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Published on: January 11, 2020
Information quality assessment and content analysis of dementia prevention on WeChat: a cross-sectional study
Yashi Lin1,2, Zhouxin Li1,2, Kairou Zhang1,2
1Department of Nursing, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Objective:
This study aimed to evaluate the information quality and content of dementia prevention on WeChat.
Methods:
The search term "dementia prevention" was used on WeChat, resulting in 125 samples being included. Information quality was assessed using GQS and PEMAT-P. The content was evaluated based on dementia prevention guidelines and article characteristics.
Results:
Information quality was moderate (median 3.0), with high understandability and actionability. Most articles were published by medical institutions (37.6%), but governmental organizations achieved the highest scores (p < 0.05). Content completeness was low, with healthy lifestyle being mentioned most frequently (98.4%), while sensory organ protection and improving air environment were mentioned least frequently (both at 3.2%). Articles with more complete content and fewer advertisements demonstrated significantly higher information quality (p < 0.001 and p = 0.016, respectively).
Conclusion:
Overall, the information quality of dementia prevention on WeChat was medium, with high understandability and actionability but low content completeness. Articles with more complete content and fewer advertisements have better information quality. It is recommended that publishers provide more complete articles, while platforms should strengthen advertisement supervision.
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