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.

Online Health Information Consumers’ Learning across Health-Related Search Tasks from the Perspective of Retrieval Platform Switching (Preprint)

2021 ◽  
Author(s):  
Yijing Chen ◽  
Hanming Lin ◽  
Jin Zhang ◽  
Yiming Zhao
Keyword(s):  
Information Retrieval ◽  
Health Information ◽  
Information Search ◽  
Health Knowledge ◽  
Online Health Information ◽  
Related Information ◽  
Search Tasks ◽  
Health Related ◽  
Platform Switching ◽  
Information Consumers

BACKGROUND Online health information retrieval has been a top choice for acquiring health information and knowledge by millions worldwide. OBJECTIVE This study aims to investigate consumers’ modification of retrieval platform switch paths across health-related search tasks and learning via such a change. METHODS A lab user experiment was designed to obtain data on consumers’ health information search behavior. Participants accomplished health-related information search tasks. Screen movements were recorded by EV screen-recording software. The participants underwent in-depth interviews immediately after finishing the tasks. Screen recordings and interview data were both coded and analyzed. RESULTS Three types of learning, including the similar transfer learning, optimizing learning, and SERP-guided learning were identified based on five change patterns of retrieval platform switch paths adopted by health information consumers from task 1 to task 2. Health information consumers’ retrieval platform switch based on information usefulness evaluation. And they accessed different amounts and types of health knowledge from different retrieval platforms. CONCLUSIONS The results suggest that health information consumers exhibit learning both through retrieval platform switching and the knowledge they consume during the search process. This facilitates the assessment of a certain retrieval platform’s usefulness by measuring the amount and types of health knowledge in each search result. This study also contributes to the enhancement of consumers’ health information retrieval abilities, and to helping optimize health information retrieval platforms by increasing their exposure to consumers and increasing the matching degree between knowledge types and consumer needs.

scholarly journals Online health information-seeking behaviors and skills of Chinese college students

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dangui Zhang ◽  
Weixin Zhan ◽  
Chunwen Zheng ◽  
Jinsheng Zhang ◽  
Anqi Huang ◽  
...  
Keyword(s):  
College Students ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Health Information ◽  
Information Seeking ◽  
Online Health Information ◽  
Chinese College Students ◽  
Link Type ◽  
Bivariate Logistic Regression ◽  
Information Seeking Behaviors

Abstract Background Seeking online health information (OHI) has become a common practice globally. The information seekers could face health risks if they are not proficient in OHI literacy. The OHI-seeking behaviors and skills of Chinese college students, the largest proportion of college students in the world, are understudied. This study was aimed to describe OHI-seeking behaviors and skills of college students in Guangdong, China. Methods College students in the Guangdong province with OHI-seeking experience were invited via WeChat, QQ, and Sina Weibo using QR code posters and flyers for participation in this online anonymized questionnaire-based study. Data on demographics, OHI literacy, information resources, search approaches, and behaviors were collected. The relationship between perceived OHI literacy and high-risk behaviors was investigated by bivariate logistic regression analysis. Results Respondents were 1203 college students with a mean age of 20.6 years, females (60.2%), and undergraduates (97.2%). They sought health information via websites (20.3%), WeChat (2.6%), or both (77.1%). Baidu was the main search engine, and baike.baidu.com (80.3%), Zhihu.com (48.4%), and Zhidao.baidu.com (35.8%) were top three among 20 searched websites for information about self-care (80.7%), general health (79.5%), disease prevention (77.7%), self-medication (61.2%), family treatment (40.9%), drugs (37.7%), western medications (26.6%), hospitals (22.7%), physicians (21.4%), and Traditional Chinese Medicine (15.6%). Despite most respondents (78%) lacked confidence in the evidence quality and satisfaction with the results, only 32.4% further consulted doctors. Many (> 50%) would recommend the retrieved information to others. About 20% experienced hacking/Internet fraud. Cronbach’s alpha for the internal consistency of OHI literacy was 0.786. Bivariate logistic regression analysis showed that students who believed they can judge the evidence level of OHI were more likely to self-diagnose (OR = 2.2, 95%CI, 1.6–3.1) and look for drug usage (OR = 3.1, 95%CI, 1.9–5.0). Conclusions This study reveals Chinese college students’ heavy reliance on OHI to manage their own and others’ health without sufficient knowledge/skills to identify misinformation and disinformation. The apparent risky information-seeking behaviors of Chinese college students warrant the provision of regulated, accurate, and actionable health information; assurance of cybersecurity; and health information literacy promotion in colleges by concerned authorities.

scholarly journals Lifestyle Segmentation to Explain the Online Health Information–Seeking Behavior of Older Adults: Representative Telephone Survey

10.2196/15099 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15099 ◽  
Author(s):  
Winja Weber ◽  
Anne Reinhardt ◽  
Constanze Rossmann
Keyword(s):  
Older Adults ◽  
Health Information ◽  
Information Seeking ◽  
Internet Use ◽  
Information Seeking Behavior ◽  
The Internet ◽  
Online Health Information ◽  
Sociodemographic Variables ◽  
Seeking Behavior ◽  
Health Related

