Accuracy and influencing factors of diabetes-related subscriptions on the WeChat platform_Chinese Journal of Evidence-Based Medicine

Authors：

WU Yuan ¹ , LV Hongjun ¹ , FU Jiao ¹ , GAO Chuqi ¹ , LI Sheyu ^2,3 ,  GUO Hui ¹

1. Department of Endocrinology and Metabolism, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710061, P. R. China;
2. Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;
3. Chinese Evidence-Based Medicine Center and Chinese Cochrane Center, West China Hospital, Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

GUO Hui, Email: 13709292996@139.com

Keywords：

Diabetes; WeChat; Accuracy

DOI：

10.7507/1672-2531.202203102

Video：

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Objective To analyze the current state, evaluate the accuracy, and determine the influencing factors of diabetes-related subscriptions on the WeChat platform. Methods The top 100 WeChat platforms on the "China WeChat Platform New Rank Annual List 2020" were searched using the term "diabetes". We identified diabetes-related subscriptions published from June 1, 2021 to August 31, 2021. The accuracy of subscriptions was analyzed according to the consistency with clinical practice guidelines, and was independently assessed by two specialists. SPSS 22.0 software was used for data analysis. Results Sixty-eight subscriptions from 26 WeChat platforms were included. Twenty-five (36.8%) subscriptions were evaluated as inconsistent. The numbers of "wow" per thousand reads and "like" per thousand reads of inconsistent diabetic subscriptions were statistically higher than those of consistent diabetic subscriptions (P<0.05). Subscriptions with expert support (80.8% vs. 52.4%) and evidence support (91.7% vs. 57.1%) shared a higher consistency (P<0.05). Subscriptions with commercial promotion (16.7% vs. 67.7%) had a lower consistency (P=0.02). Conclusion Although some content is inconsistent with guidelines, diabetes-related subscriptions have a certain dissemination ability on the WeChat platform. Moreover, readers are more likely to "wow" or "like" for inconsistent subscriptions. Diabetes-related subscriptions on the WeChat public platform need supervision and can be further regulated by providing evidence support and regulating commercial promotion.

Citation： WU Yuan, LV Hongjun, FU Jiao, GAO Chuqi, LI Sheyu, GUO Hui. Accuracy and influencing factors of diabetes-related subscriptions on the WeChat platform. Chinese Journal of Evidence-Based Medicine, 2022, 22(8): 876-881. doi: 10.7507/1672-2531.202203102 Copy

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16.	吴超, 郭瑞卿, 吕树泉, 等. 中国互联网网站关于糖尿病健康信息的质量评价. 中国循证医学杂志, 2019, 19(10): 1250-1254.
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18.	Weeks BE, Friedenberg LM, Southwell BG, et al. Behavioral consequences of conflict-oriented health news coverage: the 2009 mammography guideline controversy and online information seeking. Health Commun, 2012, 27(2): 158-166.
19.	Towne J, Suliman Y, Russell KA, et al. Health information in the era of social media: an analysis of the nature and accuracy of posts made by public facebook pages for patients with endometriosis. J Minim Invasive Gynecol, 2021, 28(9): 1637-1642.
20.	金晓玲, 冯慧慧, 周中允. 微信朋友圈中健康信息传播行为研究. 管理科学, 2017, 30(1): 73-82.
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22.	刘畅. 事实核查平台发展机遇与效果困境研究——以国内三类平台为例. 新闻知识, 2019, (5): 83-86.

1. Li Y, Teng D, Shi X, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ, 2020, 369: m997.
2. 中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2020年版). 中华糖尿病杂志, 2021, 13(4): 315-409.
3. 微信团队. 2019微信数据报告. Available at: https://www.dx2025.com/wp-content/uploads/2020/02/2019-wei-xin-shu-ju-bao-gao.pdf.
4. 新榜. 2020年中国微信500强年榜·公众号. Available at: https://mp.weixin.qq.com/s/V-45BzBYmWQzxUgyB4Blgw.
5. 肖瓅, 徐阳, 许玲, 等. 我国部分省级健康教育专业机构微信公众平台现状研究. 中国健康教育, 2017, 33(2): 111-114.
6. 张小强, 吉媛, 游滨. 微信传播指数领先的学术期刊公众号运营调查及启示. 中国科技期刊研究, 2018, 29(6): 574-584.
7. 吴远, 史沛杰, 李舍予, 等. 微信公众平台在糖尿病管理中的使用现状和评价. 中国全科医学, 2021, 24(16): 2108-2111.
8. 汪洋, 王觅也, 周有莲, 等. 我国互联网糖尿病健康信息资源的合理应用及挑战. 中国全科医学, 2021, 24(16): 2098-2102.
9. 新榜. 新榜指数NRI算法说明. Available at: https://www.newrank.cn/public/about/reference.pdf.
10. 张海涛, 张会然, 魏萍, 等. 微信公众号影响力评价模型研究. 图书情报工作, 2019, 63(4): 23.
11. Silberg WM, Lundberg GD, Musacchio RA. Assessing, controlling, and assuring the quality of medical information on the internet: caveant lector et viewor-Let the reader and viewer beware. JAMA, 1997, 277(15): 1244-1245.
12. Health on the Net Foundation. Discover the 8 principles of the HONcode. Available at: https://www.hon.ch/en/certification.html#principles.
13. 微信团队. 微信公众平台文章原创保护指引. Available at: https://mp.weixin.qq.com/cgi-bin/announce?action=getannouncement&key=11565151480ZCKVy&version=1&lang=zh_CN&platform=2.
14. 黄相刚, 李英华, 李莉, 等. 我国6省糖尿病患者糖尿病信息获取及网络利用现状调查. 中国健康教育, 2014, 30(1): 20-22.
15. 周有莲, 袁祥, 杨小玲, 等. 我国糖尿病健康信息网页质量评价. 中国全科医学, 2021, 24(16): 2103-2107.
16. 吴超, 郭瑞卿, 吕树泉, 等. 中国互联网网站关于糖尿病健康信息的质量评价. 中国循证医学杂志, 2019, 19(10): 1250-1254.
17. Storino A, Castillo-Angeles M, Watkins AA, et al. Assessing the accuracy and readability of online health information for patients with pancreatic cancer. JAMA Surg, 2016, 151(9): 831-837.
18. Weeks BE, Friedenberg LM, Southwell BG, et al. Behavioral consequences of conflict-oriented health news coverage: the 2009 mammography guideline controversy and online information seeking. Health Commun, 2012, 27(2): 158-166.
19. Towne J, Suliman Y, Russell KA, et al. Health information in the era of social media: an analysis of the nature and accuracy of posts made by public facebook pages for patients with endometriosis. J Minim Invasive Gynecol, 2021, 28(9): 1637-1642.
20. 金晓玲, 冯慧慧, 周中允. 微信朋友圈中健康信息传播行为研究. 管理科学, 2017, 30(1): 73-82.
21. Martin-Facklam M, Kostrzewa M, Schubert F, et al. Quality markers of drug information on the Internet: an evaluation of sites about St. John's wort. Am J Med, 2002, 113(9): 740-745.
22. 刘畅. 事实核查平台发展机遇与效果困境研究——以国内三类平台为例. 新闻知识, 2019, (5): 83-86.

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