scholarly journals Factors Affecting Public Adoption of Prevention and Treatment Information Under the Infodemic: Evidence from China (Preprint)

2020 ◽  
Author(s):  
Yangyang Han ◽  
Binshan Jiang ◽  
Rui Guo
Keyword(s):  
Public Health ◽  
Health Information ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Online Health Information ◽  
Mediation Effects ◽  
Information Characteristic ◽  
Treatment Information ◽  
Prevention And Treatment ◽  
Adoption Intention

BACKGROUND With the spread of the COVID-19 pandemic, the infodemic is emerging. In public health emergencies, the use of information to achieve disease prevention and treatment is particularly important. Although both the Information Acceptance Model (IAM) and Health Belief Model (HBM) have their own merits, they only focus on information or public influence factors to explain the public's online prevention and treatment information adoption intention. OBJECTIVE This study aimed to use IAM and HBM as the framework for exploring the influencing factors and paths in public health events that affect the public’s adoption of online health information and health behaviors, focusing on both information and the public aspect. METHODS We carried out an online survey to collect the respondents (n=501) in China. Structural equation modeling was used to evaluate items and construct reliability and validity via confirmatory factor analysis, and the model goodness of fit and mediation effects were analyzed. RESULTS The overall fitness indices for the model developed in this study indicated an acceptable fit. Adoption intention is predicted by information characteristic (beta=0.266, t=4.454) and perceived usefulness (beta=0.565, t=8.003), which jointly explanation nearly 67% of the adoption intention variance. Information characteristic (beta=0.244, t=4.730), perceived drawbacks (beta=-0.097, t=-3.102), perceived benefits (beta=0.512, t=7.641), and self-efficiency (beta=0.141, t=3.659) jointly determine Perceived usefulness and explanation about 81% variance of perceived usefulness. However, social influence is not statistically significant on perceived usefulness, and self-efficiency did not significantly influence adoption intention directly. CONCLUSIONS By integrating IAM and HBM, this study provided the insight and an understanding that perceived usefulness and adoption intentions of the online health information could be influenced by the information characteristic, people’s perception of information drawbacks and benefits, and self-efficiency. Moreover, people also have proactive behavior rather than reactive behavior to adopt the information. Thus, we should consider these factors to help the “informed public” obtain useful information from two aspects, and one is to improve the quality of government and other official information, the other is to improve public health literacy, to promote trusted information and fight misinformation, thereby contributing to saving lives as the pandemic continues to unfold and run its course.

scholarly journals Patient–Physician Interaction and Trust in Online Health Community: The Role of Perceived Usefulness of Health Information and Services

2019 ◽  
Vol 17 (1) ◽  
pp. 139 ◽  
Author(s):  
Yuxin Peng ◽  
Pingping Yin ◽  
Zhaohua Deng ◽  
Ruoxi Wang
Keyword(s):  
Health Information ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Online Health Information ◽  
Internet Applications ◽  
Doctor Patient Communication ◽  
Physician Trust ◽  
Study Results

Background: In recent years, China has witnessed a surge in medical disputes, including many widely reported violent riots, attacks, and protests in hospitals. Asymmetric information between patient and physicians is one of the most critical enablers in this phenomenon, but the Web has become the primary resource for Chinese Internet applications to learn about health information and could potentially play a role in this pathway to patient–physician interaction and patient–physician trust. While considerable attention has been paid in some countries, there are few researches about China’s situation for this issue. The purpose of this quantitative study was to examine the influence of online health information and the online guidance of doctors in patient health information literacy on patient–physician interaction and patient–physician trust in China. Methods: A web-based survey was conducted to collect data from online applications with health problems. A structural equation modeling was used to analyze the data to test the hypotheses. A total of 446 participants from the Tongji Hospital in Wuhan and Huazhong University of Science and Technology hospital participated in the study. Results: Our analysis shows that the usefulness of online health information and the online guidance of doctors both significantly influence the trust of the patient toward physicians and interaction with physicians. Furthermore, the patient–physician interaction also has a significant impact on the patient–physician trust. Conclusions: There are many studies on the influence of online health information on the doctor–patient relationship, whereas a little research has examined this relationship between health information online support from doctors and patient–physician interaction by quantitative empirical analysis. This study also explores the online guidance role of doctors and whether doctor–patient communication will affect the trust of doctors and patients. The practical implications of this study include an improved understanding of the function of online health information and potential impacts regarding the interaction with physicians and trust toward physicians that can be used to resolve conflicts between doctors and patients.

