A new dimension of health care: systematic review of the uses, benefits, and limitations of social media for health communication

S Anne Moorhead, Diane E Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving, S Anne Moorhead, Diane E Hazlett, Laura Harrison, Jennifer K Carroll, Anthea Irwin, Ciska Hoving

Abstract

Background: There is currently a lack of information about the uses, benefits, and limitations of social media for health communication among the general public, patients, and health professionals from primary research.

Objective: To review the current published literature to identify the uses, benefits, and limitations of social media for health communication among the general public, patients, and health professionals, and identify current gaps in the literature to provide recommendations for future health communication research.

Methods: This paper is a review using a systematic approach. A systematic search of the literature was conducted using nine electronic databases and manual searches to locate peer-reviewed studies published between January 2002 and February 2012.

Results: The search identified 98 original research studies that included the uses, benefits, and/or limitations of social media for health communication among the general public, patients, and health professionals. The methodological quality of the studies assessed using the Downs and Black instrument was low; this was mainly due to the fact that the vast majority of the studies in this review included limited methodologies and was mainly exploratory and descriptive in nature. Seven main uses of social media for health communication were identified, including focusing on increasing interactions with others, and facilitating, sharing, and obtaining health messages. The six key overarching benefits were identified as (1) increased interactions with others, (2) more available, shared, and tailored information, (3) increased accessibility and widening access to health information, (4) peer/social/emotional support, (5) public health surveillance, and (6) potential to influence health policy. Twelve limitations were identified, primarily consisting of quality concerns and lack of reliability, confidentiality, and privacy.

Conclusions: Social media brings a new dimension to health care as it offers a medium to be used by the public, patients, and health professionals to communicate about health issues with the possibility of potentially improving health outcomes. Social media is a powerful tool, which offers collaboration between users and is a social interaction mechanism for a range of individuals. Although there are several benefits to the use of social media for health communication, the information exchanged needs to be monitored for quality and reliability, and the users' confidentiality and privacy need to be maintained. Eight gaps in the literature and key recommendations for future health communication research were provided. Examples of these recommendations include the need to determine the relative effectiveness of different types of social media for health communication using randomized control trials and to explore potential mechanisms for monitoring and enhancing the quality and reliability of health communication using social media. Further robust and comprehensive evaluation and review, using a range of methodologies, are required to establish whether social media improves health communication practice both in the short and long terms.

Keywords: health communication; review; social media.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
PRISMA flow diagram illustrating the study selection procedure.

References

    1. Boyd DM, Ellison NB. Social network sites: Definition, history, and scholarship. J Comp Med Commun. 2008;13:210–230. doi: 10.1111/j.1083-6101.2007.00393.x.
    1. Thackeray R, Neiger BL, Hanson CL, McKenzie JF. Enhancing promotional strategies within social marketing programs: use of Web 2.0 social media. Health Promot Pract. 2008 Oct;9(4):338–43. doi: 10.1177/1524839908325335.
    1. Eyrich N, Padman ML, Sweetser DS. PR practitioners' use of social media tools and communication technology. Public Relations Review. 2008;34:412–414.
    1. McNab C. What social media offers to health professionals and citizens. 2009. [2013-04-04].
    1. Green B, Hope A. Promoting clinical competence using social media. Nurse Educ. 2010;35(3):127–9. doi: 10.1097/NNE.0b013e3181d9502b.
    1. Giustini D. How Web 2.0 is changing medicine. BMJ. 2006 Dec 23;333(7582):1283–4. doi: 10.1136/bmj.39062.555405.80.
    1. Fox S, Jones S. The Social Life of Health Information. 2009. [2013-04-04].
    1. Heidelberger CA. Health Care Professionals’ Use of Online Social Networks. 2011. [2013-04-04].
    1. Dawson J. Doctors join patients in going online for health information. New Media Age. 2010;7
    1. Kaplan AM, Haenlein M. Users of the world, unite! The challenges and opportunities of social media. Business Horizons. 2010;53:59–68.
