Quality evaluation of diabetes health information on the Chinese internet_Chinese Journal of Evidence-Based Medicine

Authors：

WU Chao ^1,2 , GUO Ruiqing ³ , LV Shuquan ² , SUN Jiajia ^1,2 , GUAN Zhiting ^1,2 , LI Yan ^1,2 , TONG Xingrui ^1,2 ,  WANG Yuansong ²

1. North China University of Science and Technology, Tangshan, 063700, P.R.China;
2. Hospital of Traditional Chinese and Western Medicine, Cangzhou, 061000, P.R.China;
3. Children’s Hospital of Integrated Traditional Chinese and Western Medicine, Shijiazhuang, 050000, P.R.China;

Corresponding author：

WANG Yuansong, Email: 2426104415@qq.com

Keywords：

Diabetes; Chinese internet; Website; Health information; Quality evaluation

DOI：

10.7507/1672-2531.201904084

Video：

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Objectives To evaluate the quality of health information on diabetes in Chinese internet, so as to understand the current status of diabetes network health information, and provide reference for improving and enriching the three-level prevention of diabetes.Methods The three most common Chinese search engines: Baidu, Sogou and Haosou Search were searched with the keywords " diabetes” and " diabetes treatment”, using the health information evaluation tool DISCERN score to evaluate the quality of the information, and the integrity and accuracy of information content were evaluated with reference to the " Guidelines for the Prevention and Treatment of Type 2 Diabetes in China (2017 Edition)” issued by the Chinese Diabetes Society of Chinese Medical Association.Results A total of 300 links were accessed and included in 17 websites. The DISCERN review showed that only 1 item's average score exceeded 3 points. According to website content score, the excellent part accounted for 11.7%, the good part accounted for 35.2%, the fair part accounted for 47.1%, and the poor part accounted for 5.8%. 50% of websites contained error messages, and the subject of the most error-prone information was diagnosis and treatment. There was a positive correlation between the content score and the DSCERN score in the credibility score and the verbosity score (r=0.71, 0.73, P<0.001). The websites were evaluated by attributes, and the quality evaluation of diabetes-related information in some general-purpose websites was higher than that of diabetes specialist websites.Conclusions The quality of diabetes health information on Chinese websites is insufficient. It is necessary for China to establish a web-based information platform for diabetes. China has not yet formed a unified network health information evaluation standard in line with its national conditions. The key to solving the problem lies in the collaboration between professional health personnel and website developers.

Citation： WU Chao, GUO Ruiqing, LV Shuquan, SUN Jiajia, GUAN Zhiting, LI Yan, TONG Xingrui, WANG Yuansong. Quality evaluation of diabetes health information on the Chinese internet. Chinese Journal of Evidence-Based Medicine, 2019, 19(10): 1250-1254. doi: 10.7507/1672-2531.201904084 Copy

1.	International diabetes federation. Key findings 2014. Available at: http://www.idf.org/diabetesatlas/update-2014.
2.	任杰. 风险评分筛查2型糖尿病的效果评价及糖化血红蛋白诊断糖尿病的切点研究. 济南: 山东大学, 2011.
3.	王长江. 糖尿病的流行现状与预防. 安徽医学, 2014, (10): 1335-1337.
4.	魏萌萌. 糖尿病网络健康信息的质量评价指标体系构建与实证研究. 武汉: 华中科技大学, 2012.
5.	Wang L, Gao P, Zhang M, et al. Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013. JAMA, 2017, 317(24): 2515-2523.
6.	Khazaal Y, Chatton A, Cochand S, et al. Brief DISCERN, six questions for the evaluation of evidence-based content of health-related websites. Patient Educ Couns, 2009, 77(1): 33-37.
7.	中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2017年版). 中国实用内科杂志, 2018, 38(4): 292-344.
8.	China internet network information center. Available at: http://www.cnnic,netcn/hlwfzyj/hlwxzbg/201601/PO20160122349130059846.pdf.
9.	中国科协. 第九次中圈公民科学素质调查结果. Available at: http://education.News.cn/201509/19/c128247007.htm.
10.	China web master. Available at: http://top.chinaz.com/top500?t=254&fn=alexa.
11.	唐小利, 杜建, 李姣, 等. 国外健康信息网站评价工具及我国相关网站质量评价体系框架设计. 中国健康教育, 2015, 31(3): 297-301, 315.
12.	Charnock D, Shepperd S, Needham G, et al. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health, 1999, 53(2): 105-111.
13.	British library and the university of Oxford. The DISCERN instrument (1999). Available at: http://www.discern.org.uk/discerninstrument.php.
14.	Zhang H, Ma J, Jiang C, et al. Assessment research on information quality of health websites. Med Inform, 2013, 34: 2-6.
15.	毕建强, 孙云川. 中文网站中关于肺癌健康信息的质量评价. 中国肿瘤, 2018, 27(6): 433-437.
16.	Talley CH, Yang L, Williams KP. Breast cancer screening paved with good intentions: application of the information-motivation-behavioral skills model to racial/ethnic minority women. J Immigr Minor Health, 2017, 19(6): 1362-1371.
17.	Niu L, Luo D, Liu Y, et al. The accessibility, usability, and reliability of Chinese web-based information on HIV/AIDS. Int J Environ Res Public Health, 2016, 13(8): E834.
18.	Cai Y, Ye X, Shi R, et al. Predictors of consistent condom use based on the Information-Motivation-Behavior Skill (IMB) model among senior high school students in three coastal cities in China. BMC Infect Dis, 2013, 13: 262.
19.	Klila H, Chatton A, Zermatten A, et al. Quality of web-based information on obsessive compulsive disorder. Neuropsychiatr Dis Treat, 2013, 9: 1717-1723.
20.	American Diabetes Association. Diabetes advocacy: standards of medical care in diabetes-2018. Diabetes Care, 2018, 41(Suppl 1): S152-S153.