A Tool for Quantifying the Quality of Online Health Information on Student Health Center Websites (Preprint)

2021 ◽  
Author(s):  
Anagha Kulkarni ◽  
Mike Wong ◽  
Tejasvi Belsare ◽  
Risha Shah ◽  
Diana Yu Yu ◽  
...  
Keyword(s):  
Public Health ◽  
Young Adults ◽  
Health Center ◽  
Health Information ◽  
Information Quality ◽  
Online Health Information ◽  
Student Health ◽  
Online Information ◽  
Student Health Center

BACKGROUND The Internet has become a major source of health information especially for adolescents and young adults. Unfortunately, inaccurate, incomplete or outdated health information is widespread online. Often adolescents and young adults turn to authoritative websites such as the student health center (SHC) website of the university they are attending to obtain reliable health information. Although most on-campus SHC clinics comply with the American College Health Association (ACHA) standards, their websites are not subject to any standards or code of conduct. In the absence of quality standards or guidelines, the monitoring and compliance processes do not exist for SHC websites either. As such, there is no oversight on the health information published on the SHC websites by any central governing body. OBJECTIVE Our objective is to enable researchers to monitor online information quality at scale. We have created a tool that can efficiently quantify the quality of information posted on SHC websites about a health topic. Specifically, this quantitative tool provides information on quality, such as reading ease, coverage of the topic, and the degree of fact-based objective information. METHODS Our cross-functional team has designed and developed an open-source software, QMOHI: Quantitative Measures of Online Health Information, using the Agile software development methodology. The QMOHI tool finds the SHC website and gathers information on the specific health topic of interest from a prespecified list of university websites. Based on the retrieved text, the tool computes eight different quality metrics. The QMOHI tool is a fully automated tool that is designed to be scalable, generalizable, and robust. RESULTS The first empirical evaluation shows that the QMOHI tool is highly scalable and substantially more efficient than the manual approach of assessing online information quality. The second experimental results demonstrate QMOHI’s ability to work effectively with starkly different health topics (COVID, Cancer, LARC, and Condom) and with narrowly focused topics (hormonal IUD and copper IUD); thereby establishing the generalizability and versatility of the tool. The results from the last experiment demonstrate that QMOHI is not vulnerable to typical structural changes that SHC websites may undergo (e.g. URL changes) over a long period of time. QMOHI is able to support longitudinal studies by being robust to such website changes. CONCLUSIONS QMOHI allows public health researchers and practitioners to conduct large-scale studies of SHC websites that were previously too time intensive. The capability to generalize broadly or focus narrowly allows for wide applications of QMOHI, equipping researchers to study both mainstream and underexplored health topics. QMOHI’s ability to robustly analyze SHC websites periodically facilitates longitudinal investigations and monitor SHC progress. QMOHI serves as a launching pad for our future work that aims to develop a broadly applicable public health tool for online health information studies with potential applications far beyond SHC websites.

scholarly journals Youths’ Social Media Adoption: Theoretical Model and Empirical Evidence

2016 ◽  
Vol 11 (2) ◽  
pp. 22 ◽  
Author(s):  
M. Shakaib Akram ◽  
Wafi Albalawi
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
The Social ◽  
Perceived Enjoyment ◽  
Adoption Intention

<p>Social media has become a major source of communication and collaboration between individuals and among groups. The current paper investigates the underlying motives of social media adoption. The research identifies various determinants such as perceived connectedness, perceived enjoyment, perceived usefulness and perceived ease of use as the major influencers of social media adoption intention. Using the sample from Saudi Arabia an online survey is conducted. Structural equation modeling has been used to test the proposed relationships. The results reveal that individuals’ perceived connectedness and perceived enjoyment act as stimuli for their social media adoption intention. Moreover, perceived ease of use and perceived usefulness mediate these stimuli and the individuals’ social media adoption intention. The paper concludes with the recommendations for the academicians and the social media designers/developers.</p>

Exploring SMEs' behavioral intentions of participating in platform-based innovation ecosystems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
FenfenWei ◽  
Nanping Feng ◽  
Jinqi Xue ◽  
Ruxiang Zhao ◽  
Shanlin Yang
Keyword(s):  
Behavioral Intentions ◽  
Structural Equation ◽  
Design Methodology ◽  
Subjective Norms ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Mediation Effects ◽  
Content Type ◽  
Innovation Ecosystems ◽  
Behavior Theories

