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RSS FeedsIJERPH, Vol. 16, Pages 2455: Understanding the Factors Influencing Patient E-Health Literacy in Online Health Communities (OHCs): A Social Cognitive Theory Perspective (International Journal of Environmental Research and Public Health)

 
 

11 july 2019 08:00:26

 
IJERPH, Vol. 16, Pages 2455: Understanding the Factors Influencing Patient E-Health Literacy in Online Health Communities (OHCs): A Social Cognitive Theory Perspective (International Journal of Environmental Research and Public Health)
 


Although online health communities (OHCs) are increasingly popular in public health promotion, few studies have explored the factors influencing patient e-health literacy in OHCs. This paper aims to address the above gap. Based on social cognitive theory, we identified one behavioral factor (i.e., health knowledge seeking) and one social environmental factor (i.e., social interaction ties) and proposed that both health knowledge seeking and social interaction ties directly influence patient e-health literacy; in addition, social interaction ties positively moderate the effect of health knowledge seeking on patient e-health literacy. We collected 333 valid data points and verified our three hypotheses. The empirical results provide two crucial findings. First, both health knowledge seeking and social interaction ties positively influence patient e-health literacy in OHCs. Second, social interaction ties positively moderate the effect of health knowledge seeking on patient e-health literacy. These findings firstly contribute to public health literature by exploring the mechanism of how different factors influence patient e-health literacy in OHCs and further contribute to e-health literacy literature by verifying the impact of social environmental factors.


 
214 viewsCategory: Medicine, Pathology, Toxicology
 
IJERPH, Vol. 16, Pages 2456: Early Childhood Oral Health and Nutrition in Urban and Rural Nepal (International Journal of Environmental Research and Public Health)
IJERPH, Vol. 16, Pages 2454: BP-ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System (International Journal of Environmental Research and Public Health)
 
 
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