    1. Short J, Williams E, Christie B. The social psychology of telecommunications. Hoboken, NJ: John Wiley & Sons, Ltd; 1976.
    1. Goffman E. The presentation of self in everyday life. New York: Doubleday Anchor Books; 1959.
    1. Maness JM. Library 2.0 Theory: Web 2.0 and its implications for libraries. 2006. [2013-04-04]. .
    1. Kamel Boulos MN, Wheeler S. The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education. Health Info Libr J. 2007 Mar;24(1):2–23. doi: 10.1111/j.1471-1842.2007.00701.x.
    1. Correa T, Willard Hinsley A, de Zúñiga HG. Who interacts on the Web?: The intersection of users' personality and social media use. Computers in Human Behavior. 2010;26(2):247–253.
    1. Lenhart A, Purcell K, Smith A, Zickuhr K. Social Media & Mobile Internet Use Among Teens and Young Adults. USA: Pew Research Center; 2010. [2013-04-04]. .
    1. Kietzmann JH, Hermkens K, McCarthy IP, Silvestre BS. Social media? Get serious! Understanding the functional building blocks of social media. Business Horizons. 2011;54(3):241–251.
    1. Butterfield S. Social software. 2003. [2013-04-04]. .
    1. Morville P. User experience design. 2004. [2013-04-04]. .
    1. Webb M. Social software consultancy. 2004. [2013-04-04]. .
    1. Smith G. Social software building blocks. 2007. [2013-04-04]. .
    1. Mangold WG, Faulds DJ. Social media: The new hybrid element of the promotion mix. Business Horizons. 2009;52(4):357–365.
    1. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009;6(6):e1000097. doi: 10.1371/journal.pmed1000097.
    1. Freeman B, Chapman S. Is "YouTube" telling or selling you something? Tobacco content on the YouTube video-sharing website. Tob Control. 2007 Jun;16(3):207–10. doi: 10.1136/tc.2007.020024.
    1. Moreno MA, Parks M, Richardson LP. What are adolescents showing the world about their health risk behaviors on MySpace? MedGenMed. 2007;9(4):9.
    1. Adams SA. Blog-based applications and health information: two case studies that illustrate important questions for Consumer Health Informatics (CHI) research. Int J Med Inform. 2010 Jun;79(6):e89–96. doi: 10.1016/j.ijmedinf.2008.06.009.
    1. Clauson KA, Polen HH, Boulos MN, Dzenowagis JH. Scope, completeness, and accuracy of drug information in Wikipedia. Ann Pharmacother. 2008 Dec;42(12):1814–21. doi: 10.1345/aph.1L474.
    1. Frost JH, Massagli MP. Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one another's data. J Med Internet Res. 2008 May;10(3):e15. doi: 10.2196/jmir.1053.
    1. Kovic I, Lulic I, Brumini G. Examining the medical blogosphere: an online survey of medical bloggers. J Med Internet Res. 2008 Sep;10(3):e28. doi: 10.2196/jmir.1118.
    1. Lagu T, Kaufman EJ, Asch DA, Armstrong K. Content of weblogs written by health professionals. J Gen Intern Med. 2008 Oct;23(10):1642–6. doi: 10.1007/s11606-008-0726-6.
    1. Scotch M, Yip KY, Cheung KH. Development of grid-like applications for public health using Web 2.0 mashup techniques. J Am Med Inform Assoc. 2008 Aug;15(6):783–6. doi: 10.1197/jamia.M2731.
    1. Tan L. Psychotherapy 2.0: MySpace blogging as self-therapy. Am J Psychother. 2008;62(2):143–63.
    1. Timpka T, Eriksson H, Ludvigsson J, Ekberg J, Nordfeldt S, Hanberger L. Web 2.0 systems supporting childhood chronic disease management: a pattern language representation of a general architecture. BMC Med Inform Decis Mak. 2008;8:54. doi: 10.1186/1472-6947-8-54.
