Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM
Objective To systematically investigate the key determinants influencing health information quality in social media environments and elucidate their hierarchical relationships, thereby providing evidence-based guidance for quality improvement. Methods This study employed an innovative integration of...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-07-01
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| Series: | Digital Health |
| Online Access: | https://doi.org/10.1177/20552076251363463 |
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| _version_ | 1849251669656731648 |
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| author | Xing Zhai Qinxiang Wang Yaqing Nie Aiqing Han Ruifeng Li |
| author_facet | Xing Zhai Qinxiang Wang Yaqing Nie Aiqing Han Ruifeng Li |
| author_sort | Xing Zhai |
| collection | DOAJ |
| description | Objective To systematically investigate the key determinants influencing health information quality in social media environments and elucidate their hierarchical relationships, thereby providing evidence-based guidance for quality improvement. Methods This study employed an innovative integration of meta-ethnography and Decision-Making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) methodologies. Through systematic extraction and multi-dimensional analysis of influencing factors—including centrality metrics, causal relationships, and hierarchical structures—we developed a comprehensive mechanism model clarifying factor interactions and their cumulative impacts on health information quality enhancement. Results Our analysis identified 18 critical factors affecting health information quality, which were categorized into six distinct hierarchical levels through rigorous computational modeling. The results revealed complex cross-level interactions and mutual influences among these determinants. Nine core factors emerged as pivotal: information accuracy, authority orientation, platform reputation, creator expertise, information utility, health information literacy, content originality, source authority, and health concepts. Conclusion The findings establish a hierarchical quality improvement framework, suggesting that targeted interventions focusing on the nine core factors can significantly enhance health information quality in social media ecosystems. This study provides both theoretical foundations and practical insights for multi-stakeholder collaborative governance in digital health communication. |
| format | Article |
| id | doaj-art-48b29022203c44d5bfbc3ddf2e5c6615 |
| institution | Kabale University |
| issn | 2055-2076 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Digital Health |
| spelling | doaj-art-48b29022203c44d5bfbc3ddf2e5c66152025-08-20T03:56:54ZengSAGE PublishingDigital Health2055-20762025-07-011110.1177/20552076251363463Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISMXing Zhai0Qinxiang Wang1Yaqing Nie2Aiqing Han3Ruifeng Li4 School of Management, , Beijing, China Xi’an Children's Hospital, Xi’an, China School of Management, , Beijing, China School of Management, , Beijing, China School of Management, , Beijing, ChinaObjective To systematically investigate the key determinants influencing health information quality in social media environments and elucidate their hierarchical relationships, thereby providing evidence-based guidance for quality improvement. Methods This study employed an innovative integration of meta-ethnography and Decision-Making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) methodologies. Through systematic extraction and multi-dimensional analysis of influencing factors—including centrality metrics, causal relationships, and hierarchical structures—we developed a comprehensive mechanism model clarifying factor interactions and their cumulative impacts on health information quality enhancement. Results Our analysis identified 18 critical factors affecting health information quality, which were categorized into six distinct hierarchical levels through rigorous computational modeling. The results revealed complex cross-level interactions and mutual influences among these determinants. Nine core factors emerged as pivotal: information accuracy, authority orientation, platform reputation, creator expertise, information utility, health information literacy, content originality, source authority, and health concepts. Conclusion The findings establish a hierarchical quality improvement framework, suggesting that targeted interventions focusing on the nine core factors can significantly enhance health information quality in social media ecosystems. This study provides both theoretical foundations and practical insights for multi-stakeholder collaborative governance in digital health communication.https://doi.org/10.1177/20552076251363463 |
| spellingShingle | Xing Zhai Qinxiang Wang Yaqing Nie Aiqing Han Ruifeng Li Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM Digital Health |
| title | Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM |
| title_full | Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM |
| title_fullStr | Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM |
| title_full_unstemmed | Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM |
| title_short | Research on the impact mechanism of health information quality in the social media environment: An analysis based on meta-ethnography and DEMATEL-ISM |
| title_sort | research on the impact mechanism of health information quality in the social media environment an analysis based on meta ethnography and dematel ism |
| url | https://doi.org/10.1177/20552076251363463 |
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