Yearb Med Inform 2011; 20(01): 131-138
DOI: 10.1055/s-0038-1638751
Working Group Contributions
Georg Thieme Verlag KG Stuttgart

The Role of Social Media for Patients and Consumer Health

Contribution of the IMIA Consumer Health Informatics Working Group
A. Y. S. Lau
1   Centre for Health Informatics, Australian Institute of Health Innovation, University of New South Wales, Sydney, Australia
,
K. A. Siek
2   Wellness Innovation and Interaction Laboratory, University of Colorado at Boulder, Department of Computer Science, Boulder, USA
,
L. Fernandez-Luque
3   Northern Research Institute, Tromsø, Norway
,
H. Tange
4   Caphri School of Public Health and Primary Care, Maastricht University, The Netherlands
,
P. Chhanabhai
5   Department of Information Science, University of Otago, New Zealand
,
S. Y. W. Li
6   Department of Sociology and Social Policy, Lingnan University, Hong Kong
,
P. L. Elkin
7   Department of Internal Medicine Director, Center for Biomedical Informatics Mount Sinai School of Medicine, New York, USA
,
A. Arjabi
8   School of Engineering and Digital Arts, University of Kent, Canterbury, UK
,
L. Walczowski
8   School of Engineering and Digital Arts, University of Kent, Canterbury, UK
,
C. S. Ang
8   School of Engineering and Digital Arts, University of Kent, Canterbury, UK
,
G. Eysenbach
9   Centre for global eHealth Innovation, University Health Network, Toronto, Canada
10   Department of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Canada
› Institutsangaben
Weitere Informationen

Publikationsverlauf

Publikationsdatum:
06. März 2018 (online)

Summary

Objectives

To provide an overview on social media for consumers and patients in areas of health behaviours and outcomes.

Methods

A directed review of recent literature.

Results

We discuss the limitations and challenges of social media, ranging from social network sites (SNSs), computer games, mobile applications, to online videos. An overview of current users of social media (Generation Y), and potential users (such as low socioeconomic status and the chronically ill populations) is also presented. Future directions in social media research are also discussed.

Conclusions

We encouragethe health informaticscommunity to consider the socioeconomic class, age, culture, and literacy level of their populations, and select an appropriate medium and platform when designing social networkedinterventionsforhealth.Little isknown about the impact of second-hand experiences faciliated by social media, nor the quality and safety of social networks on health. Methodologies and theories from human computer interaction, human factors engineering and psychology may help guide the challenges in design-ingand evaluatingsocial networkedinterventionsforhealth. Further, by analysing how people search and navigate social media for health purposes, infodemiology and infoveillance are promising areas of research that should provide valuable insights on present and emergening health behaviours on a population scale.

 
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