Yearb Med Inform 2013; 22(01): 159-161
DOI: 10.1055/s-0038-1638848
Original Article
Georg Thieme Verlag KG Stuttgart

Personal Health and Consumer Informatics

The Impact of Health Oriented Social Media Applications on Health Outcomes
M. C. Gibbons
1   Johns Hopkins Urban Health Institute, Johns Hopkins University, Baltimore, MD, USA
› Author Affiliations
Further Information

Correpsondence to:

Michael Christopher Gibbons, MD, MPH
Associate Director, Johns Hopkins Urban Health Institute
Assistant Professor, Medicine, Public Health and Health Informatics
Johns Hopkins University
Baltimore, MD 21205, USA
Phone: +1 410 502 3845   
Fax: +1 410 502 5831   

Publication History

Publication Date:
05 March 2018 (online)

 

Summary

Objectives: The rapid evolution in the world-wide use of Social Media tools suggests the emergence of a global phenomenon that may have implications in the Personal Health and Consumer Health Informatics domains. However the impact of these tools on health outcomes is not known. The goal of this research was to review the randomized controlled trial (RCT) evidence of the impact of health oriented Social Media informatics tools on health outcomes.

Methods: Evaluations of Social Media consumer health tools were systematically reviewed. Research was limited to studies published in the English language, published in Medline, published in the calendar year 2012 and limited to studies that utilized a RCT methodological design.

Results and Conclusions: Two high quality Randomized Controlled Trials among over 600 articles published in Medline were identified. These studies indicate that Social Media interventions may be able to significantly improve pain control among patients with chronic pain and enhance weight loss maintenance among individuals attempting to lose weight. Significantly more research needs to be done to confirm these early findings, evaluate additional health outcomes and further evaluate emerging health oriented Social Media interventions. Chronic pain and weight control have both socially oriented determinants. These studies suggest that understanding the social component of a disease may ultimately provide novel therapeutic targets and socio-clinical interventional strategies.


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  • References

  • 1 Kietzmann JH, Hermkens K, McCarthy IP, Silvestre BS. Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons 2012; 54: 241-51.
  • 2 Levy D. Emerging mHealth; Paths for Growth. Price Water house Coopers. 2012 p. 1-44.
  • 3 Freierman S. One Million Apps and Counting at a Fast Pace. New York Times. 2011 Dec 11.
  • 4 Bannon D. State of Media: The Social media Report, 2012. The Nielsen Company; 2012
  • 5 Qualman E. 10 WOW Social Media Statistics. Socialnomics. 2012 http://www.socialnomics.net/2011/06/07/10-wow-social-media-statistics/
  • 6 Fox S. The Social Life of Health Information, 2011. Pew Charitable Trusts. 2011 p. 1-45.
  • 7 Health Research Institute. Social Media “Likes” Healthcare; From Marketing to Social Business. Price Waterhouse Coopers. 2012 p. 1-40.
  • 8 Fox S, Duggan M. Mobile Health 2012. Pew Charitable Trusts. 2012 p. 1-29.
  • 9 Qiang CZ, Yamamichi M, Hausman V, Miller R, Altman D. Mobile Applications for the Health Sector. ICT Sector Unit, editor. New York, NY: The World Bank; 2012. p. 1-98.
  • 10 Gibbons MC, Wilson RF, Samal L, Lehman CU, Dickersin K, Lehmann HP. et al. Impact of consumer health informatics applications. (Prepared by Johns Hopkins Evidence Based Practice Center Under contract No.HHSA 290-2007-10061-I), editor. Evid. Rep. Technol. Assess. (Full. Rep.) 09(10)-E019[188]. 2009 p. 1-546.

Correpsondence to:

Michael Christopher Gibbons, MD, MPH
Associate Director, Johns Hopkins Urban Health Institute
Assistant Professor, Medicine, Public Health and Health Informatics
Johns Hopkins University
Baltimore, MD 21205, USA
Phone: +1 410 502 3845   
Fax: +1 410 502 5831   

  • References

  • 1 Kietzmann JH, Hermkens K, McCarthy IP, Silvestre BS. Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons 2012; 54: 241-51.
  • 2 Levy D. Emerging mHealth; Paths for Growth. Price Water house Coopers. 2012 p. 1-44.
  • 3 Freierman S. One Million Apps and Counting at a Fast Pace. New York Times. 2011 Dec 11.
  • 4 Bannon D. State of Media: The Social media Report, 2012. The Nielsen Company; 2012
  • 5 Qualman E. 10 WOW Social Media Statistics. Socialnomics. 2012 http://www.socialnomics.net/2011/06/07/10-wow-social-media-statistics/
  • 6 Fox S. The Social Life of Health Information, 2011. Pew Charitable Trusts. 2011 p. 1-45.
  • 7 Health Research Institute. Social Media “Likes” Healthcare; From Marketing to Social Business. Price Waterhouse Coopers. 2012 p. 1-40.
  • 8 Fox S, Duggan M. Mobile Health 2012. Pew Charitable Trusts. 2012 p. 1-29.
  • 9 Qiang CZ, Yamamichi M, Hausman V, Miller R, Altman D. Mobile Applications for the Health Sector. ICT Sector Unit, editor. New York, NY: The World Bank; 2012. p. 1-98.
  • 10 Gibbons MC, Wilson RF, Samal L, Lehman CU, Dickersin K, Lehmann HP. et al. Impact of consumer health informatics applications. (Prepared by Johns Hopkins Evidence Based Practice Center Under contract No.HHSA 290-2007-10061-I), editor. Evid. Rep. Technol. Assess. (Full. Rep.) 09(10)-E019[188]. 2009 p. 1-546.