    1. Beard L, Wilson K, Morra D, Keelan J. A survey of health-related activities on second life. J Med Internet Res. 2009 May;11(2):e17. doi: 10.2196/jmir.1192.
    1. Chou WY, Hunt YM, Beckjord EB, Moser RP, Hesse BW. Social media use in the United States: implications for health communication. J Med Internet Res. 2009 Nov;11(4):e48. doi: 10.2196/jmir.1249.
    1. Denecke K, Nejdl W. How valuable is medical social media data? Content analysis of the medical web. Inform Sciences. 2009;179:1870–1880.
    1. Farmer AD, Bruckner Holt CE, Cook MJ, Hearing SD. Social networking sites: a novel portal for communication. Postgrad Med J. 2009 Sep;85(1007):455–9. doi: 10.1136/pgmj.2008.074674.
    1. Fernandez-Luque L, Elahi N, Grajales FJ. An analysis of personal medical information disclosed in YouTube videos created by patients with multiple sclerosis. Stud Health Technol Inform. 2009;150:292–6.
    1. Hughes B, Joshi I, Lemonde H, Wareham J. Junior physician's use of Web 2.0 for information seeking and medical education: a qualitative study. Int J Med Inform. 2009 Oct;78(10):645–55. doi: 10.1016/j.ijmedinf.2009.04.008.
    1. Jennings A, Powell J, Armstrong N, Sturt J, Dale J. A virtual clinic for diabetes self-management: pilot study. J Med Internet Res. 2009 Mar;11(1):e10. doi: 10.2196/jmir.1111.
    1. Keelan J, Pavri V, Balakrishnan R, Wilson K. An analysis of the Human Papilloma Virus vaccine debate on MySpace blogs. Vaccine. 2010 Feb 10;28(6):1535–40. doi: 10.1016/j.vaccine.2009.11.060.
    1. Kim S. Content analysis of cancer blog posts. J Med Libr Assoc. 2009 Oct;97(4):260–6. doi: 10.3163/1536-5050.97.4.009.
    1. Lupiáñez-Villanueva F, Mayer MA, Torrent J. Opportunities and challenges of Web 2.0 within the health care systems: an empirical exploration. Inform Health Soc Care. 2009 Sep;34(3):117–26. doi: 10.1080/17538150903102265.
    1. Moen A, Smørdal O, Sem I. Web-based resources for peer support - opportunities and challenges. Stud Health Technol Inform. 2009;150:302–6.
    1. Moreno MA, Vanderstoep A, Parks MR, Zimmerman FJ, Kurth A, Christakis DA. Reducing at-risk adolescents' display of risk behavior on a social networking web site: a randomized controlled pilot intervention trial. Arch Pediatr Adolesc Med. 2009 Jan;163(1):35–41. doi: 10.1001/archpediatrics.2008.502.
    1. Moreno MA, Parks MR, Zimmerman FJ, Brito TE, Christakis DA. Display of health risk behaviors on MySpace by adolescents: prevalence and associations. Arch Pediatr Adolesc Med. 2009 Jan;163(1):27–34. doi: 10.1001/archpediatrics.2008.528.
    1. Nordqvist C, Hanberger L, Timpka T, Nordfeldt S. Health professionals' attitudes towards using a Web 2.0 portal for child and adolescent diabetes care: qualitative study. J Med Internet Res. 2009 Apr;11(2):e12. doi: 10.2196/jmir.1152.
    1. Takahashi Y, Uchida C, Miyaki K, Sakai M, Shimbo T, Nakayama T. Potential benefits and harms of a peer support social network service on the internet for people with depressive tendencies: qualitative content analysis and social network analysis. J Med Internet Res. 2009 Jul;11(3):e29. doi: 10.2196/jmir.1142.
