Smart Wristbands as Inexpensive and Reliable Non-dedicated Solution for Self-Managing Type 2 Diabetes (original) (raw)
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Journal of Diabetes Science and Technology, 2011
Background: The objective of this study was to explore facilitators and barriers to the adoption of self-monitoring devices in individuals with type 2 diabetes mellitus (T2DM). Methods: Individuals with T2DM who were currently using one or more devices to monitor their disease participated in focus groups. Transcripts of focus group meetings were coded into themes by two reviewers using NVivo qualitative software. Results: Twenty-eight adults with T2DM reported using a blood glucose meter, and almost half reported monitoring their blood pressure. Few individuals consistently monitored other aspects of their cardiovascular health. Four major themes impacting device use/disuse were identified: Knowledge gaps, relationships with health care providers, environment, and personal experience. Knowledge barriers included lack of information regarding diabetes and the associated risk of complications. Perceptions of inconvenience, pain, and financial restrictions were important factors influ...
Wireless and Mobile Technologies Improving Diabetes Self-Management
Evolving Technologies and Ubiquitous Impacts, 2011
The technological revolution that has created a vast health problem due to a drastic change in lifestyle also holds great potential for individuals to take better care of their own health. This is the focus of the presented overview of current applications, and prospects for future research and innovations. The presented overview and the main goals of the systems included are to utilize information and communication technologies (ICT) as aids in self-management of individual health challenges, for the disease Diabetes, both for Type 1 and Type 2 diabetes. People with diabetes are generally as mobile as the rest of the population, and should have access to mobile technologies for managing their disease. Forty-seven relevant studies and prototypes of mobile, diabetes-specific self-management tools meeting our inclusion criteria have been identified; 27 publicly available products and services, nine relevant patent applications, and 31 examples of other disease-related mobile self-mana...
Canadian journal of diabetes, 2015
Patients with diabetes often face serious complications due to limited self-management skills, the inability to adhere to care regimens, and psychosocial factors. Although regular self-monitoring of blood glucose is known to benefit patients receiving insulin therapy, its role in patients not treated with insulin has been unclear. However, recent studies have demonstrated that structured self-monitoring of blood glucose can significantly benefit patients who are not taking insulin, facilitating improved self-awareness and clinical decision making. We hypothesize that effective self-management by patients with type 2 diabetes who do not need insulin requires a behavioural intervention that enables the association between lifestyle behaviours, such as dietary intake and physical activity, and overall glycemic control. Mobile health applications (apps), coupled with wireless medical peripheral devices, can facilitate self-monitoring; deliver tailored, actionable knowledge; elicit posit...
A System for Monitoring Physical Activity Data Among People with Type 2 Diabetes
2008
Trends towards lower levels of physical activity have raised health concerns. Tools to capture, store and use information about physical activity might improve motivation to increase the level of such activity. This is especially important for Type 2 diabetes, since physical activity is one of the key components in achieving healthy blood glucose values. Over a period of four months, 15 people with Type 2 diabetes provided us with input on how a mobile system needs to be put together. Generally, they answered that such tools must be integrated as well as possible with their other daily tools and clothing. Based on their inputs, we built a sensor system for monitoring physical activity. The system automatically and wirelessly reports the accumulated number of steps taken, using a mobile phone as the patient terminal. We asked 1001 persons about their use of step counters/pedometers. About 6.5 % of them use such a device daily and about 20 % daily, weekly or monthly. Our concept differs from others of this nature in its simplicity, size and integration with other relevant patient data. It is fully manageable by patients themselves as a self-help tool.
Journal of Clinical Nursing, 2009
Aims and Objectives-The aim of this study was to develop role model data for an intervention to motivate non-exercising individuals with type 2 diabetes mellitus to engage in regular physical activity. Toward that end, the study 1) described Continuous Glucose Monitoring System data and obtained role model CGMS graphs, 2) described a monitor to measure exercise amount and intensity and 3) explored participants' experiences of the monitors and perceptions of the glucose monitoring data. Background-Physical activity is a cornerstone of diabetes treatment yet the majority of individuals with diabetes are inactive. Thus, increasing physical activity in these individuals demands innovative interventions. Design-A two-phase, multi-method design was used. Methods-In phase 1, a descriptive design was used to describe physical activity patterns and glucose levels for 72 hours in nine exercising adults with type 2 diabetes. In phase 2, a focus group interview was used to collect data from seven phase-1 participants. Verbatim transcripts of the audio taped focus group were analyzed for themes and trends. Results-The glucose monitor data captured lower glucose levels after exercise. Compared to formal diabetes education, visual data from the glucose monitoring technology were perceived as more relevant to participants' particular, everyday experiences with exercise, diet and stress. Participants reported a reinforced commitment to their exercise and diet regimens after using Continuous Glucose Monitoring System. Technology issues were identified, e.g. discomfort wearing activity monitors and forgetting to enter calibration and event data in glucose monitors. Relevance to Clinical Practice-Participants found that visual glucose monitoring data reinforced self-management behaviors, such as exercise.
