eHealth technologies to support nutrition and physical activity behaviors in diabetes self-management (original) (raw)
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Journal of diabetes science and technology, 2015
Diabetes self-management education is an essential element of diabetes care. Systems based on information and communication technology (ICT) for supporting lifestyle modification and self-management of diabetes are promising tools for helping patients better cope with diabetes. An earlier study had determined that diet improved and HbA1c declined for the patients who had used DialBetics during a 3-month randomized clinical trial. The objective of the current study was to test a more patient-friendly version of DialBetics, whose development was based on the original participants' feedback about the previous version of DialBetics. DialBetics comprises 4 modules: data transmission, evaluation, exercise input, and food recording and dietary evaluation. Food recording uses a multimedia food record, FoodLog. A 1-week pilot study was designed to determine if usability and compliance improved over the previous version, especially with the new meal-input function. In the earlier 3-month,...
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...
Designing mobile dietary management support technologies for people with diabetes
Journal of telemedicine and telecare, 2008
We performed two cycles of laboratory-based usability testing of three food registration prototypes for people with diabetes. The design concepts were a commercial web application, various smartphones and a mobile phone photo blogging approach. Six adults with Type 1 diabetes and three adults with Type 2 diabetes participated in the usability tests. The results provided five distinct implications for devices for the future dietary management support of people with diabetes. Study participants valued many of the features offered by the three systems that were tested, although the usability tests also revealed several opportunities to enhance their design. Our findings suggest that further development is justified of mobile dietary and nutritional support for individuals living with diabetes. Applications that support healthy eating habits should be integrated with applications for managing blood glucose data and physical activity data, and potentially medication data as well.
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 ...
Impact of a Digital Lifestyle Intervention on Diabetes Self-Management: A Pilot Study
Nutrients
The aim of this study was to provide preliminary evidence on the impact of the digital health application Vitadio on improving glycemic control in patients with type 2 diabetes mellitus. This was a 3-month, prospective, multicenter, open-label trial with an intraindividual control group. Participants received a digital lifestyle intervention. HbA1c levels were observed at 3 time points: retrospectively, at 3 months before app use; at baseline, at the start of usage; and 3 months after the start of use. In addition, changes in other metabolic parameters (fasting glucose, body weight, and waist circumference), patient reported outcomes (quality of life, self-efficacy, and depression), and data generated within the app (frequency of use, steps, and photos of meals) were evaluated. Repeated measures analysis of variance with the Bonferroni correction was used to assess the overall difference in HbA1c values between the intervention and the intraindividual control group, with p < 0.05...
DialBetics: Smartphone-Based Self-Management for Type 2 Diabetes Patients
Journal of Diabetes Science and Technology, 2012
Healthcare providers lack the time to provide the continuous life-style education necessary for diabetes patients to gain enough skill in diabetes selfmanagement. We developed a real-time, partially automated interactive smartphone-based system (DialBetics)-combining IT and "natural language processing"-to interpret patients' blood glucose, blood pressure, weight, exercise, and dietary content calculated from a message and photo of a meal sent by patients, and respond with communication of findings and advice, achieving diabetes selfmanagement. We examined safety, usability, and impact of a remote health-data monitoring and education system on self-management. Five patients with type 2 diabetes were recruited for a one-month feasibility study. The patients were provided with smartphone, glucometer, blood pressure monitor, pedometer, and weight scale. Patients' measurements were automatically transmitted to a server; exercise and diet information with a meal photo were sent by patients. Patients had excellent compliance for measurements; patients' interest in, and willingness to make, life-style changes improved by receiving real-time findings and advice from DialBetics. Considering the four-week time period of this intervention, results are encouraging in improving self-management. We also plan to assess the impact of DialBetics on patient HbA1c outcomes.
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.
Q Designing mobile dietary management support technologies for people with diabetes
2000
Summary We performed two cycles of laboratory-based usability testing of three food registration prototypes for people with diabetes. The design concepts were a commercial web application, various smartphones and a mobile phone photo blogging approach. Six adults with Type 1 diabetes and three adults with Type 2 diabetes participated in the usability tests. The results provided five distinct implications for