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Web 2.0 systems supporting childhood chronic disease management: A pattern language representation of a general architecture

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2008
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Citations

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33 Dimensions

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182 Mendeley
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5 CiteULike
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Title
Web 2.0 systems supporting childhood chronic disease management: A pattern language representation of a general architecture
Published in
BMC Medical Informatics and Decision Making, November 2008
DOI 10.1186/1472-6947-8-54
Pubmed ID
Authors

Toomas Timpka, Henrik Eriksson, Johnny Ludvigsson, Joakim Ekberg, Sam Nordfeldt, Lena Hanberger

Abstract

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.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 3%
Canada 2 1%
Malaysia 1 <1%
Colombia 1 <1%
Spain 1 <1%
Tanzania, United Republic of 1 <1%
Unknown 171 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 16%
Researcher 25 14%
Student > Ph. D. Student 25 14%
Student > Bachelor 18 10%
Professor 12 7%
Other 42 23%
Unknown 31 17%
Readers by discipline Count As %
Medicine and Dentistry 43 24%
Nursing and Health Professions 21 12%
Social Sciences 18 10%
Computer Science 16 9%
Psychology 13 7%
Other 31 17%
Unknown 40 22%