    1. Versteeg KM, Knopf JM, Posluszny S, Vockell AL, Britto MT. Teenagers wanting medical advice: Is MySpace the answer? Arch Pediatr Adolesc Med. 2009 Jan;163(1):91–2. doi: 10.1001/archpediatrics.2008.503.
    1. Adams SA. Revisiting the online health information reliability debate in the wake of "web 2.0": an inter-disciplinary literature and website review. Int J Med Inform. 2010 Jun;79(6):391–400. doi: 10.1016/j.ijmedinf.2010.01.006.
    1. Ahmed OH, Sullivan SJ, Schneiders AG, McCrory P. iSupport: do social networking sites have a role to play in concussion awareness? Disabil Rehabil. 2010;32(22):1877–83. doi: 10.3109/09638281003734409.
    1. Avery E, Lariscy R, Amador E, Ickowitz T, Primm C, Taylor A. Diffusion of Social Media Among Public Relations Practitioners in Health Departments Across Various Community Population Sizes. Journal of Public Relations Research. 2010 Jul 2010;22(3):336–358. doi: 10.1080/10627261003614427.
    1. Clauson KA, Ekins J, Goncz CE. Use of blogs by pharmacists. Am J Health Syst Pharm. 2010 Dec 1;67(23):2043–8. doi: 10.2146/ajhp100065.
    1. Chew C, Eysenbach G. Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PLoS One. 2010 Nov;5(11):e14118. doi: 10.1371/journal.pone.0014118.
    1. Cobb NK, Graham AL, Abrams DB. Social network structure of a large online community for smoking cessation. Am J Public Health. 2010;100(7):1282–1289. doi: 10.2105/AJPH.2009.165449.
    1. Colineau N, Paris C. Talking about your health to strangers: understanding the use of online social networks by patients. New Review of Hypermedia and Multimedia. 2010 Apr 2010;16(1-2):141–160. doi: 10.1080/13614568.2010.496131.
    1. Corley CD, Cook DJ, Mikler AR, Singh KP. Text and structural data mining of influenza mentions in Web and social media. Int J Environ Res Public Health. 2010 Feb;7(2):596–615. doi: 10.3390/ijerph7020596.
    1. Ding H, Zhang J. Social media and participatory risk communication during the H1N1 flu epidemic: A comparative study. China Media Res. 2010;6:80–90.
    1. Ekberg J, Ericson L, Timpka T, Eriksson H, Nordfeldt S, Hanberger L, Ludvigsson J. Web 2.0 Systems Supporting Childhood Chronic Disease Management: Design Guidelines Based on Information Behaviour and Social Learning Theories. J Med Syst. 2008 Oct 2008;34(2):107–117. doi: 10.1007/s10916-008-9222-0.
    1. Greene JA, Choudhry NK, Kilabuk E, Shrank WH. Online social networking by patients with diabetes: a qualitative evaluation of communication with Facebook. J Gen Intern Med. 2011 Mar;26(3):287–92. doi: 10.1007/s11606-010-1526-3.
    1. Hu Y, Sundar S. Effects of online health sources on credibility and behavioral Intentions. Commun Res. 2010;37:105–132. doi: 10.1177/0093650209351512.
    1. Hwang KO, Ottenbacher AJ, Green AP, Cannon-Diehl MR, Richardson O, Bernstam EV, Thomas EJ. Social support in an Internet weight loss community. Int J Med Inform. 2010 Jan;79(1):5–13. doi: 10.1016/j.ijmedinf.2009.10.003.
    1. Kim K, Kwon N. Profile of e-patients: analysis of their cancer information-seeking from a national survey. J Health Commun. 2010 Oct;15(7):712–33. doi: 10.1080/10810730.2010.514031.
    1. Kontos EZ, Emmons KM, Puleo E, Viswanath K. Communication inequalities and public health implications of adult social networking site use in the United States. J Health Commun. 2010 Dec;15 Suppl 3:216–35. doi: 10.1080/10810730.2010.522689.
