Literature DB >> 32988687

Evaluation of the quality and readability of online information about breast cancer in China.

Yan Li1, Xingtong Zhou1, Yidong Zhou1, Feng Mao1, Songjie Shen1, Yan Lin1, Xiaohui Zhang1, Tao-Hsing Chang2, Qiang Sun3.   

Abstract

OBJECTIVE: This study aimed at evaluating the quality and readability of online information about breast cancer written in Chinese.
METHODS: An Internet search was conducted for "breast cancer" in Chinese using the Baidu search engine. Website quality was evaluated using the DISCERN instrument, and readability was evaluated using the Chinese Readability Index Explorer (CRIE). Higher DISCERN score indicated higher quality of websites, while higher CRIE score indicated lower readability of the content of the websites. We also investigated the effects of website producer category, and the associations of search engine ranking with DISCERN and CRIE scores.
RESULTS: A total of 49 websites were included. The mean overall DISCERN score was 50.27 ± 4.14, and the mean CRIE score was 6.78 ± 0.16. Websites produced by non-profit organizations had the highest overall DISCERN scores, while those produced by private individuals had the lowest CRIE scores. Search engine ranking had no significant correlation with website quality or readability.
CONCLUSIONS: The quality and readability of breast cancer websites in Chinese were not satisfactory, and they varied among different website producer categories. PRACTICE IMPLICATIONS: Website producers should seek to provide more accurate, comprehensive, and easy-to-understand information to better meet the needs of breast cancer patients. In addition, search engines should revise algorithms to promote websites with higher quality and accessibility.
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Chinese websites; Quality evaluation; Readability; Search engine ranking

Year:  2020        PMID: 32988687     DOI: 10.1016/j.pec.2020.09.012

Source DB:  PubMed          Journal:  Patient Educ Couns        ISSN: 0738-3991


  3 in total

1.  Evaluating breast cancer websites targeting Arabic speakers: empirical investigation of popularity, availability, accessibility, readability, and quality.

Authors:  Zahraa Jasem; Zainab AlMeraj; Dari Alhuwail
Journal:  BMC Med Inform Decis Mak       Date:  2022-05-09       Impact factor: 3.298

2.  Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People.

Authors:  Wenxiu Xie; Meng Ji; Mengdan Zhao; Kam-Yiu Lam; Chi-Yin Chow; Tianyong Hao
Journal:  Comput Intell Neurosci       Date:  2021-12-17

3.  An evaluation of the quality of COVID-19 websites in terms of HON principles and using DISCERN tool.

Authors:  Reza Safdari; Marsa Gholamzadeh; Soheila Saeedi; Mozhgan Tanhapour; Sorayya Rezayi
Journal:  Health Info Libr J       Date:  2022-08-10
  3 in total

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