Please use this identifier to cite or link to this item: http://hdl.handle.net/11434/1580
Title: The role of online social networks in consumer health informatics: An example of the implicit incorporation of lean principles.
Book Title: Lean Thinking for Healthcare
Epworth Authors: Wickramasinghe, Nilmini
Editors: Wickramasinghe, Nilmini
Al-Hakim, Latif
Gonzalez, Chris
Tan, Jospeh
Other Authors: Durst, Carolin
Viol, Janine
Keywords: Social Network
Social Network Analysis
Social Network Site
Social Networking
Consumer Health Informatics
Medical Informatics
Obesity
Obesity Epidemic
Social Environment
Health-promoting Behaviours
Qualitative Interviews
Facebook
Online Social Connections
Body Weight
Chair of Health Informatics Management, Epworth HealthCare, Victoria, Australia
Issue Date: 2014
Publisher: Springer New York
Abstract: Consumer health informatics is a relatively new and rapidly expanding area within the field of medical informatics. Central to this discipline is the importance of providing information and support to individuals (consumers) so that they can be empowered and take a central role in their own health and well-being. The rapidly increasing prevalence of obesity is a phenomenon often referred to as the “obesity epidemic” (Obesity: preventing and managing the global epidemic. Report of a WHO Consultation. WHO Technical Report Series 894, WHO, Geneva, 2000). Literature suggests social networks to be one of the most important dimension of people’s social environment that may enable or constrain the adoption of health-promoting behaviors (e.g., The New England Journal of Medicine, 357:370–379, 2007; Social Science & Medicine (1982), 63:1011-1022, 2006). Using data collected in qualitative interviews and via a Facebook application, this research in progress provides first insights on the relationship between online social connections, health-related behaviors, and body weight. An outlook is given on how the use of online social networks may facilitate appropriate health-related behaviors in the context of obesity.
URI: http://hdl.handle.net/11434/1580
DOI: 10.1007/978-1-4614-8036-5_21
ISBN: 978-1-4614-8035-8
Type: Chapter
Affiliated Organisations: Health Informatics
Appears in Collections:Health Informatics

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