime by taking advantage of the universal accessibility of Google sheet. The system further integrates with GPS, Google Search and Google Map functionalities to facilitate the user to find all hospitals near to his/her current location including address, phone number, directions to the selected hospital and street view of the selected hospital.