Quality of information about mental disease on the Internet: A comparative and longitudinal study of entries form Baidu Encyclopedia and Wikipedia (Preprint)

Author:

Ma JingORCID,Jiang LishaORCID,Luo JianchenORCID,Zheng LinliORCID,Wang MeiouORCID,Zhang LanORCID

Abstract

BACKGROUND

The Internet has evolved the approaches of medical information spread. Demands of online information searching on mental disease expanded. The Wikipedia and Baidu Encyclopedia are popular information source. Websites with information on mental disease have not been systematically evaluated.

OBJECTIVE

The research aimed to estimate the quality of mental disease information on the internet and to evaluate all aspects including timeliness to value the information quality from Baidu Encyclopedia and Wikipedia to help users to make better choice. Besides, establishing a perfect relevant online health information examine and supervision system, in order to satisfy public self-help mental medical information service needs.

METHODS

We retrieved the entries on mental disease from the International Statistical Classification of Diseases and Related Health Problems 10th Revision Version 2016 codes on Wikipedia (in English) and Baidu Encyclopedia (in Chinese) in 2018 and 2021. Subject sites were accessed by DISCERN. The comparison between 2 engines as well as 3 years follow-up and timeliness were calculated.

RESULTS

The number of entries on mental disease we found in 2018 is 34 on Baidu Encyclopedia and 36 on Wikipedia and 37 entries on both Baidu Encyclopedia and Wikipedia in 2021. In 2018, the DISCERN score of Baidu Encyclopedia entries in section 1 and section 3 were lower than those of Wikipedia articles (11.21±4.57 vs 26.25±3.21, p<.001; 2.06±.74 vs 2.53±.94, p<.05). Significantly differences can also be found in total score and all sections in 2021 between 2 engines (total score, 26.29±11.03 vs 44.31±9.77, all 3 sections, p<.001). The DISCERN score of Wikipedia articles during 3 years showed significant increase (all 3 sections, p<.001; total, p<.001). The mean update interval varies greatly from Baidu Encyclopedia (824.79 days in 2018; 945.73 days in 2021) to Wikipedia (34.17 days in 2018;50.46 days in 2021) (p<.001).

CONCLUSIONS

Despite the general poor quality of mental disease entries in both two engines, Wikipedia expressed to be a better source of online mental disease information compared to Baidu Encyclopedia, with higher reliability, better treatment advice and shorter update interval. Our findings reflected the existing deficit of general website mental health information, suggested a reference for further and better medical network information order. Based on this foundation, it is essential to encourage people to seek professional help rather than believe the ambiguous source information from Internet. The quality of these entries has been improved during 3 years. This positive trend is encouraging that we can expect better online information service in the coming future.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3