Health-Seeking Influence Reflected by Online Health-Related Messages Received on Social Media: Cross-Sectional Survey
- PMID: 29146568
- PMCID: PMC5709655
- DOI: 10.2196/jmir.5989
Health-Seeking Influence Reflected by Online Health-Related Messages Received on Social Media: Cross-Sectional Survey
Abstract
Background: Major social networking platforms, such as Facebook, WhatsApp, and Twitter, have become popular means through which people share health-related information, irrespective of whether messages disseminated through these channels are authentic.
Objective: This study aims to describe the demographic characteristics of patients that may demonstrate their attitudes toward medical information shared on social media networks. Second, we address how information found through social media affects the way people deal with their health. Third, we examine whether patients initiate or alter/discontinue their medications based on information derived from social media.
Methods: We conducted a cross-sectional survey between April and June 2015 on patients attending outpatient clinics at King Abdulaziz University, Jeddah, Saudi Arabia. Patients who used social media (Facebook, WhatsApp, and Twitter) were included. We designed a questionnaire with closed-ended and multiple-choice questions to assess the type of social media platforms patients used and whether information received on these platforms influenced their health care decisions. We used chi-square test to establish the relationship between categorical variables.
Results: Of the 442 patients who filled in the questionnaires, 401 used Facebook, WhatsApp, or Twitter. The majority of respondents (89.8%, 397/442) used WhatsApp, followed by Facebook (58.6%, 259/442) and Twitter (42.3%, 187/442). In most cases, respondents received health-related messages from WhatsApp and approximately 42.6% (171/401) reported ever stopping treatment as advised on a social media platform. A significantly higher proportion of patients without heart disease (P=.001) and obese persons (P=.01) checked the authenticity of information received on social media. Social media messages influenced decision making among patients without heart disease (P=.04). Respondents without heart disease (P=.001) and obese persons (P=.01) were more likely to discuss health-related information received on social media channels with a health care professional. A significant proportion of WhatsApp users reported that health-related information received on this platform influenced decisions regarding their family's health care (P=.001). Respondents' decisions regarding family health care were more likely to be influenced when they used two or all three types of platforms (P=.003).
Conclusions: Health education in the digital era needs to be accurate, evidence-based, and regulated. As technologies continue to evolve, we must be equipped to face the challenges it brings with it.
Keywords: Facebook; Twitter; WhatsApp; online health information-seeking behaviors; social media.
©Rahila Iftikhar, Bahaa Abaalkhail. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.11.2017.
Conflict of interest statement
Conflicts of Interest: None declared.
Similar articles
-
Demographic Factors Influencing the Impact of Coronavirus-Related Misinformation on WhatsApp: Cross-sectional Questionnaire Study.JMIR Public Health Surveill. 2021 Jan 30;7(1):e19858. doi: 10.2196/19858. JMIR Public Health Surveill. 2021. PMID: 33444152 Free PMC article.
-
The Prevalence of Internet and Social Media Based Medication Information Seeking Behavior in Saudi Arabia.Stud Health Technol Inform. 2016;226:275-8. Stud Health Technol Inform. 2016. PMID: 27350524
-
Assessing Electronic Health Literacy in the State of Kuwait: Survey of Internet Users From an Arab State.J Med Internet Res. 2019 May 24;21(5):e11174. doi: 10.2196/11174. J Med Internet Res. 2019. PMID: 31127723 Free PMC article.
-
How Health Care Professionals Use Social Media to Create Virtual Communities: An Integrative Review.J Med Internet Res. 2016 Jun 16;18(6):e166. doi: 10.2196/jmir.5312. J Med Internet Res. 2016. PMID: 27328967 Free PMC article. Review.
-
Balancing Privacy and Professionalism: A Survey of General Surgery Program Directors on Social Media and Surgical Education.J Surg Educ. 2016 Nov-Dec;73(6):e28-e32. doi: 10.1016/j.jsurg.2016.07.010. Epub 2016 Aug 11. J Surg Educ. 2016. PMID: 27524278 Review.
Cited by
-
Overview, Challenges and Future Prospects of Drug Information Services in Nepal: A Reflective Commentary.J Multidiscip Healthc. 2020 Mar 19;13:287-295. doi: 10.2147/JMDH.S238262. eCollection 2020. J Multidiscip Healthc. 2020. PMID: 32256077 Free PMC article. Review.
-
Generative artificial intelligence and machine learning methods to screen social media content.PeerJ Comput Sci. 2025 Mar 14;11:e2710. doi: 10.7717/peerj-cs.2710. eCollection 2025. PeerJ Comput Sci. 2025. PMID: 40134877 Free PMC article.
-
Purchasing medicines and functional foods on the internet: a cross-sectional study investigating the knowledge, attitudes, and experience of Vietnamese people in 2023.BMC Public Health. 2024 Sep 27;24(1):2619. doi: 10.1186/s12889-024-20103-w. BMC Public Health. 2024. PMID: 39333950 Free PMC article.
-
TikTok as an Information Hodgepodge: Evaluation of the Quality and Reliability of Genitourinary Cancers Related Content.Front Oncol. 2022 Feb 15;12:789956. doi: 10.3389/fonc.2022.789956. eCollection 2022. Front Oncol. 2022. PMID: 35242704 Free PMC article.
-
Inflammatory bowel disease evolution in the past two decades: a chronological multinational study.EClinicalMedicine. 2024 Mar 15;70:102542. doi: 10.1016/j.eclinm.2024.102542. eCollection 2024 Apr. EClinicalMedicine. 2024. PMID: 38525407 Free PMC article.
References
-
- Hoffman DL, Novak TP. Why do people use social media? Empirical findings and a new theoretical framework for social media goal pursuit. SSRN. 2012:33. doi: 10.2139/ssrn.1989586. http://ssm.com/abstract=1989586 - DOI
-
- Van De Belt TH, Engelen LJLPG, Berben SAA, Schoonhoven L. Definition of Health 2.0 and Medicine 2.0: a systematic review. J Med Internet Res. 2010;12(2):e18. doi: 10.2196/jmir.1350. http://www.jmir.org/2010/2/e18/ - DOI - PMC - PubMed
-
- Adams S. Post-panoptic surveillance through healthcare rating sites. Inform Commun Soc. 2013 Mar;16(2):215–235. doi: 10.1080/1369118X.2012.701657. http://europepmc.org/abstract/MED/20238204 - DOI
-
- 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):287–292. doi: 10.1007/s11606-010-1526-3. http://europepmc.org/abstract/MED/20945113 - DOI - PMC - PubMed
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Research Materials
Miscellaneous