↓ Skip to main content

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
Altmetric Badge

Readers on

mendeley
101 Mendeley
citeulike
5 CiteULike
connotea
3 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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
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

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 5%
Canada 2 2%
Indonesia 1 <1%
Spain 1 <1%
Australia 1 <1%
Malaysia 1 <1%
Tanzania, United Republic of 1 <1%
Colombia 1 <1%
Unknown 88 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 20%
Student > Master 17 17%
Student > Ph. D. Student 16 16%
Student > Bachelor 13 13%
Professor > Associate Professor 8 8%
Other 27 27%
Readers by discipline Count As %
Medicine and Dentistry 32 32%
Computer Science 15 15%
Social Sciences 13 13%
Nursing and Health Professions 11 11%
Business, Management and Accounting 6 6%
Other 24 24%