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Health-Seeking Influence Reflected by Online Health-Related Messages Received on Social Media: Cross-Sectional Survey.

作者信息

Iftikhar Rahila, Abaalkhail Bahaa

机构信息

Department of Family and Community Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

J Med Internet Res. 2017 Nov 16;19(11):e382. doi: 10.2196/jmir.5989.


DOI:10.2196/jmir.5989
PMID:29146568
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5709655/
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.

摘要

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本文引用的文献

[1]
Social media use in healthcare: A systematic review of effects on patients and on their relationship with healthcare professionals.

BMC Health Serv Res. 2016-8-26

[2]
The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature.

JMIR Med Inform. 2016-1-21

[3]
Identifying Twitter influencer profiles for health promotion in Saudi Arabia.

Health Promot Int. 2017-6-1

[4]
Partnering with patients using social media to develop a hypertension management instrument.

J Am Soc Hypertens. 2015-9

[5]
Popular Glucose Tracking Apps and Use of mHealth by Latinos With Diabetes: Review.

JMIR Mhealth Uhealth. 2015-8-25

[6]
Ethical Issues of Social Media Usage in Healthcare.

Yearb Med Inform. 2015-8-13

[7]
The Prevalence of Using Social Media among Healthcare Professionals in Saudi Arabia: A Pilot Study.

Stud Health Technol Inform. 2015

[8]
The Role of Social Media in Promoting Women's Health Education in Saudi Arabia.

Stud Health Technol Inform. 2015

[9]
A Social Media Campaign to Promote Breastfeeding among Saudi Women: A Web-based Survey Study.

Stud Health Technol Inform. 2015

[10]
"I just forget to take it": asthma self-management needs and preferences in adolescents.

J Asthma. 2015-10

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