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：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

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

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.	中華醫學會糖尿病學分會. 中國2型糖尿病防治指南(2020年版). 中華糖尿病雜志, 2021, 13(4): 315-409.
3.	微信團隊. 2019微信數據報告. Available at: https://www.dx2025.com/wp-content/uploads/2020/02/2019-wei-xin-shu-ju-bao-gao.pdf.
4.	新榜. 2020年中國微信500強年榜·公眾號. Available at: https://mp.weixin.qq.com/s/V-45BzBYmWQzxUgyB4Blgw.
5.	肖瓅, 徐陽, 許玲, 等. 我國部分省級健康教育專業機構微信公眾平臺現狀研究. 中國健康教育, 2017, 33(2): 111-114.
6.	張小強, 吉媛, 游濱. 微信傳播指數領先的學術期刊公眾號運營調查及啟示. 中國科技期刊研究, 2018, 29(6): 574-584.
7.	吳遠, 史沛杰, 李舍予, 等. 微信公眾平臺在糖尿病管理中的使用現狀和評價. 中國全科醫學, 2021, 24(16): 2108-2111.
8.	汪洋, 王覓也, 周有蓮, 等. 我國互聯網糖尿病健康信息資源的合理應用及挑戰. 中國全科醫學, 2021, 24(16): 2098-2102.
9.	新榜. 新榜指數NRI算法說明. Available at: https://www.newrank.cn/public/about/reference.pdf.
10.	張海濤, 張會然, 魏萍, 等. 微信公眾號影響力評價模型研究. 圖書情報工作, 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.	微信團隊. 微信公眾平臺文章原創保護指引. Available at: https://mp.weixin.qq.com/cgi-bin/announce?action=getannouncement&key=11565151480ZCKVy&version=1&lang=zh_CN&platform=2.
14.	黃相剛, 李英華, 李莉, 等. 我國6省糖尿病患者糖尿病信息獲取及網絡利用現狀調查. 中國健康教育, 2014, 30(1): 20-22.
15.	周有蓮, 袁祥, 楊小玲, 等. 我國糖尿病健康信息網頁質量評價. 中國全科醫學, 2021, 24(16): 2103-2107.
16.	吳超, 郭瑞卿, 呂樹泉, 等. 中國互聯網網站關于糖尿病健康信息的質量評價. 中國循證醫學雜志, 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.	金曉玲, 馮慧慧, 周中允. 微信朋友圈中健康信息傳播行為研究. 管理科學, 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.	劉暢. 事實核查平臺發展機遇與效果困境研究——以國內三類平臺為例. 新聞知識, 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. 中華醫學會糖尿病學分會. 中國2型糖尿病防治指南(2020年版). 中華糖尿病雜志, 2021, 13(4): 315-409.
3. 微信團隊. 2019微信數據報告. Available at: https://www.dx2025.com/wp-content/uploads/2020/02/2019-wei-xin-shu-ju-bao-gao.pdf.
4. 新榜. 2020年中國微信500強年榜·公眾號. Available at: https://mp.weixin.qq.com/s/V-45BzBYmWQzxUgyB4Blgw.
5. 肖瓅, 徐陽, 許玲, 等. 我國部分省級健康教育專業機構微信公眾平臺現狀研究. 中國健康教育, 2017, 33(2): 111-114.
6. 張小強, 吉媛, 游濱. 微信傳播指數領先的學術期刊公眾號運營調查及啟示. 中國科技期刊研究, 2018, 29(6): 574-584.
7. 吳遠, 史沛杰, 李舍予, 等. 微信公眾平臺在糖尿病管理中的使用現狀和評價. 中國全科醫學, 2021, 24(16): 2108-2111.
8. 汪洋, 王覓也, 周有蓮, 等. 我國互聯網糖尿病健康信息資源的合理應用及挑戰. 中國全科醫學, 2021, 24(16): 2098-2102.
9. 新榜. 新榜指數NRI算法說明. Available at: https://www.newrank.cn/public/about/reference.pdf.
10. 張海濤, 張會然, 魏萍, 等. 微信公眾號影響力評價模型研究. 圖書情報工作, 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. 微信團隊. 微信公眾平臺文章原創保護指引. Available at: https://mp.weixin.qq.com/cgi-bin/announce?action=getannouncement&key=11565151480ZCKVy&version=1&lang=zh_CN&platform=2.
14. 黃相剛, 李英華, 李莉, 等. 我國6省糖尿病患者糖尿病信息獲取及網絡利用現狀調查. 中國健康教育, 2014, 30(1): 20-22.
15. 周有蓮, 袁祥, 楊小玲, 等. 我國糖尿病健康信息網頁質量評價. 中國全科醫學, 2021, 24(16): 2103-2107.
16. 吳超, 郭瑞卿, 呂樹泉, 等. 中國互聯網網站關于糖尿病健康信息的質量評價. 中國循證醫學雜志, 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. 金曉玲, 馮慧慧, 周中允. 微信朋友圈中健康信息傳播行為研究. 管理科學, 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. 劉暢. 事實核查平臺發展機遇與效果困境研究——以國內三類平臺為例. 新聞知識, 2019, (5): 83-86.

Previous Article
Analysis of the disease burden of pancreatitis in China from 1990 to 2019
Next Article
Prevalence of osteoporosis in Chinese postmenopausal females: a meta-analysis

Chinese Journal of Evidence-Based Medicine

Accuracy and influencing factors of diabetes-related subscriptions on the WeChat platform

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content