Online Health Information-Seeking Behavior Among Korean American Immigrants in Rural Alabama: Dose Discrimination Matter?

Author(s):  
Hee Yun Lee ◽  
Zhichao Hao ◽  
Eun Young Choi
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.


2020 ◽  
Author(s):  
Xiaoman Zhao ◽  
Ju Fan ◽  
Iccha Basnyat ◽  
Baijing Hu

BACKGROUND First detected in Wuhan, China in December 2019, the novel coronavirus (i.e., “COVID-19”) pandemic stretched the medical system in Wuhan and posed an immense challenge to the state’s risk communication efforts. Timely access to quality healthcare information during outbreaks of infectious diseases can be effective to curtail the spread of disease and feelings of anxiety. While these existing studies have greatly extended our knowledge about online health information seeking behavior, processes and motivations, rarely have the findings been applied to an outbreak. Moreover, there is relatively little recent research on how people in China are using the Internet for seeking health information in a time of a pandemic. OBJECTIVE The objective of our study was to explore how people in China are using the Internet for seeking health information in a time of a pandemic. Drawing on previous research of online health information seeking, this study asks the following research questions: How was the “#COVID-19 Patient Seeking Help” hashtag being used by patients in Wuhan seeking health information on Weibo at the peak of the outbreak?; What kinds of health information were patients in Wuhan seeking on Weibo at the peak of the outbreak? METHODS Using entity identification and textual analysis on 10908 posts on Weibo, we identified 1496 Coronavirus patients using “#COVID-19 Patient Seeking Help” and explored their online health information seeking behavior. RESULTS The curve of the hashtag posting provided a dynamic picture of public attention to the COVID-19 pandemic. Many patients faced difficulties accessing offline health care services. In general, our findings confirmed that the Internet is used by the Chinese public as an importance source of health information. The lockdown policy was found to cut off the patients’ social support network, preventing them from seeking help from family members. The ability to seek information and help online, especially for those with young children or elderly members was especially essential during the pandemic. A high proportion of female users were seeking health information and help for their parents or for the elder at home. The most searched information included accessing medical treatment; managing self-quarantine; and offline to online support. CONCLUSIONS Overall, the findings contribute to our understanding of health information seeking behaviors during an outbreak and highlight the importance of paying attention to the information need of vulnerable groups and the role social media may play.


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