The few touch digital diabetes diary : user-involved design of mobile self-help tools for peoplewith diabetes

Paper number 2, 4, 5 and 7 are not available in Munin, due to publishers' restrictions: 2. Årsand E, and Demiris G.: "User-Centered Methods for Designing Patient-Centric Self-Help Tools", Informatics for Health and Social Care, 2008 Vol. 33, No. 3, Pages 158-169 (Informa Healthcare). Available at http://dx.doi.org/10.1080/17538150802457562 4. Årsand E, Olsen OA, Varmedal R, Mortensen W, and Hartvigsen G.: "A System for Monitoring Physical Activity Data Among People with Type 2 Diabetes", pages 173-178 in S.K. Andersen, et.al. (eds.) "eHealth Beyond the Horizon - Get IT There", Proceedings of MIE2008, Studies in Health Technology and Informatics, Volume 136, May 2008, ISBN: 978-1-58603-864-9 5. Årsand E, Tufano JT, Ralston J, and Hjortdahl P.: "Designing Mobile Dietary Management Support Technologies for People with Diabetes", Journal of Telemedicine and Telecare, 2008 Volume 14, Number 7, Pp. 329-332 (Royal Society of Medicine Press). Available at http://dx.doi.org/10.1258/jtt.2008.007001 7. Årsand E, Walseth OA, Andersson N, Fernando R, Granberg O, Bellika JG, and Hartvigsen G.: "Using Blood Glucose Data as an Indicator for Epidemic Disease Outbreaks", pages 199-204 in R. Engelbrecht et.al. (eds.): "Connecting Medical Informatics and Bio-Informatics", Proceedings of MIE2005, Studies in Health Technology and Informatics, Volume 116, August 2005, ISBN: 978-1-58603-549-5. Check availabilityParadoxically, 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. The first consequence is not addressed in this dissertation, but the second represents the focus of the work presented, namely utilizing ICT to support self-management of individual health challenges. As long as only 35% of the patients in Norway achieve the International Diabetes Federation‟s goal for blood glucose (HbA1c), actions and activities to improve blood glucose control and related factors are needed. The presented work focuses on the development and integration of alternative sensor systems for blood glucose and physical activity, and a fast and effortless method for recording food habits. Various user-interface concepts running on a mobile terminal constitute a digital diabetes diary, and the total concept is referred to as the “Few Touch application”. The overall aim of this PhD project is to generate knowledge about how a mobile tool can be designed for supporting lifestyle changes among people with diabetes. Applying technologies and methods from the informatics field has contributed to improved insight into this issue. Conversely, addressing the concrete use cases for people with diabetes has resulted in the achievement of ICT designs that have been appreciated by the cohorts involved. Cooperation with three different groups of patients with diabetes over several years and various methods and theories founded in computer science, medical informatics, and telemedicine have been combined in design and research on patient-oriented aids. The blood glucose Bluetooth adapter, the step counter, and the nutrition habit registration system that have been developed were all novel and to my knowledge unique designs at the time they were first tested, and this still applies to the latter two. Whether it can be claimed that the total concept presented, the Few Touch application, will increase quality of life, is up to future research and large-scale tests of the system to answer. However, results from the Type 2 diabetes half-year study showed that several of the participants did adjust their medication, food habits and/or physical activity due to use of the application

Usage of mobile applications in diabetes management: a review

Peer-reviewed articles on the usage of mobile applications in the management of diabetes were reviewed. Studies using mobile device applications for diabetes interventions published between January 2007 and March 2013 were included in this review. Studies related to the developmental processes of the mobile applications were excluded. The characteristics of these studies and the outcomes of the methods used in the management of diabetes were gathered. We retrieved a total of 372 articles from ACM Digital library, PubMed and Proquest Medical Library. After applying the inclusion and exclusion criteria, 8 articles were eligible for further review. Most of the studies included in this review showed the effectiveness of mobile applications in diabetes management. Their major contribution comes from feedback functions of the systems that assist participants in the self-monitoring of their blood glucose and dietary intake. However, the majority of the studies showed the limited use of the mobile phone as a tool to input information into systems which would in turn convey a reminder message to the patient. In conclusion, with its features of portability and convenience, mobile application used in the management of diabetes has the potential to improve glycaemic control, resulting in significant clinical and financial benefits

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Mobile Telemedicine for Diabetes Care

