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Web 2.0 systems supporting childhood chronic disease management: A pattern language representation of a general architecture
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science. Östergötlands Läns Landsting, Centre for Public Health Sciences, Centre for Public Health Sciences.ORCID iD: 0000-0001-6049-5402
Linköping University, The Institute of Technology. Linköping University, Department of Computer and Information Science, MDALAB - Human Computer Interfaces.
Linköping University, Faculty of Health Sciences. Linköping University, Department of Clinical and Experimental Medicine, Pediatrics . Östergötlands Läns Landsting, Centre of Paediatrics and Gynecology and Obstetrics, Department of Paediatrics in Linköping.
Linköping University, Faculty of Health Sciences. Linköping University, Department of Medicine and Health Sciences, Division of Preventive and Social Medicine and Public Health Science.
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2008 (English)In: BMC Medical Informatics and Decision Making, ISSN 1472-6947, Vol. 8Article in journal (Refereed) Published
Abstract [en]

Background. Chronic disease management is a global health concern. By the time they reach adolescence, 10-15% of all children live with a chronic disease. The role of educational interventions in facilitating adaptation to chronic disease is receiving growing recognition, and current care policies advocate greater involvement of patients in self-care. Web 2.0 is an umbrella term for new collaborative Internet services characterized by user participation in developing and managing content. Key elements include Really Simple Syndication (RSS) to rapidly disseminate awareness of new information, weblogs (blogs) to describe new trends, wikis to share knowledge, and podcasts to make information available on personal media players. This study addresses the potential to develop Web 2.0 services for young persons with a chronic disease. It is acknowledged that the management of childhood chronic disease is based on interplay between initiatives and resources on the part of patients, relatives, and health care professionals, and where the balance shifts over time to the patients and their families. Methods. Participatory action research was used to stepwise define a design specification in the form of a pattern language. Support for children diagnosed with diabetes Type 1 was used as the example area. Each individual design pattern was determined graphically using card sorting methods, and textually in the form Title, Context, Problem, Solution, Examples and References. Application references were included at the lowest level in the graphical overview in the pattern language but not specified in detail in the textual descriptions. Results. The design patterns are divided into functional and non-functional design elements, and formulated at the levels of organizational, system, and application design. The design elements specify access to materials for development of the competences needed for chronic disease management in specific community settings, endorsement of self-learning through online peer-to-peer communication, and systematic accreditation and evaluation of materials and processes. Conclusion. The use of design patterns allows representing the core design elements of a Web 2.0 system upon which an 'ecological' development of content respecting these constraints can be built. Future research should include evaluations of Web 2.0 systems implemented according to the architecture in practice settings.

Place, publisher, year, edition, pages
2008. Vol. 8
National Category
Medical and Health Sciences
URN: urn:nbn:se:liu:diva-43830DOI: 10.1186/1472-6947-8-54Local ID: 74890OAI: diva2:264690
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-09-05

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Timpka, ToomasEriksson, HenrikLudvigsson, JohnnyEkberg, JoakimNordfeldt, SamHanberger, Lena
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Faculty of Health SciencesDivision of Preventive and Social Medicine and Public Health ScienceCentre for Public Health SciencesThe Institute of TechnologyMDALAB - Human Computer InterfacesPediatrics Department of Paediatrics in Linköping
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BMC Medical Informatics and Decision Making
Medical and Health Sciences

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