PurposeSmall- and-medium sized enterprises (SMEs) significantly contribute to the success of platform-based innovation ecosystems (PIEs). However, less is known about their behaviors and behavioral intentions (BIs) toward participating in PIEs. Considering that SMEs' BIs directly influence their behaviors and reveal the underlying logic of their behaviors, this study, therefore, focuses on SMEs' BIs and explores the antecedents to reveal the rational effects on BIs of the participation.Design/methodology/approachAn extended framework is proposed to understand SMEs' BIs toward the participation and empirically tested with data from a sample of 189 Chinese SMEs based on partial least squares structural equation modeling (PLS-SEM).FindingsThe results show that (1) the framework has a good fit in the context of PIEs and a large predictability of SMEs' BIs toward the participation; (2) as expected, SMEs' BIs are directly positively affected by their attitudes (ATTs), subjective norms (SNs) and platform leaders (PLs), while indirectly positively influenced by perceived usefulness (PU) and ease and negatively influenced by perceived risks (PRs) via mediation effects and (3) surprisingly, BIs are directly negatively affected by platforms probably because of the potential collaborative risks based on platforms.Originality/valueThis study enriches PIE literature by focusing on complementors and proposing a framework of SMEs' BI toward joining PIEs, and it also expands the application of BI–behavior theories in the context of PIEs by offering a BI–behavior perspective to analyze the rational logic of SMEs' behaviors of participating to PIEs. Practically, the main findings not only benefit SMEs to better understand their BIs and to make a wise choice toward the participation, but provide implications for PLs to proactively design interventions for attracting SMEs’ complementors.

scholarly journals Technology-Embedded Educational Policy: Mediation Effects of the Use of Virtual Learning Influence on Learner Satisfaction

2018 ◽  
Vol 6 (1) ◽  
pp. 41
Author(s):  
Narain Das ◽  
Kenneth Khawandiza Sunguh ◽  
Binesh Sarwar ◽  
Arslan Ahmed ◽  
Shah Hassan
Keyword(s):  
Factor Analysis ◽  
Significant Role ◽  
Structural Equation ◽  
Virtual Learning ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Learner Satisfaction ◽  
Mediation Effects ◽  
Use Of Technology

While research on the use of technology to enhance learner satisfaction has received so much consideration from scholars, only limited studies have examined the effects and usefulness of virtual learning about learner satisfaction. In this study, Technology Adoption Model (TAM) and Task-Technology Fit theory (TTF) have been integrated to explore how virtual learning plays a significant role specifically by testing the mediation effects that virtual learning has on the relationship between peer interaction, perceived usefulness, ease of use and learner satisfaction. The Structural Equation Modeling (SEM) technique was used to analyze the data whereby both Explanatory Factor Analysis (EFA) and a Confirmatory Factor Analysis (CFA) were performed on the variables. The results indicate that all hypotheses have been confirmed by providing significant positive relationships between the variables and more importantly, virtual learning plays a highly significant role in promoting learner satisfaction. It is concluded that higher learning institutions should incorporate virtual learning methods to motivate learners in order to encourage satisfaction hence ensuring higher performance.

scholarly journals Understanding the Health Information Sharing Behavior of Social Media Users

2021 ◽  
Vol 33 (5) ◽  
pp. 180-203
Author(s):  
Ying Hong ◽  
Meng Wan ◽  
Zheng Li
Keyword(s):  
Social Capital ◽  
Social Media ◽  
Information Sharing ◽  
Health Information ◽  
Theoretical Research ◽  
Equation Modeling ◽  
Mediation Effects ◽  
Positive Effects ◽  
Health Information Sharing ◽  
Sharing Behavior

Studies have focused on elucidating the sharing behavior of media users. However, few studies have specifically investigated users' health information sharing behavior in the social media context, especially WeChat. This study proposes a theoretical research model that integrates social capital and user gratification with the theory of planned behavior to explore health information sharing behavior of WeChat users. Based on online survey data collected from 616 WeChat users, correlation analysis and structural equation modeling were sequentially performed. It was found that both social capital and gratification factors play important roles in influencing WeChat users' health information sharing. Social interaction, acting both as social capital and gratification factor directly and indirectly generated positive effects on health information sharing intention. In conclusion, this study revealed the key determinants of health information sharing intention among WeChat users and examined the mediation effects to effectively understand users' health information sharing behavior.

Het effect van personalisatie en leeftijdscongruentie in narratieve communicatie op website satisfactie en recall van online gezondheidsinformatie

2013 ◽  
Vol 41 (4) ◽  
Author(s):  
Nadine Bol ◽  
Julia van Weert ◽  
Hanneke de Haes ◽  
Eugène Loos ◽  
Ellen Smets
Keyword(s):  
Health Information ◽  
Emotional Support ◽  
Information Age ◽  
Online Health Information ◽  
Communication Tool ◽  
Mediation Effects ◽  
Narrative Engagement ◽  
The Relationship ◽  
Moderating Role ◽  
Practical Implications

The effect of personalization and age congruency in narrative communication on website satisfaction en recall of online health information. The effect of personalization and age congruency in narrative communication on website satisfaction en recall of online health information. The effect of personalization and age congruency on website satisfaction and recall of information was tested in a 2 (personalization: personalized vs. nonpersonalized video) × 2 (age congruency: congruent vs. incongruent) experimental design (n = 275). Personalization was found to be an effective communication tool to predict recall of information. Age congruency had an effect on satisfaction with the emotional support from the website. Narrative engagement predicted both website satisfaction and recall of information, but did not mediate the relationship between personalization and the outcomes. However, significant conditional mediation effects revealed that age congruency plays a moderating role in explaining the effects of personalization on website satisfaction and recall of online health information via narrative engagement. This study provides practical implications for developing online health messages for older adults.