    1. Lagu T, Hannon NS, Rothberg MB, Lindenauer PK. Patients' evaluations of health care providers in the era of social networking: an analysis of physician-rating websites. J Gen Intern Med. 2010 Sep;25(9):942–6. doi: 10.1007/s11606-010-1383-0.
    1. Lariscy RW, Reber BH, Paek H. Examination of Media Channels and Types as Health Information Sources for Adolescents: Comparisons for Black/White, Male/Female, Urban/Rural. Journal of Broadcasting & Electronic Media. 2010 Mar 2010;54(1):102–120. doi: 10.1080/08838150903550444.
    1. Lo AS, Esser MJ, Gordon KE. YouTube: a gauge of public perception and awareness surrounding epilepsy. Epilepsy Behav. 2010 Apr;17(4):541–5. doi: 10.1016/j.yebeh.2010.02.004.
    1. Nordfeldt S, Hanberger L, Berterö C. Patient and parent views on a Web 2.0 Diabetes Portal--the management tool, the generator, and the gatekeeper: qualitative study. J Med Internet Res. 2010;12(2):e17. doi: 10.2196/jmir.1267.
    1. Orizio G, Schulz P, Gasparotti C, Caimi L, Gelatti U. The world of e-patients: A content analysis of online social networks focusing on diseases. Telemed J E Health. 2010 Dec;16(10):1060–6. doi: 10.1089/tmj.2010.0085.
    1. Rice E, Monro W, Barman-Adhikari A, Young SD. Internet use, social networking, and HIV/AIDS risk for homeless adolescents. J Adolesc Health. 2010 Dec;47(6):610–3. doi: 10.1016/j.jadohealth.2010.04.016.
    1. Sanford AA. "I Can Air My Feelings Instead of Eating Them": Blogging as Social Support for the Morbidly Obese. Communication Studies. 2010 Nov 2010;61(5):567–584. doi: 10.1080/10510974.2010.514676.
    1. Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: twitter and antibiotics. Am J Infect Control. 2010 Apr;38(3):182–8. doi: 10.1016/j.ajic.2009.11.004.
    1. Selby P, van Mierlo T, Voci SC, Parent D, Cunningham JA. Online social and professional support for smokers trying to quit: an exploration of first time posts from 2562 members. J Med Internet Res. 2010 Aug;12(3):e34. doi: 10.2196/jmir.1340.
    1. Tian Y. Organ donation on Web 2.0: content and audience analysis of organ donation videos on YouTube. Health Commun. 2010 Apr;25(3):238–46. doi: 10.1080/10410231003698911.
    1. Wicks P, Massagli M, Frost J, Brownstein C, Okun S, Vaughan T, Bradley R, Heywood J. Sharing health data for better outcomes on PatientsLikeMe. J Med Internet Res. 2010 Jun;12(2):e19. doi: 10.2196/jmir.1549.
    1. Dumaij AC, Tijssen EC. On-line health companion contact among chronically ill in the Netherlands. Health Technol (Berl) 2011 Aug;1(1):5–23. doi: 10.1007/s12553-011-0003-2.
    1. Baptist AP, Thompson M, Grossman KS, Mohammed L, Sy A, Sanders GM. Social media, text messaging, and email-preferences of asthma patients between 12 and 40 years old. J Asthma. 2011 Oct;48(8):824–30. doi: 10.3109/02770903.2011.608460.
    1. Bender JL, Jimenez-Marroquin MC, Jadad AR. Seeking support on facebook: a content analysis of breast cancer groups. J Med Internet Res. 2011 Feb;13(1):e16. doi: 10.2196/jmir.1560.
    1. Bosslet GT, Torke AM, Hickman SE, Terry CL, Helft PR. The patient-doctor relationship and online social networks: results of a national survey. J Gen Intern Med. 2011 Oct;26(10):1168–74. doi: 10.1007/s11606-011-1761-2.
