Associations Among Online Health Information Seeking Behavior, Online Health Information Perception, and Health...

Seeking online health information can empower individuals to better understand their health concerns, facilitating their ability to manage their health conditions more effectively. It has the potential to change the likelihood and frequency of health service usage. Although existing literature has demonstrated the prevalence of seeking online health information among different populations, the factors affecting online health information perception and discussions on the associations between seeking online health information and health service utilization are limited.

We analyzed the associations between online health information seeking behavior and health service utilization, as well as the online health information perception delivery mechanism.

We analyzed data from the Chinese General Social Survey, the first national representative survey conducted in mainland China. The independent variable was the online health information seeking behavior. The outcome variable was health service utilization by the respondents, and online health information perception was selected as the mediating variable in this analysis. Factor analysis was conducted to obtain online health information perception. Multiple regressions were performed to investigate the effect of online health information seeking behavior on physician visits. Bootstrap methods were conducted to test the mediation effects of online health information perception.

This analysis included 1475 cases. Among the participants, 939 (63.66%) sought online health information in the last 12 months. The mean age of the respondents was 46.72 (SD 15.86) years, and 794 (53.83%) were females. After controlling for other variables, individuals with online health information seeking behaviors showed 0.289 times more outpatient visits (P=.003), 0.131 times more traditional Chinese medicine outpatient visits (P=.01), and 0.158 times more Western medicine outpatient visits (P=.007) over the past year compared to those who did not seek health information online. Additionally, multiple regression analyses revealed statistically significant effects of gender, age, and health status on physician visits. The total effect revealed that seeking online health information significantly influenced the total physician visits (β=0.290; P=.003), indicating a certain correlation between online health information seeking behavior and physician visits. Seeking online health information had a significant positive impact on the perception (β=0.265; P<.001). The mediation effects analysis identified that online health information perception led to a significant increase in physician visits with the increase in the online health information seeking behaviors (β=0.232; P=.02).

The online health information perception of an individual influences the effect online health information seeking has on the frequency of physician visits. The online health information seeking behavior impacts outpatient service utilization both directly and indirectly through online health information perception and significantly increases the frequency of clinic visits after controlling for other variables. Interventions can be explored to improve the health utilization of residents by increasing their online health information perception.