Background As a result of demographic changes, the number of people aged 60 years and older has been increasing steadily. Therefore, older adults have become more important as a target group for health communication efforts. Various studies show that online health information sources have gained importance among younger adults, but we know little about the health-related internet use of senior citizens in general and in particular about the variables explaining their online health-related information–seeking behavior. Media use studies indicate that in addition to sociodemographic variables, lifestyle factors might play a role in this context. Objective The aim of this study was to examine older people’s health-related internet use. Our study focused on the explanatory potential of lifestyle types over and above sociodemographic variables to predict older adults’ internet use for health information. Methods A telephone survey was conducted with a random sample of German adults aged 60 years and older (n=701) that was quota-allocated by gender, age, educational status, and degree of urbanity of their place of residence. Results The results revealed that participants used the internet infrequently (mean 1.82 [SD 1.07]), and medical personnel (mean 2.89 [SD 1.11]), family and friends (mean 2.86 [SD 1.21]), and health brochures (mean 2.85 [SD 1.21]) were their main sources of health information. A hierarchical cluster analysis based on values, interests, and leisure time activities revealed three different lifestyle types for adults aged over 60 years: the Sociable Adventurer, the Average Family Person, and the Uninterested Inactive. After adding these types as second-step predictors in a hierarchical regression model with sociodemographic variables (step 1), the explained variance increased significantly (R2=.02, P=.001), indicating that the Average Family Person and the Sociable Adventurer use the internet more often for health information than the Uninterested Inactive, over and above their sociodemographic attributes. Conclusions Our findings indicate that the internet still plays only a minor role in the health information–seeking behavior of older German adults. Nevertheless, there are subgroups including younger, more active, down-to-earth and family-oriented males that may be reached with online health information. Our findings suggest that lifestyle types should be taken into account when predicting health-related internet use behavior.

scholarly journals Online Health Information Seeking by Parents for Their Children: Systematic Review and Agenda for Further Research

10.2196/19985 ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. e19985
Author(s):  
Christian Kubb ◽  
Heather M Foran
Keyword(s):  
Systematic Review ◽  
Conceptual Model ◽  
Health Information ◽  
Information Seeking ◽  
Online Health Information ◽  
Health Information Seeking ◽  
Related Information ◽  
Health Related ◽  
Online Health Information Seeking ◽  
The Web

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 impact of parental online health seeking on offline health behaviors, this area of research remains understudied. Previous literature has not adequately distinguished searched behaviors when searching for oneself or one`s child. Objective The purpose of this review is to examine prevalences and associated variables of parent-child online health information seeking; investigate parents’ health-related online behavior regarding how they find, use, and evaluate information; and identify barriers and concerns that they experience during the search. Based on this analysis, we develop a conceptual model of potentially important variables of proxy online health information seeking, with a focus on building an agenda for further research. Methods We conducted a comprehensive systematic literature review of the PsycINFO, JMIR, and PubMed electronic databases. Studies between January 1994 and June 2018 were considered. The conceptual model was developed using an inductive mixed methods approach based on the investigated variables in the study sample. Results A total of 33 studies met the inclusion criteria. Findings suggest that parents worldwide are heavy online users of health-related information for their children across highly diverse circumstances. A total of 6 studies found high parental health anxiety, with prevalences ranging from 14% to 52%. Although parents reported wishing for more guidance from their pediatrician on how to find reliable information, they rarely discussed retrieved information from the web. The conceptual model of proxy online health information seeking includes 49 variables. Conclusions This systematic review identifies important gaps regarding the influence of health-related information on parents’ health behavior and outcomes. Follow-up studies are required to offer parents guidance on how to use the web for health purposes in an effective way, as well as solutions to the multifaceted problems during or after online health information seeking for their child. The conceptual model with the number of studies in each model category listed highlights how previous studies have hardly considered relational variables between the parent and child. An agenda for future research is presented.

An Empirical Note on Health Information Digital Divide

2017 ◽  
Vol 8 (2) ◽  
pp. 15-34 ◽  
Author(s):  
Ajeya Jha ◽  
Jaya Rani Pandey
Keyword(s):  
Discriminant Analysis ◽  
Digital Divide ◽  
Health Information ◽  
Information Search ◽  
Geographical Location ◽  
Family Type ◽  
Online Health Information ◽  
Chi Square ◽  
And Gender ◽  
E Mail

Availability of healthcare information on internet has made it possible for patients or their relatives to search for such information. This study was undertaken to find answers to such questions. In all 754 respondents participated in the survey. The variables selected from literature survey and exploratory study are Health Information Digital Divide, Income, Having E-mail id, access to internet, geographical location, Education, family-type, age and gender. As the data is categorical the significance of difference has been calculated using Chi-square test. Later discriminant analysis was conducted to predict patients who make online health information search and the ones who do not. The result show that Income, Having E-mail id, access to internet, geographical location, Education and gender are significant factors that determine the propensity of people for online healthcare search. Age and family-type, however, were found to have no impact on such a behavior. Using discriminant analysis 94.5 percent patients who make online health information search could be correctly predicted.

The Changing Nature of Health Information Dissemination through the Role of Social Media

2013 ◽  
Vol 411-414 ◽  
pp. 110-114 ◽  
Author(s):  
Dan Dumbrell ◽  
Robert Steele
Keyword(s):  
Social Media ◽  
Health Information ◽  
Information Dissemination ◽  
Online Health Information ◽  
Web Based ◽  
Related Information ◽  
Public Health Information ◽  
Health Related ◽  
Health Information Sources

Traditional forms of health information dissemination have previously involved a few key organizations originating health-related information and disseminating this to clinicians and the community. This information was typically disseminated via private, formalized and non-digital interactions between health information sources (HIS) and clinicians and consumers. With the introduction of the Internet, Web-based health information dissemination led to some changes with greater availability of online health information. However the recent adoption and uptake of social media has led to many more parties, both organizations of varying types, and individuals, participating in public health information dissemination; and this has also led to new forms of sharing health-related information, particularly involving a greater role for individuals. In this paper we introduce empirical findings in relation to how organizations and individuals are now using social media for sharing health information, and from this suggest themes to describe the changes from traditional to contemporary health information dissemination, as well as the new emerging roles and forms of interaction for health information dissemination.

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