A Model for Ubiquitous Care of Noncommunicable Diseases

The ubiquitous computing, or ubicomp, is a promising technology to help chronic diseases patients managing activities, offering support to them anytime, anywhere. Hence, ubicomp can aid community and health organizations to continuously communicate with patients and to offer useful resources for their self-management activities. Communication is prioritized in works of ubiquitous health for noncommunicable diseases care, but the management of resources is not commonly employed. We propose the UDuctor, a model for ubiquitous care of noncommunicable diseases. UDuctor focuses the resources offering, without losing self-management and communication supports. We implemented a system and applied it in two practical experiments. First, ten chronic patients tried the system and filled out a questionnaire based on the technology acceptance model. After this initial evaluation, an alpha test was done. The system was used daily for one month and a half by a chronic patient. The results were encouraging and show potential for implementing UDuctor in real-life situations.

[1]  Vassilis Koutkias,et al.  A Personalized Framework for Medication Treatment Management in Chronic Care , 2010, IEEE Transactions on Information Technology in Biomedicine.

[2]  Doo-Kwon Baik,et al.  A Context-Aware Fitness Guide System for Exercise Optimization in U-Health , 2009, IEEE Transactions on Information Technology in Biomedicine.

[3]  Carsten Holtmann,et al.  Usage of Accelerometers in Home Care for Multiple Sclerosis Patients , 2007, ECEH.

[4]  Luca Chittaro,et al.  Smarter Phones for Healthier Lifestyles: An Adaptive Fitness Game , 2010, IEEE Pervasive Computing.

[5]  Mahadev Satyanarayanan,et al.  Pervasive computing: vision and challenges , 2001, IEEE Wirel. Commun..

[6]  Cristiano André da Costa,et al.  Continuum: A service-based software infrastructure for ubiquitous computing , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

[7]  R. Likert.  “Technique for the Measurement of Attitudes, A” , 2022, The SAGE Encyclopedia of Research Design.

[8]  M. Meyyappan,et al.  U-Health Smart Home , 2011, IEEE Nanotechnology Magazine.

[9]  Michael Winikoff,et al.  Developing intelligent agent systems - a practical guide , 2004, Wiley series in agent technology.

[10]  Thomas Bodenheimer,et al.  Improving primary care for patients with chronic illness. , 2002, JAMA.

[11]  Christof Weinhardt,et al.  Medical Opportunities by Mobile IT Usage – A Case Study in the Stroke Chain of Survival , 2007 .

[12]  E. Wagner,et al.  Care for chronic diseases , 2002, BMJ : British Medical Journal.

[13]  Gregory D. Abowd,et al.  A Conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications , 2001, Hum. Comput. Interact..

[14]  Deborah Estrin,et al.  Perspectives on Pervasive Health from Some of the Field's Leading Researchers , 2011, IEEE Pervasive Computing.

[15]  Jorge L. V. Barbosa,et al.  MUCS: A model for ubiquitous commerce support , 2011, Electron. Commer. Res. Appl..

[16]  Brian T. Austin,et al.  Improving chronic illness care: translating evidence into action. , 2001, Health affairs.

[17]  Mark Weiser.  The computer for the 21st Century , 2002 .

[18]  Ilias Maglogiannis,et al.  Emergency Fall Incidents Detection in Assisted Living Environments Utilizing Motion, Sound, and Visual Perceptual Components , 2011, IEEE Transactions on Information Technology in Biomedicine.

[19]  Jorge L. V. Barbosa,et al.  Hefestos: a model for ubiquitous accessibility support , 2012, PETRA '12.

[20]  Débora Nice Ferrari Barbosa,et al.  Content distribution in trail-aware environments , 2010, Journal of the Brazilian Computer Society.

[21]  Jakob E. Bardram,et al.  Pervasive Computing Support for Hospitals: An overview of the Activity-Based Computing Project , 2007, IEEE Pervasive Computing.

[22]  Mandy Scheermesser,et al.  Adopting Pervasive Computing for Routine Use in Healthcare , 2010, IEEE Pervasive Computing.

[23]  Abdullah Alkenizan,et al.  Innovative care for chronic conditions: building blocks for action , 2004, Annals of Saudi Medicine.

[24]  E H Wagner,et al.  Chronic disease management: what will it take to improve care for chronic illness? , 1998, Effective clinical practice : ECP.

[25]  Ilkka Korhonen,et al.  Mobile Diary for Wellness Management—Results on Usage and Usability in Two User Studies , 2008, IEEE Transactions on Information Technology in Biomedicine.

[26]  Federica Paganelli,et al.  ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance , 2008, International journal of telemedicine and applications.

[27]  Federica Paganelli,et al.  An Ontology-Based System for Context-Aware and Configurable Services to Support Home-Based Continuous Care , 2011, IEEE Transactions on Information Technology in Biomedicine.

[28]  James H. Aylor,et al.  Computer for the 21st Century , 1999, Computer.

[29]  Cheolho Yoon,et al.  Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN , 2007, Electron. Commer. Res. Appl..

[30]  A. Alwan.  Global status report on noncommunicable diseases 2010. , 2011 .

[31]  Ilkka Korhonen,et al.  Empowering Citizens for Well-being and Chronic Disease Management With Wellness Diary , 2010, IEEE Transactions on Information Technology in Biomedicine.

[32]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[33]  Jorge L. V. Barbosa,et al.  A ubiquitous learning model focused on learner interaction , 2011, Int. J. Learn. Technol..

[34]  Roy T. Fielding,et al.  Principled design of the modern Web architecture , 2000, Proceedings of the 2000 International Conference on Software Engineering. ICSE 2000 the New Millennium.