Diabetes Mellitus is nowadays one of the most frequent non-contagious diseases in the world and remains a major health problem for the national health care programs. It is well proved that Telemedicine helps diabetic patients controlling their glucose levels, facilitating their day to-day therapy management and the communication with health care personnel. The rapid growth and development of information technologies in the areas of mobile computing and mobile Internet is shaping a new technological scenario of telemedicine and shared care systems. In this chapter we will show one approach to Mobile Telemedicine for Diabetes Care

Nutritional status and nutritional treatment are related to outcomes and mortality in older adults with hip fracture

Malnutrition is very prevalent in geriatric patients with hip fracture. Nevertheless, its importance is not fully recognized. The objective of this paper is to review the impact of malnutrition and of nutritional treatment upon outcomes and mortality in older people with hip fracture. We searched the PubMed database for studies evaluating nutritional aspects in people aged 70 years and over with hip fracture. The total number of studies included in the review was 44, which analyzed 26,281 subjects (73.5% women, 83.6 ± 7.2 years old). Older people with hip fracture presented an inadequate nutrient intake for their requirements, which caused deterioration in their already compromised nutritional status. The prevalence of malnutrition was approximately 18.7% using the Mini-Nutritional Assessment (MNA) (large or short form) as a diagnostic tool, but the prevalence was greater (45.7%) if different criteria were used (such as Body Mass Index (BMI), weight loss, or albumin concentration). Low scores in anthropometric indices were associated with a higher prevalence of complications during hospitalization and with a worse functional recovery. Despite improvements in the treatment of geriatric patients with hip fracture, mortality was still unacceptably high (30% within 1 year and up to 40% within 3 years). Malnutrition was associated with an increase in mortality. Nutritional intervention was cost effective and was associated with an improvement in nutritional status and a greater functional recovery. To conclude, in older people, the prevention of malnutrition and an early nutritional intervention can improve recovery following a hip fracture

A mHealth Architecture for Diabetes Self-Management System

Recent advancement in smartphones coupled with the proliferation of data connectivity has resulted in increased interest and unprecedented growth in mobile applications for diabetes self-management. Nevertheless, a review of the literature highlights critical gaps between available functionality and user requirements and expectations. In this paper, we present a mHealth architecture of diabetes self-management system. The architecture has the following functionalities: automated data-entry through the use of wireless sensors; adherence to clinical guidelines; advanced statistical techniques for diabetes modeling and prediction; and advanced charting capabilities for data presentation and quality control

Prospective Analysis of the Mobile Health Information Systems in China

With the rapidly growing economy in the past few decades, people of China (mainland) are now enjoying increasingly more economic benefits than ever before. Of many growing technologies, mobile devices, especially cell phones, have been gaining popularity throughout the country. According to the latest statistics in 2007, more than one third of Chinese have cell phones. In addition to the basic uses of voice communication, cell phones have many other promising applications. Particularly, as a pervasive technology, mobile devices offer a great opportunity to deliver health information directly to people with an affordable cost. This paper analyzes the potential of mobile health information systems in China. This prospective analysis will be conducted from four important perspectives: technology, market demand, business model, and government policy

Efficacy and acceptability of My Care Hub mobile app to support self-Management in Australians with Type 1 or Type 2 diabetes

The aim of this study was to evaluate the preliminary efficacy and user acceptance of My Care Hub (MCH) mobile app—developed to provide evidenced-based support and education on diabetes self-management (DSM). Using a mixed-methods design, the efficacy and acceptability of MCH were measured among people with type 1 or type 2 diabetes after three weeks of intervention. The primary outcome measure was level of involvement with DSM, while the mediating factors were skills and self-efficacy for DSM. Telephone interviews were conducted to elucidate information on perceptions of the app’s impact on participants’ DSM and interest in future use. Statistically significant improvements were observed between pre- and post-intervention measures: DSM activities (4.55 ± 1.14 vs. 5.35 ± 0.84; p = 0.001); skills (7.10 ± 1.99 vs. 7.90 ± 1.67; p = 0.04); and self-efficacy (7.33 ±1.83 vs. 8.07 ± 1.54; p = 0.03). Multivariate analysis showed that self-efficacy had the strongest, though not significant influence on DSM. Interview findings revealed that the app reinforced knowledge and provided motivation to participate in DSM activities. The study suggested a positive impact of MCH on DSM and acceptability by patients. To confirm these promising results, further large scale and long-term studies are required