Abstract:
BACKGROUND:Colorectal cancer incidence and mortality have been increasing in China and as one of the most important health problems facing the nation. Adequate dissemination of correct information about colorectal cancer could help in reducing cancer-related morbidity and mortality. This study aims to assess the completeness and reliability of colorectal cancer-related information available on the video website of Youku in mainland China. METHODS:Youku ( https://www.youku.com /) was searched on September 15, 2016 for the search terms colorectal cancer. Only Chinese videos were included. Two reviewers independently evaluate the videos for characteristics, information source and usefulness. Content was analysed under six categories (aetiology, anatomy, symptoms, preventions, treatments and prognosis). Completeness was evaluated with a checklist developed by the researchers. Any discrepancies were resolved by consensuses. SPSS software was used to analyze data. RESULTS:There were 242 videos with relevant information about colorectal cancer. The type of source were as follows: independent users, 118 (49%); health information web sites, 60 (25%); medical doctors, 31 (13%); news network, 22 (9%); and hospital/university, 11 (4%). In all, 57% of videos had useful information about colorectal cancer, 21% were misleading. Videos posted by medical doctors (P = 0.021) and health information web sites (p = 0.039) were less incomplete than videos by independent users. Of the Traditional Chinese medicine (TCM) videos, 97 (76%) had information about treatments of colorectal cancer. 30% TCM videos contain misleading information, whose misleading rate was higher than total's (21%). CONCLUSIONS:The colorectal cancer videos in mainland China represented by Youku varied base on ownership and content and information incompleteness were fairly high. It is necessary that professionals adapt to the advanced technology and think useful methods to solve the variable quality of information of internet video websites in mainland China.
journal_name
BMC Med Inform Decis Makjournal_title
BMC medical informatics and decision makingauthors
Zhang S,Yang Y,Yan D,Yuan B,Jiang X,Song Cdoi
10.1186/s12911-018-0711-xsubject
Has Abstractpub_date
2018-12-04 00:00:00pages
129issue
1issn
1472-6947pii
10.1186/s12911-018-0711-xjournal_volume
18pub_type
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