    1. Chou WY, Hunt Y, Folkers A, Augustson E. Cancer survivorship in the age of YouTube and social media: a narrative analysis. J Med Internet Res. 2011 Jan;13(1):e7. doi: 10.2196/jmir.1569.
    1. Doing-Harris KM, Zeng Treitler Q. Computer-assisted update of a consumer health vocabulary through mining of social network data. J Med Internet Res. 2011;13(2):e37. doi: 10.2196/jmir.1636.
    1. Dowdell EB, Burgess AW, Flores JR. Original research: online social networking patterns among adolescents, young adults, and sexual offenders. Am J Nurs. 2011 Jul;111(7):28–36; quiz 37. doi: 10.1097/01.NAJ.0000399310.83160.73.
    1. Egan KG, Moreno MA. Prevalence of stress references on college freshmen Facebook profiles. Comput Inform Nurs. 2011 Oct;29(10):586–92. doi: 10.1097/NCN.0b013e3182160663.
    1. Egan KG, Moreno MA. Alcohol references on undergraduate males' Facebook profiles. Am J Mens Health. 2011 Sep;5(5):413–20. doi: 10.1177/1557988310394341.
    1. Friedman DB, Koskan A, Rose ID. Prostate cancer guidelines on Web 2.0-based sites: the screening dilemma continues online. J Cancer Educ. 2011 Mar;26(1):188–93. doi: 10.1007/s13187-010-0180-0.
    1. Frimmings RE, Polsgrove MJ, Bower GG. Evaluation of a health and fitness social media experience. Am J Health Educ. 2011;42(4):222–227.
    1. Frost J, Okun S, Vaughan T, Heywood J, Wicks P. Patient-reported outcomes as a source of evidence in off-label prescribing: analysis of data from PatientsLikeMe. J Med Internet Res. 2011;13(1):e6. doi: 10.2196/jmir.1643.
    1. Gajaria A, Yeung E, Goodale T, Charach A. Beliefs about attention-deficit/hyperactivity disorder and response to stereotypes: youth postings in Facebook groups. J Adolesc Health. 2011 Jul;49(1):15–20. doi: 10.1016/j.jadohealth.2010.09.004.
    1. Garcia-Romero MT, Prado F, Dominguez-Cherit J, Hojyo-Tomomka MT, Arenas R. Teledermatology via a social networking web site: a pilot study between a general hospital and a rural clinic. Telemed J E Health. 2011 Oct;17(8):652–5. doi: 10.1089/tmj.2011.0038.
    1. Hanson C, West J, Neiger B, Thackeray R, Barnes M, McIntyre E. Use and acceptance of social media among health educators. Am J Health Educ. 2011;42(4):197–204.
    1. Heaivilin N, Gerbert B, Page JE, Gibbs JL. Public health surveillance of dental pain via Twitter. J Dent Res. 2011 Sep;90(9):1047–51. doi: 10.1177/0022034511415273.
    1. Jent JF, Eaton CK, Merrick MT, Englebert NE, Dandes SK, Chapman AV, Hershorin ER. The decision to access patient information from a social media site: what would you do? J Adolesc Health. 2011 Oct;49(4):414–20. doi: 10.1016/j.jadohealth.2011.02.004.
    1. Kadry B, Chu LF, Kadry B, Gammas D, Macario A. Analysis of 4999 online physician ratings indicates that most patients give physicians a favorable rating. J Med Internet Res. 2011 Nov;13(4):e95. doi: 10.2196/jmir.1960.
    1. Kishimoto K, Fukushima N. Use of anonymous Web communities and websites by medical consumers in Japan to research drug information. Yakugaku Zasshi. 2011;131(5):685–95.
    1. Kukreja P, Sheehan AH, Riggins J. Use of social media by pharmacy preceptors. Am J Pharm Educ a176. Accession number 2217. 2011;75(9):1104.
    1. Lariscy R, Reber B, Paek H. Exploration of health concerns and the role of social media information among rural and urban adolescents: A preliminary study. Int Electr J Hea Educ. 2011;14:16–36.
