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Evaluation of the quality of online information about perinatal depression in China


Citation

Li, Miaomiao and Wan Abas, Wan Anita and Ma’rof, Aini Azeqa and Wang, Peng and Wang, Xiaoyan (2024) Evaluation of the quality of online information about perinatal depression in China. Studies in Media and Communication, 12 (3). pp. 231-239. ISSN 2325-8071; eISSN: 2325-808X

Abstract

This study assessed the quality of Chinese-language websites that provide information about perinatal depression, focusing on their compliance with recognized quality standards, the impact of information content providers on information quality, and the correlation between search engine ranking and quality. We conducted a systematic search on the Baidu search engine and screened 55 relevant websites. The quality of these websites was assessed using the DISCERN instruments. Our findings suggest that the quality of information on websites about perinatal depression is predominantly 'poor', with commercial sites constituting the entirety of the sample, although health information content provided by non-profit organizations demonstrating significantly higher quality. There was a significant negative correlation between search engine rankings and the quality of information on perinatal depression, suggesting that higher quality content is less likely to be searched for and may hinder access to reliable information. This study highlights the urgent need for mechanisms to prioritize the display of high-quality information in search engine results to provide better assistance to Chinese patients with perinatal depression.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Human Ecology
Faculty of Modern Language and Communication
Institute for Social Science Studies
DOI Number: https://doi.org/10.11114/smc.v12i3.6908
Publisher: Redfame Publishing Inc.
Keywords: Chinese website; Information quality; Perinatal depression; Search engine ranking
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 15 Jan 2025 06:56
Last Modified: 15 Jan 2025 06:56
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.11114/smc.v12i3.6908
URI: http://psasir.upm.edu.my/id/eprint/113841
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