1. International diabetes federation. Key findings 2014. Available at: http://www.idf.org/diabetesatlas/update-2014.
2. 任杰. 风险评分筛查2型糖尿病的效果评价及糖化血红蛋白诊断糖尿病的切点研究. 济南: 山东大学, 2011.
3. 王长江. 糖尿病的流行现状与预防. 安徽医学, 2014, (10): 1335-1337.
4. 魏萌萌. 糖尿病网络健康信息的质量评价指标体系构建与实证研究. 武汉: 华中科技大学, 2012.
5. Wang L, Gao P, Zhang M, et al. Prevalence and ethnic pattern of diabetes and prediabetes in China in 2013. JAMA, 2017, 317(24): 2515-2523.
6. Khazaal Y, Chatton A, Cochand S, et al. Brief DISCERN, six questions for the evaluation of evidence-based content of health-related websites. Patient Educ Couns, 2009, 77(1): 33-37.
7. 中华医学会糖尿病学分会. 中国2型糖尿病防治指南(2017年版). 中国实用内科杂志, 2018, 38(4): 292-344.
8. China internet network information center. Available at: http://www.cnnic,netcn/hlwfzyj/hlwxzbg/201601/PO20160122349130059846.pdf.
9. 中国科协. 第九次中圈公民科学素质调查结果. Available at: http://education.News.cn/201509/19/c128247007.htm.
10. China web master. Available at: http://top.chinaz.com/top500?t=254&fn=alexa.
11. 唐小利, 杜建, 李姣, 等. 国外健康信息网站评价工具及我国相关网站质量评价体系框架设计. 中国健康教育, 2015, 31(3): 297-301, 315.
12. Charnock D, Shepperd S, Needham G, et al. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health, 1999, 53(2): 105-111.
13. British library and the university of Oxford. The DISCERN instrument (1999). Available at: http://www.discern.org.uk/discerninstrument.php.
14. Zhang H, Ma J, Jiang C, et al. Assessment research on information quality of health websites. Med Inform, 2013, 34: 2-6.
15. 毕建强, 孙云川. 中文网站中关于肺癌健康信息的质量评价. 中国肿瘤, 2018, 27(6): 433-437.
16. Talley CH, Yang L, Williams KP. Breast cancer screening paved with good intentions: application of the information-motivation-behavioral skills model to racial/ethnic minority women. J Immigr Minor Health, 2017, 19(6): 1362-1371.
17. Niu L, Luo D, Liu Y, et al. The accessibility, usability, and reliability of Chinese web-based information on HIV/AIDS. Int J Environ Res Public Health, 2016, 13(8): E834.
18. Cai Y, Ye X, Shi R, et al. Predictors of consistent condom use based on the Information-Motivation-Behavior Skill (IMB) model among senior high school students in three coastal cities in China. BMC Infect Dis, 2013, 13: 262.
19. Klila H, Chatton A, Zermatten A, et al. Quality of web-based information on obsessive compulsive disorder. Neuropsychiatr Dis Treat, 2013, 9: 1717-1723.
20. American Diabetes Association. Diabetes advocacy: standards of medical care in diabetes-2018. Diabetes Care, 2018, 41(Suppl 1): S152-S153.

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