    1. Lau AS. Hospital-based nurses' perceptions of the adoption of Web 2.0 tools for knowledge sharing, learning, social interaction and the production of collective intelligence. J Med Internet Res. 2011 Nov;13(4):e92. doi: 10.2196/jmir.1398.
    1. Liang B, Scammon DL. E-Word-of-Mouth on health social networking sites: An opportunity for tailored health communication. J Consumer Behav. 2011 Dec;10(6):322–331. doi: 10.1002/cb.378.
    1. Lord S, Brevard J, Budman S. Connecting to young adults: an online social network survey of beliefs and attitudes associated with prescription opioid misuse among college students. Subst Use Misuse. 2011 Jan;46(1):66–76. doi: 10.3109/10826084.2011.521371.
    1. Morturu ST, Liu H. Quantifying the trustworthiness of social media content. Distrib Parallel Dat. 2011;29:239–260.
    1. O'Dea B, Campbell A. Healthy connections: online social networks and their potential for peer support. Stud Health Technol Inform. 2011;168:133–40.
    1. Omurtag K, Jimenez PT, Ratts V, Odem R, Cooper AR. The ART of social networking: how SART member clinics are connecting with patients online. Fertil Steril. 2012 Jan;97(1):88–94. doi: 10.1016/j.fertnstert.2011.10.001.
    1. Rajagopalan MS, Khanna VK, Leiter Y, Stott M, Showalter TN, Dicker AP, Lawrence YR. Patient-oriented cancer information on the internet: a comparison of wikipedia and a professionally maintained database. J Oncol Pract. 2011 Sep;7(5):319–23. doi: 10.1200/JOP.2010.000209.
    1. Ralph LJ, Berglas NF, Schwartz SL, Brindis CD. Finding teens in their space: Using social networking sites to connect youth to sexual health services. Sex Res Soc Pol. 2011;8:38–49.
    1. Sajadi KP, Goldman HB. Social networks lack useful content for incontinence. Urology. 2011 Oct;78(4):764–7. doi: 10.1016/j.urology.2011.04.074.
    1. Salathé M, Khandelwal S. Assessing vaccination sentiments with online social media: implications for infectious disease dynamics and control. PLoS Comput Biol. 2011 Oct;7(10):e1002199. doi: 10.1371/journal.pcbi.1002199.
    1. Selkie EM, Benson M, Moreno M. Adolescents' Views Regarding Uses of Social Networking Websites and Text Messaging for Adolescent Sexual Health Education. Am J Health Educ. 2011 Dec;42(4):205–212.
    1. Setoyama Y, Yamazaki Y, Namayama K. Benefits of peer support in online Japanese breast cancer communities: differences between lurkers and posters. J Med Internet Res. 2011;13(4):e122. doi: 10.2196/jmir.1696.
    1. Shah SG, Robinson I. Patients' perspectives on self-testing of oral anticoagulation therapy: content analysis of patients' internet blogs. BMC Health Serv Res. 2011;11:25. doi: 10.1186/1472-6963-11-25.
    1. Shrank WH, Choudhry NK, Swanton K, Jain S, Greene JA, Harlam B, Patel KP. Variations in structure and content of online social networks for patients with diabetes. Arch Intern Med. 2011 Sep 26;171(17):1589–91. doi: 10.1001/archinternmed.2011.407.
    1. Signorini A, Segre AM, Polgreen PM. The use of Twitter to track levels of disease activity and public concern in the U.S. during the influenza A H1N1 pandemic. PLoS One. 2011 May;6(5):e19467. doi: 10.1371/journal.pone.0019467.
    1. Turner-McGrievy G, Tate D. Tweets, Apps, and Pods: Results of the 6-month Mobile Pounds Off Digitally (Mobile POD) randomized weight-loss intervention among adults. J Med Internet Res. 2011 Dec;13(4):e120. doi: 10.2196/jmir.1841.
