scholarly journals Determinants of online health information-seeking behavior: A cross-sectional survey among residents of an urban settlement in Delhi

2020 ◽  
Vol 9 (1) ◽  
pp. 344
Author(s):  
PragyanParamita Parija ◽  
Poornima Tiwari ◽  
Priyanka Sharma ◽  
SunilKumar Saha
2019 ◽  
Vol 11 (17) ◽  
pp. 4604 ◽  
Author(s):  
Wang ◽  
Xiu ◽  
Shahzad

Although key factors of online health information-seeking behavior (OHISB), such as self-efficacy, Internet experience, and perceived ease of use, are analyzed in many studies, the research results are controversial. The purpose of this meta-analysis, based on 27 related empirical studies, is to explore the determinants of OHISB. The determinants of OHISB are classified into four categories: demographic characteristic factors, cognitive factors, internal factors, and external factors. According to the results of the analysis using Stata13.0, our study found a weak effect of perceived cost and health anxiety on the OHISB, while subjective norm, perceived usefulness, and attitude have a strong positive effect on the OHISB. Understanding the determinants of OHISB is beneficial in order to know why users utilize online health applications. The findings of the study can contribute to developing and extending the existing theoretical concepts.


2016 ◽  
Vol 22 (4) ◽  
pp. 804-814 ◽  
Author(s):  
Jinhui Li ◽  
Yin-Leng Theng ◽  
Schubert Foo

The Internet has become an important and preferred source of health information. Although the literature has highlighted several key predictors that influence an individual’s online health information seeking behavior, insufficient attention has been paid to the changes in the predictors’ roles and effects over time. This study explores and compares the effects that specific predictors had on online health information seeking behavior over a period of 10 years by integrating and analyzing two Pew datasets collected in 2002 and 2012. Hierarchical regression analyses indicate that socio-demographic factors and overall health condition are significant predictors that had an increasing impact on online health information seeking behavior. However, the impact of Internet usage decreased significantly from 2002 to 2012. A comparison across time contributes to a vertical understanding of the changes in online health information seeking behavior and its predictors and helps health professionals and researchers tailor their informational interventions to meet the up-to-date needs and preferences of users.


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