ArticleBMC public health2022
How users make judgements about the quality of online health information: a cross-sectional survey study.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Managing uncertainty in antibiotic decisions: factors influencing antibiotic use among chinese parents of children in a multi-source information environment.International journal of qualitative studies on health and well-being · 2026Article
- Quality, readability, and transparency of Arabic online health information on temporomandibular disorders: An infodemiological analysis of 408 websites.Journal of Taibah University Medical Sciences · 2026Article
- Evaluating patients' trust in health information based on different dimensions of trust.Scientific reports · 2026Article
- Psychological factors associated with Chinese users' adoption of AI-generated health education short videos: a PLS-SEM-ANN-IPMA study.Frontiers in psychology · 2026Article
- Knowledge, attitudes, and practices toward nutritional management among patients with gastrointestinal cancer: A cross-sectional study.Asia-Pacific journal of oncology nursing · 2025Article
- Lower Back Pain Imaging: A Readability Analysis.Cureus · 2023Article
- Knowledge about stem cell sources and obstacles in donation of bone marrow and peripheral blood stem cells: a cross-sectional survey from Ha'il city to track the prospects of regenerative medicine in Saudi Arabia.Journal of pharmaceutical health care and sciences · 2023Article
- Article
- The AI-educated patient.Digital healthArticle
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPeople increasingly use the Internet to seek health information. However, the overall quality of online health information remains low. This situation is exacerbated by the unprecedented "infodemic", which has had negative consequences for patients. Therefore, it is important to understand how users make judgements about health information by applying different judgement criteria.
objectiveThe objective of this study is to determine how patients apply different criteria in their judgement of the quality of online health information during the pandemic. In particular, we investigate whether there is consistency between the likelihood of using a particular judgement criterion and its perceived importance among different groups of users.
methodsA cross-sectional survey was conducted in one of the leading hospitals in a coastal province of China with a population of forty million. Combined-strategy sampling was used to balance the randomness and the practicality of the recruiting process. A total of 1063 patients were recruited for this study. Chi-square and Kruskal-Wallis analyses were used to analyse the survey data.
resultsIn general, patients make quality judgement of health information more frequently based on whether it is familiar, aesthetic, and with expertise. In comparison, they put more weights on whether health information is secure, trustworthy, and with expertise when determining its quality. Criteria that were considered more important were not always those with a higher likelihood of being used. Patients may not use particular criteria, such as familiarity, identification, and readability, more frequently than others even if they consider them to be more important than other do and vice versa. Surprisingly, patients with a primary school degree put more weight on whether health information is comprehensive than those with higher degrees do in determining its quality. However, they are less likely to use this guideline in practice.
conclusionsTo the best of our knowledge, this is the first study to investigate the consistency between the likelihood of using certain quality judgement criteria and their perceived importance among patients grouped by different demographic variables and eHealth literacy levels. The findings highlight how to improve online health information services and provide fine-grained customization of information for users.
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