    1. Usher W. Types of social media (Web 2.0) used by Australian allied health professionals to deliver early twenty-first-century practice promotion and health care. Soc Work Health Care. 2011 Apr;50(4):305–29. doi: 10.1080/00981389.2010.534317.
    1. Van Uden-Kraan CF, Drossaert CH, Taal E, Smit WM, Bernelot Moens HJ, Van de Laar MA. Determinants of engagement in face-to-face and online patient support groups. J Med Internet Res. 2011 Dec;13(4):e106. doi: 10.2196/jmir.1718.
    1. Veinot TC, Campbell TR, Kruger D, Grodzinski A, Franzen S. Drama and danger: The opportunities and challenges of promoting youth sexual health through online social networks. Proceedings of the AMIA Annual Symposium. Improving Health: Informatics and IT Changing the World; AMIA Annual Symposium. Improving Health: Informatics and IT Changing the World; Oct. 22-26, 2011; Washington, DC. 2011.
    1. Weitzman ER, Adida B, Kelemen S, Mandl KD. Sharing data for public health research by members of an international online diabetes social network. PLoS One. 2011 Apr;6(4):e19256. doi: 10.1371/journal.pone.0019256.
    1. Young SD, Rice E. Online social networking technologies, HIV knowledge, and sexual risk and testing behaviors among homeless youth. AIDS Behav. 2011 Feb;15(2):253–60. doi: 10.1007/s10461-010-9810-0.
    1. Fernandez-Luque L, Karlsen R, Melton GB. HealthTrust: a social network approach for retrieving online health videos. J Med Internet Res. 2012 Jan;14(1):e22. doi: 10.2196/jmir.1985.
    1. Marcus MA, Westra HA, Eastwood JD, Barnes KL, Mobilizing Minds Research Group What are young adults saying about mental health? An analysis of Internet blogs. J Med Internet Res. 2012 Jan;14(1):e17. doi: 10.2196/jmir.1868.
    1. O'Grady L, Wathen CN, Charnaw-Burger J, Betel L, Shachak A, Luke R, Hockema S, Jadad AR. The use of tags and tag clouds to discern credible content in online health message forums. Int J Med Inform. 2012 Jan;81(1):36–44. doi: 10.1016/j.ijmedinf.2011.10.001.
    1. Rhebergen MD, Lenderink AF, van Dijk FJ, Hulshof CT. Comparing the use of an online expert health network against common information sources to answer health questions. J Med Internet Res. 2012 Feb;14(1):e9. doi: 10.2196/jmir.1886.
    1. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977 Mar;33(1):159–74.
    1. Downs SH, Black N. The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions. Journal of Epidemiology & Community Health. 1998 Jun 1998;52(6):377–384. doi: 10.1136/jech.52.6.377.
    1. Lim SM, Shin ES, Lee SH, Seo KH, Jung YM, Jang JE. Tools for assessing quality and risk of bias by levels of evidence. J Korean Med Assoc. 2011;54(4):419. doi: 10.5124/jkma.2011.54.4.419.
    1. National Health and Medical Research Council How to review the evidence: systematic identification and review of the scientific literature. 2000. [2013-04-04]. .
    1. David I, Poissant L, Rochette A. Clinicians' expectations of web 2.0 as a mechanism for knowledge transfer of stroke best practices. J Med Internet Res. 2012 Sep;14(5):e121. doi: 10.2196/jmir.2016.
    1. Stewart SA, Abidi SS. Applying social network analysis to understand the knowledge sharing behaviour of practitioners in a clinical online discussion forum. J Med Internet Res. 2012 Dec;14(6):e170. doi: 10.2196/jmir.1982.
    1. Gilbert E, Karahalios K. Predicting tie strength with social media. Proceedings of the SIGHI Conference on Human Factors in Computing Systems; SIGHI Conference on Human Factors in Computing Systems; April 4-9, 2009; Boston, MA. 2009. pp. 211–220.

Source: PubMed

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