Accuracy and influencing factors of hypertension-related subscriptions from official health WeChat accounts_Chinese Journal of Evidence-Based Medicine

Authors：

YU Yuxin ¹ , REN Ruhua ¹ , HUANG Donglin ¹ , LIU Yiying ¹ , LI Xiaodong ¹ , GAO Meili ² ,  WANG Shuang ³ ,  ZHANG Chenhao ¹

1. Wangjing Hospital of China Academy of Chinese Medical Sciences, Beijing 100102, P. R. China;
2. Shunyi Hospital of Beijing Hospital of Traditional Chinese Medicine, Beijing 101300, P. R. China;
3. China Press of Traditional Chinese Medicine Co., Ltd., Beijing 100176, P. R. China;

Corresponding author：

WANG Shuang, Email: wangshuangws@126.com; ZHANG Chenhao, Email: zhangch500@126.com

Keywords：

Hypertension; WeChat platform; Official health WeChat accounts; Accuracy; Influencing factors

DOI：

10.7507/1672-2531.202301005

Video：

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Abstract Full text Figures/Tables Video References Cited by

Objective To analyze the current state, evaluate the accuracy, and determine the influencing factors of hypertension-related subscriptions from official health WeChat accounts. Methods The 36 official health WeChat accounts on the WeChat official accounts monthly list │ September 2022 China WeChat Top 500·New Rank certification were searched using the term "hypertension". We identified diabetes-related subscriptions published from April 1, 2022 to September 30, 2022. 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 One hundred and one subscriptions from 36 official health WeChat accounts were included. Forty-seven (46.5%) subscriptions were evaluated as consistent, seven (6.9%) subscriptions were evaluated as inconsistent, and forty-seven (46.5%) subscriptions were evaluated as unconfirmed. The differences between the numbers of reads, "wow" and "like" per thousand reads, were statistically significant. Consistency rates were higher for tweets backed by evidence and experts, and for tweets posted by public figures with the accreditation type "government". Conclusion Hypertension tweets have a good audience base, some of the content is inconsistent with current clinical guideline recommendations, and readers have little ability to screen them. There is a need to develop and improve the review mechanism for writing and publishing hypertension tweets on WeChat.

Citation： YU Yuxin, REN Ruhua, HUANG Donglin, LIU Yiying, LI Xiaodong, GAO Meili, WANG Shuang, ZHANG Chenhao. Accuracy and influencing factors of hypertension-related subscriptions from official health WeChat accounts. Chinese Journal of Evidence-Based Medicine, 2023, 23(6): 627-631. doi: 10.7507/1672-2531.202301005 Copy

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16.	刘蕾, 于国泳, 周琴, 等. 北京市10家中医医院微信公众号健康科普热点话题研究. 中华医院管理杂志, 2019, 35(7): 585-589.
17.	Pham V, Slawson M, Nicks S, et al. The presence of sensational language describing stem cell therapies in news articles: a cross-sectional analysis. Regen Med, 2021, 16(10): 909-913.
18.	Yan Q, Field AR, Jensen KJ, et al. Critical analysis of the quality of internet resources for patients with varicose veins. J Vasc Surg Venous Lymphat Disord, 2021, 9(4): 1017-1024.
19.	Eckel RH, Jakicic JM, Ard JD, et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol, 2014, 63(25 Pt B): 2960-2984.
20.	Li G, Hu H, Dong Z, et al. Urban and suburban differences in hypertension trends and self-care: three population-based cross-sectional studies from 2005-2011. PLoS One, 2015, 10(2): e0117999.
21.	Murray E, Lo B, Pollack L, et al. The impact of health information on the internet on health care and the physician-patient relationship: national U. S. survey among 1. 050 U. S. physicians. J Med Internet Res, 2003, 5(3): e17.

1. Wang Z, Chen Z, Zhang L, et al. Status of hypertension in China: results from the China hypertension survey, 2012-2015. Circulation, 2018, 137(22): 2344-2356.
2. 顾东风, Jiang H, 吴锡桂, 等. 中国成年人高血压患病率、知晓率、治疗和控制状况. 中华预防医学杂志, 2003, 37(2): 84-89.
3. 李镒冲, 王丽敏, 姜勇, 等. 2010年中国成年人高血压患病情况. 中华预防医学杂志, 2012, 46(5): 409-413.
4. Li Y, Yang L, Wang L, et al. Burden of hypertension in China: a nationally representative survey of 174, 621 adults. Int J Cardiol, 2017, 227: 516-523.
5. Lu J, Lu Y, Wang X, et al. Prevalence, awareness, treatment, and control of hypertension in China: data from 1. 7 million adults in a population-based screening study (China PEACE Million Persons Project). Lancet, 2017, 390(10112): 2549-2558.
6. Bundy JD, He J. Hypertension and related cardiovascular disease burden in China. Ann Glob Health, 2016, 82(2): 227-233.
7. Omboni S. Connected health in hypertension management. Front Cardiovasc Med, 2019, 6: 76.
8. 闫冠韫, 陈洪恩, 李舜, 等. “互联网+”在社区高血压患者管理中的应用. 医学与哲学(B), 2017, 38(11): 78-80, 95.
9. 彭丽, 唐广, 杨欢, 等. 泛在网络环境下高血压病健康信息的质量评价. 现代预防医学, 2017, 44(20): 3727-3730.
10. 胡开胜. 微信公众号评价指标分析. 电脑知识与技术, 2018, 14(34): 276-278.
11. 新榜排行榜. 公众号月榜│2022年9月中国微信500强·新榜认证.
12. 中国高血压防治指南修订委员会, 高血压联盟(中国), 中华医学会心血管病学分会, 等. 中国高血压防治指南(2018年修订版). 中国心血管杂志, 2019, 24(01): 24-56.
13. 中华中医药学会心血管病分会. 高血压中医诊疗专家共识. 中国实验方剂学杂志, 2019, 25(15): 217-221.
14. Health on the Net Foundation. Discover the 8 principles of the HONcode.
15. 胡诗琪, 戈三玉, 谢冬冬, 等. 基于网络高血压热词的慢病预防策略分析. 中华疾病控制杂志, 2018, 22(5): 518-521.
16. 刘蕾, 于国泳, 周琴, 等. 北京市10家中医医院微信公众号健康科普热点话题研究. 中华医院管理杂志, 2019, 35(7): 585-589.
17. Pham V, Slawson M, Nicks S, et al. The presence of sensational language describing stem cell therapies in news articles: a cross-sectional analysis. Regen Med, 2021, 16(10): 909-913.
18. Yan Q, Field AR, Jensen KJ, et al. Critical analysis of the quality of internet resources for patients with varicose veins. J Vasc Surg Venous Lymphat Disord, 2021, 9(4): 1017-1024.
19. Eckel RH, Jakicic JM, Ard JD, et al. 2013 AHA/ACC guideline on lifestyle management to reduce cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol, 2014, 63(25 Pt B): 2960-2984.
20. Li G, Hu H, Dong Z, et al. Urban and suburban differences in hypertension trends and self-care: three population-based cross-sectional studies from 2005-2011. PLoS One, 2015, 10(2): e0117999.
21. Murray E, Lo B, Pollack L, et al. The impact of health information on the internet on health care and the physician-patient relationship: national U. S. survey among 1. 050 U. S. physicians. J Med Internet Res, 2003, 5(3): e17.

Chinese Journal of Evidence-Based Medicine

Accuracy and influencing factors of hypertension-related subscriptions from official health WeChat accounts

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