Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy

Cao, Weidan; Zhang, Xinyao; Xu, Kaibin; Wang, Yuanxin

doi:10.1080/10410236.2015.1045236

Cited by 83 publications

(60 citation statements)

References 36 publications

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“…It seems to be growing almost exponentially, and perhaps will go beyond searches on breast cancer in the next few years. It is consistent, with several works describing the use of Internet (boosted by higher educational level and the worldwide widespread of mobile phones) as a resource to self-care [25,26]. There is also a close correlation between the level of education—which has grown in Brazil in the last decades [27]—and accesses by Google to issues concerning science and health [28].…”

Section: Discussionsupporting

confidence: 81%

Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?

Vasconcellos-Silva

Carvalho²,

Trajano

et al. 2017

JMIR Public Health Surveill

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BackgroundOne of the major challenges of the Brazilian Ministry of Health is to foster interest in breast cancer screening (BCS), especially among women at high risk. Strategies have been developed to promote the early identification of breast cancer mainly by Pink October campaigns. The massive number of queries conducted through Google creates traffic data that can be analyzed to show unrevealed interest cycles and their seasonalities.ObjectivesUsing Google Trends, we studied cycles of public interest in queries toward mammography and breast cancer along the last 5 years. We hypothesize that these data may be correlated with collective interest cycles leveraged by national BCS campaigns such as Pink October.MethodsGoogle Trends was employed to normalize traffic data on a scale from 0 (<1% of the peak volume) to 100 (peak of traffic) presented as weekly relative search volume (RSV) concerning mammography and breast cancer as search terms. A time series covered the last 261 weeks (November 2011 to October 2016), and RSV of both terms were compared with their respective annual means. Polynomial trendlines (second order) were employed to estimate overall trends.ResultsWe found an upward trend for both terms over the 5 years, with almost parallel trendlines. Remarkable peaks were found along Pink October months— mammography and breast cancer searches were leveraged up reaching, respectively, 119.1% (2016) and 196.8% (2015) above annual means. Short downward RSVs along December-January months were also noteworthy along all the studied period. These trends traced an N-shaped pattern with higher peaks in Pink October months and sharp falls along subsequent December and January.ConclusionsConsidering these findings, it would be reasonable to bring Pink October to the beginning of each year, thereby extending the beneficial effect of the campaigns. It would be more appropriate to start screening campaigns at the beginning of the year, when new resolutions are taken and new projects are added to everyday routines. Our work raises attention to the study of traffic data to encourage health campaign analysts to undertake better analysis based on marketing practices.

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Section: Discussionsupporting

confidence: 81%

Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?

Vasconcellos-Silva

Carvalho²,

Trajano

et al. 2017

JMIR Public Health Surveill

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“…Considering the predictive roles of risk perceptions and self-efficacy in health information seeking, it is assumed that individuals consider engaging in online communication behaviors when they individually perceive an infectious disease and/or a societal risk issue, and they are confident in their ability to exert personal control. Previous studies found that perceived risks and self-efficacy predicted selective exposure to online health messages (Hastall and Knobloch-Westerwick 2013) and online health information seeking (Cao et al 2016).…”

Section: Psychosocial Factorsmentioning

confidence: 93%

Predictors of expressing and receiving information on social networking sites during MERS-CoV outbreak in South Korea

Yoo

Choi

2019

Journal of Risk Research

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Social networking sites (SNS) are becoming one of the most significant platforms for social interaction and information exchange in epidemics. Nevertheless, relatively little is known about what facilitates or hinders individuals' engagement in information exchange in the event of an infectious disease outbreak. This study examined the effects of potential predictors that might be associated with the expression and reception of information on SNS during the South Korea Middle East respiratory syndrome (MERS) outbreak. Analysis of an online survey among 1000 adults from the general population of South Korea showed that expressing and receiving MERS-related information were predicted differentially by diverse social-demographic, socioeconomic , and psychosocial factors. Among psychosocial characteristics, risk perceptions and self-efficacy interacted with each other to predict the expression and reception of MERS-related information. Theoretical and practical implications of the findings are discussed.

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“…First, the previous studies have seldom simultaneously considered online and offline factors when investigating doctors' behaviors in eHealth [1,2,11,16,35,36]. However, as there are close interactions between online health platforms and offline hospitals [4,7], it is not sufficient to focus solely on motivations provided by online channels.…”

Section: Theoretical Implicationsmentioning

confidence: 99%

Exploring Doctors’ Willingness to Provide Online Counseling Services: The Roles of Motivations and Costs

Chen

Lan

Chang

et al. 2019

IJERPH

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With the impetus of information communication technology (ICT), emerging eHealth has attracted increasing number of doctors' participation in online health platforms, which provide various potential benefits to doctors. However, previous studies on eHealth have seldom distinguished different service modes provided by doctors. In addition, the bulk of the literature has considered doctors' motivations based solely on online environments. To fill this gap, this study combines expectancy theory and the Bagozzi, Dholakia, and Basuroy (BDB) model to examine the relationships between anticipated outcomes, performance expectations, and effort intentions from online and offline perspectives. Doctors' behavioral intentions are further divided into two categories: the willingness to offer free services and paid services. Using SmartPLS, this study conducts structural equation modeling (SEM) to analyze 311 sample data. The results show that extrinsic motivations (i.e., extrinsic rewards, expected relationships, and image) and intrinsic motivation (i.e., a sense of self-worth) significantly influence the desire to serve patients well, which in turn positively affects the willingness to offer free services and the willingness to offer paid services. Moreover, counseling time is confirmed as the main cost, which negatively moderates the relationships between desire and behavioral intentions. The findings provide theoretical insights for eHealth and provide practical suggestions to develop marketing strategies for online health platform providers.

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Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy

Cited by 83 publications

References 36 publications

Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?

Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?

Predictors of expressing and receiving information on social networking sites during MERS-CoV outbreak in South Korea

Exploring Doctors’ Willingness to Provide Online Counseling Services: The Roles of Motivations and Costs

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