Analysis of the correlation between article content and user feedback on hospital wechat public numbers
10.3969/j.issn.1671-332X.2025.06.005
- VernacularTitle:医院微信公众号文章内容与用户反馈行为的关联性分析
- Author:
Jinling CHEN
1
;
Junyi LIANG
;
Zuqiang WU
Author Information
1. 广东医科大学公共卫生学院 广东东莞 523808;佛山市南海区人民医院 广东佛山 528200
- Publication Type:Journal Article
- Keywords:
Hospital public;
Article;
User feedback behavior;
Health communication
- From:
Modern Hospital
2025;25(6):840-844
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the relationship between article content and user feedback on WeChat public numbers in hospitals,and to provide data support and theoretical basis for optimizing public number content and health communication strategy.Methods 1 279 tweets of WeChat public number of a tertiary public hospital from 2023 to 2024 were selected to ana-lyze the relationship between article categories and user feedback behavior,interactive behavior and article dissemination effect,and to assess the important influencing factors of user attention conversion behavior.Results The articles in the health science popularization category show significant advantages in the indicators of users' reading and sharing behaviors;the interactive indica-tors of users' liking and commenting have a significant positive effect on the dissemination effect of the articles,while the number of"watching"hurts the number of readings;the assessment of the random forest model shows that the number of readings genera-ted by sharing and the number of readings brought by each sharing are the most important factors influencing the users' attention.The random forest model assessment showed that the number of reads generated by sharing and the number of reads per share were the most important factors influencing users' attention.Conclusion Health science articles dominate users' reading and sharing behaviors,user interaction significantly improves the dissemination effect and attention conversion of the articles,and the number of reads generated by sharing is the key factor determining users' attention.This suggests that content dissemination strategies need to be combined with the content characteristics of the article,focusing on improving the interaction and sharing guidance of con-tent with high dissemination potential.
