Professionalism vs. engagement
Quality of SSc information on WeChat
Bibliographic Data
| ID | 22086189 |
|---|---|
| Authors | Lei Wang (0000-0001-5326-565X, Nantong University), Yue Xiong (0000-0003-2744-6566, Soochow University), Tingting Wu (0000-0001-8236-2256, Soochow University), Yingying Gao (0000-0001-9944-9059), Yifan Gao (0000-0003-2781-6862, Nantong University), Haojie Chen (0000-0002-7367-532X, Nantong University), Xin Chu (0000-0002-5773-8052, Nantong University), Baofeng Zhu (Nantong University), Jing Cao (0000-0001-8249-2915, Soochow University, corresponding author), Tao Cheng (0000-0002-3945-2050), Cheng Tao (0000-0002-1149-753X, Soochow University, corresponding author), Mingjun Wang (0009-0006-9414-4479, Soochow University, corresponding author) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1527853-1527853 |
| Publication date | 2025-05-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1527853 |
| PMID | 40438054 |
| OpenAlex | W4410380033 |
| Language | EN |
| References cited | 65 |
Background: Systemic sclerosis (SSc) is a rare autoimmune disease, and WeChat is a major source of health information in China. This study assesses the quality of SSc information on WeChat to understand its impact on public knowledge and engagement. Methods: A total of 375 articles from 9 WeChat public accounts were systematically analyzed using the DISCERN and Global Quality Scale (GQS) tools. Article quality was evaluated based on source credibility, content accuracy, and user engagement, including metrics such as views, likes, and comments. Results: Individual authors posted 50% of the articles, while non-profit organizations posted 21%, with non-profits providing higher quality content. Disease knowledge dominated (52.8%), yet readers showed higher interest in policy interpretation and rehabilitation. The average DISCERN and GQS scores were 28.96 and 1.62, indicating low quality across articles. Conclusion: While WeChat facilitates SSc information dissemination, the overall quality is lacking. Enhancing professionalism and interactivity on health information platforms like WeChat could better meet the needs of patients and the public for reliable information
Business · Health care · Health information · Information quality · Information system · Internet privacy · Political science · Computer Science · Health Literacy and Information Accessibility · Medicine · Psychology · Social Media in Health Education · Systemic Sclerosis and Related Diseases
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| Citation velocity | historical |
|---|---|
| Highly cited | No |