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...
Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study
Journal of Diabetes Science and Technology, 2015
Background: Wearable computing has long been described as the solution to many health challenges. However, the use of this technology as a diabetes patient self-management tool has not been fully explored. A promising platform for this use is the smartwatch—a wrist-worn device that not only tells time but also provides internet connection and ability to communicate information to and from a mobile phone. Method: Over 9 months, the design of a diabetes diary application for a smartwatch was completed using agile development methods. The system, including a two-way communication between the applications on the smartwatch and mobile phone, was tested with 6 people with type 1 diabetes. A small number of participants was deliberately chosen due to ensure an efficient use of resources on a novel system. Results: The designed smartwatch system displays the time, day, date, and remaining battery time. It also allows for the entry of carbohydrates, insulin, and blood glucose (BG), with the ...
Exploring the Effectiveness of Smart Technologies in the Management of Type 2 Diabetes Mellitus
Journal of diabetes science and technology, 2017
The global epidemic of diabetes, with increasing prevalence of type 2 diabetes (T2D), is placing a huge burden on health care management and financial systems. Unless new strategic solutions are developed, the increasing prevalence of T2D will result in a significant rise in morbidity, health care costs, and complications associated with diabetes. The introduction of smart devices in diabetes management may provide meaningful improvements in clinical outcomes, patient engagement, as well as potential cost reductions for the health care system. Future research may be capable of providing new smart and interactive solutions to the growing multidisciplinary diabetes team and, most important, to reduce the morbidity associated with T2D.
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
Patients with diabetes mellitus have an increased risk of developing various serious health problems that could be lifethreatening. These problems are associated with the difficulty of these patients in managing their lifestyle, which may even lead to the abandonment of treatment. The present study was designed to evaluate the feasibility of a multipurpose activity control solution for home activity (home activity control system), which will provide information on the activities of daily living carried out outside in real time, to improve adherence to each of the therapeutic objectives agreed on with the diabetic patient. Patients and Methods: A pilot randomised controlled feasibility study will be carried out to evaluate a home activity control system (Beprevent) in managing patients with type 2 diabetes mellitus. Twenty patients with type 2 diabetes mellitus will be included (10 in the intervention group and 10 in the control group). Data on satisfaction with the tool will be collected from professionals and patients, as well as other clinical/epidemiological data from their digital health records and several questionnaires, at baseline and six months. In addition, data will also be recorded regarding the degree of adherence to the behaviors agreed on with the patients before starting the study to assess changes throughout the study and their relationship with clinical results (glycosylated haemoglobin (HbA1c), cholesterol, etc), and to compare these outcomes between two study groups. Discussion: This project involves the incorporation of telemedicine in the management of patients with diabetes. Thus, according to the currently published bibliography, the use of smart devices in this population could help improve the quality of life of these people, reduce medical visits and improve adherence to home care patterns for diabetes mellitus. There are currently no published clinical trials or protocols that monitor activities of daily living in patients with diabetes individually using artificial intelligence (AI) devices.
Self-monitoring diabetes with multiple mobile health devices
Journal of the American Medical Informatics Association, 2020
Objective The purpose of this study was to examine the use of multiple mobile health technologies to generate and transmit data from diverse patients with type 2 diabetes mellitus (T2DM) in between clinic visits. We examined the data to identify patterns that describe characteristics of patients for clinical insights. Methods We enrolled 60 adults with T2DM from a US healthcare system to participate in a 6-month longitudinal feasibility trial. Patient weight, physical activity, and blood glucose were self-monitored via devices provided at baseline. Patients also responded to biweekly medication adherence text message surveys. Data were aggregated in near real-time. Measures of feasibility assessing total engagement in device submissions and survey completion over the 6 months of observation were calculated. Results It was feasible for participants from different socioeconomic, educational, and racial backgrounds to use and track relevant diabetes-related data from multiple mobile he...