Online Health Information Seeking: A Review and Meta-Analysis

Influencing Factors of Online Health Information Seeking in Selected European Countries

“…Explaining O-HISB in Germany, Austria, the Netherlands, and Switzerland Our aim is to use known influencing factors of O-HISB related to the variations between the selected countries to describe and explain country-specific O-HISB. Existing models and analyses of O-HISB consider a broad range of O-HISB determinants (Wang et al, 2020;Zimmerman & Shaw, 2020), amongst which personal and situational factors are recognised as the particularly relevant ones (Johnson & Case, 2012;Lambert & Loiselle, 2007;Wang et al, 2020).…”

“…Taking the role of O-HISB for informed health-related decisions, health provision, and prevention into account (Nelson et al, 2004), we aim to explain O-HISB by focusing on personal and situational influencing factors that have proven relevant (Wang et al, 2020). Furthermore, we apply a European cross-country comparative approach, because the evidence on O-HISB from countries beyond the USA is sparse and questions about the validity of influencing factors concerning different cultural and healthcare system aspects triggering different O-HISB remain unanswered (Higgins et al, 2011;Wang et al, 2020;Zschorlich et al, 2015). We aim to reveal cross-country similarities and differences in background factors of O-HISB and country-specific as well as global influencing patterns of O-HISB focusing on four European countries as a starting point for a broader European perspective on O-HISB.…”

Interpersonal influences on self‐management in the eHealth era: Predicting the uses of eHealth tools for self‐care in America

“…While a wide range of health beliefs are believed to act as antecedents, many CMIS studies have focused self‐efficacy as one of the key health beliefs that affect health information seeking. A meta‐analysis (Wang, Shi, & Kong, 2020) suggests that self‐efficacy is one of the most significant predictors of online health information seeking. Studies also identified the pathway through which self‐efficacy affects health information behaviours.…”

Turn to the Internet First? Using Online Medical Behavioral Data to Forecast COVID-19 Epidemic Trend

“…The digital transformation of healthcare services has allowed citizens to access various online medical services, such as OMS, OMA, and OMC ( Agarwal, Gao, DesRoches et al., 2010 ). These online medical services have become increasingly popular partly because of their ease of access, convenience, immediacy, and interactivity and partly because of the high medical burden and patient demands ( Wang, Shi, & Kong, 2020 ). Such online medical services satisfy public needs from different perspectives.…”