ArticleJournal of medical Internet research2021
Willingness to Adopt Health Information Among Social Question-and-Answer Community Users in China: Cross-sectional Survey Study.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- From facilitating conditions to intention to use internet hospitals among doctors: multiple mediators of perceived risk and performance expectancy.BMC health services research · 2026Article
- Exploring Predictors of Counselors' Acceptance of Virtual Reality Exposure Therapy With Resistance and Job Contexts as Moderators: Cross-Sectional Mixed Methods Study.Journal of medical Internet research · 2025Article
- The influence of recommendation algorithms on users' intention to adopt health information: does trust belief play a role?Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Family and job microsystems as mediators between social integration and depression among rural-to-urban migrant workers in China: does having sons make a difference?Frontiers in public health · 2024Article
- Relationship between perceived social support and mental health among Chinese college football athletes: a moderated mediation model.BMC psychology · 2023Article
- The Behavioral Intention to Adopt Circular Economy-Based Digital Technology for Agricultural Waste Valorization.Foods (Basel, Switzerland) · 2023Article
- Immigration status as a determinant of health information-seeking behavior among undergraduates of color at an urban commuter college.Health promotion perspectives · 2022Article
- Middle-aged and elderly users' continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China.BMC medical informatics and decision making · 2021Article
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5 authors.
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Abstract
backgroundCOVID-19 has spread around the world and has increased the public's need for health information in the process. Meanwhile, in the context of lockdowns and other measures for preventing SARS-CoV-2 spread, the internet has surged as a web-based resource for health information. Under these conditions, social question-and-answer communities (SQACs) are playing an increasingly important role in improving public health literacy. There is great theoretical and practical significance in exploring the influencing factors of SQAC users' willingness to adopt health information.
objectiveThe aim of this study was to establish an extended unified theory of acceptance and use of technology model that could analyze the influence factors of SQAC users' willingness to adopt health information. Particularly, we tried to test the moderating effects that different demographic characteristics had on the variables' influences.
methodsThis study was conducted by administering a web-based questionnaire survey and analyzing the responses from a final total of 598 valid questionnaires after invalid data were cleaned. By using structural equation modelling, the influencing factors of SQAC users' willingness to adopt health information were analyzed. The moderating effects of variables were verified via hierarchical regression.
resultsPerformance expectation (β=.282; P<.001), social influence (β=.238; P=.02), and facilitating conditions (β=.279; P=.002) positively affected users' willingness to adopt health information, whereas effort expectancy (P=.79) and perceived risk (P=.41) had no significant effects. Gender had a significant moderating effect in the structural equation model (P<.001).
conclusionsSQAC users' willingness to adopt health information was evidently affected by multiple factors, such as performance expectation, social influence, and facilitating conditions. The structural equation model proposed in this study has a good fitting degree and good explanatory power for users' willingness to adopt health information. Suggestions were provided for SQAC operators and health management agencies based on our research results.
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