AuthorsPagoto, Sherry L.
Waring, Molly E.
May, Christine N.
Ding, Eric Y.
Kunz, Werner H.
Hayes, Rashelle B.
Oleski, Jessica L.
UMass Chan AffiliationsPrevention Research Center
Department of Quantitative Health Sciences
Department of Medicine, Division of Preventive and Behavioral Medicine
Document TypeJournal Article
online social networks
Behavior and Behavior Mechanisms
MetadataShow full item record
AbstractPatients are increasingly using online social networks (ie, social media) to connect with other patients and health care professionals--a trend called peer-to-peer health care. Because online social networks provide a means for health care professionals to communicate with patients, and for patients to communicate with each other, an opportunity exists to use social media as a modality to deliver behavioral interventions. Social media-delivered behavioral interventions have the potential to reduce the expense of behavioral interventions by eliminating visits, as well as increase our access to patients by becoming embedded in their social media feeds. Trials of online social network-delivered behavioral interventions have shown promise, but much is unknown about intervention development and methodology. In this paper, we discuss the process by which investigators can translate behavioral interventions for social media delivery. We present a model that describes the steps and decision points in this process, including the necessary training and reporting requirements. We also discuss issues pertinent to social media-delivered interventions, including cost, scalability, and privacy. Finally, we identify areas of research that are needed to optimize this emerging behavioral intervention modality.
J Med Internet Res. 2016 Jan 29;18(1):e24. doi: 10.2196/jmir.5086. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/39952
RightsCopyright Sherry Pagoto, Molly E Waring, Christine N May, Eric Y Ding, Werner H Kunz, Rashelle Hayes, Jessica L Oleski. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
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