Laypeople’s Online Health Information Search Strategy and Utilization for Health-Related Problems: Cross-Sectional Survey (Preprint)

2021 ◽  
Author(s):  
Yen-Lin Chiu ◽  
Chin-Chung Tsai ◽  
Jyh-Chong Liang
Keyword(s):  
Regression Analysis ◽  
Health Information ◽  
Information Search ◽  
Search Strategy ◽  
Search Strategies ◽  
Equation Modeling ◽  
Online Health Information ◽  
Utilization Behavior ◽  
Health Related ◽  
Search Approach

BACKGROUND With the increase of utilizing the Internet to search health information for health-related problems, there is a necessary for health care professionals to better understand how their patients search and utilize the online health information which may influence their medical decision-making. OBJECTIVE The purposes of this study were to explore laypeople’s online health information search strategies and examine the relations between their search strategies and utilization behavior of online health information. METHODS Two scales namely “match” and “elaboration” were utilized to measure patients’ basic search strategy (i.e., simple approach) and advanced search strategy (i.e., metacognitive and integrative approach), respectively. In addition, the “consultation” scale was employed to evaluate participants’ utilization of online health information to consult doctors and others. A total sample of 253 outpatients without university education were purposely selected and surveyed. The participants were outpatients at a university-affiliated teaching hospital. The confirmatory factor analysis (CFA) was conducted with structural equation modeling (SEM) to validate the instruments. In addition, the hierarchical regression analysis was employed to examine the correlations between variables and execute the interaction and curvilinear analysis. RESULTS The results of regression analysis showed both elaboration search strategy (ꞵ = 0.61, p < 0.001) and match strategy (ꞵ = 0.29, p < 0.001) were positively correlated to consultation on online health information with doctors and others. In addition, the interaction and curvilinear analyses indicated that there were significant interaction effect between elaboration and match on consultation (ꞵ = -0.34, p < 0.001) and significant curvilinear relationship between match and consultation (ꞵ = -0.12, p < 0.05). CONCLUSIONS Increasing patients’ exposure to online health information through both simple search approach (i.e., match strategy) and complex search approach (i.e., elaboration strategy) may lead them to appropriately utilize the information to consult doctors and others. However, the elaboration approach was more recommended rather than match approach since the former may result in more desirable utilization behavior of online health information. The results of this study may help healthcare professionals better understand how to communicate with their patients through the online health information.

scholarly journals Online health information seeking by parents for their children. A systematic review

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
C Kubb ◽  
H Foran
Keyword(s):  
Public Health ◽  
Systematic Review ◽  
Health Information ◽  
Information Seeking ◽  
Theoretical Models ◽  
Online Health Information ◽  
Health Information Seeking ◽  
Health Related ◽  
Online Health Information Seeking ◽  
Search Behaviors

Abstract Background Parents commonly use the internet to search for information about their child’s health-related symptoms and guide parental health-related decisions. Despite the importance of parental search behaviors, this area of research remains understudied and no comprehensive review of this research area has been conducted. Our aim is to summarize the existing findings on searched topics and search experience of online health information seeking among parents for their children with focus on building an agenda for further research and recommendations for public health. Methods We conducted a comprehensive systematic literature review of parental online health information seeking studies in the databases of PsycInfo, JMIR and PubMED. Studies from 1994 to June 2018 were considered. Results A total of 33 studies met the eligibility criteria, including 8665 parents. Findings suggest that parents worldwide are heavy online users of health-related information for their children across highly diverse circumstances. Parents report wishing for more guidance especially from their pediatrician on how to find online health information; however, studies found parents rarely report discussing online health information with their healthcare providers. Only five studies investigated health anxiety related to online health information and prevalences ranged from 14% and 52%, three examined theoretical models, and only three examined consequences of search behaviors more in-depth. Conclusions Results of this systematic review identify important gaps in theoretical models, risk factors to predict search behaviors, and health outcomes associated with parental search behaviors. An agenda for future research will be presented. Key messages Parents are heavy users of the health-related web, but more research is needed to support them in effective use. Tailored digital public health approaches could empower parents to make better use of online resources and improve health-related decision making.

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