Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Xia, Lidan; Deng, Shengli; Liu, Yirong

doi:10.1515/jdis-2017-0009

Cited by 11 publications

(22 citation statements)

References 29 publications

(21 reference statements)

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“…Therefore, they develop sovereignty as audiences in the long run and need lots of information from internal and external sources to make purchasing decisions (Utkarsh & Medhavi, 2015). Previous studies (e.g., Abrahamson, Fisher, Turner, Durrance, & Turner, 2008; Chu et al, 2017; Xia, Deng, & Liu, 2017; Zhao & Zhang, 2017) suggest that people with health self-identity intensify their interest and knowledge about health. Hence, we hypothesize that…”

Section: Hypothesis Developmentmentioning

confidence: 96%

Health Self-Identity–Based Motivations and Behavioral Intentions: A Predictive Model and Segmentation Analysis

Quaye

Mokgethi

Ameyibo

2021

Social Marketing Quarterly

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Background As lifestyle-related diseases increase globally, there is a need to focus on the mechanisms for promoting healthy living and healthy behavioral intentions. Focus of the article The present study investigates how health self-identity influences health consciousness, self-efficacy, consumer knowledge, and normative beliefs. Moreover, the study analyzes the moderating effect of consumer knowledge and normative beliefs on behavioral intentions to maintain a healthy lifestyle. A posthoc segmentation analysis through latent class analysis distinguishes two main segments of health-conscious individuals. Research questions The following research questions guide the study (1) how does health self-identity as a motivational factor influence (a) health consciousness, (b) self-efficacy, (c) consumer knowledge, and (d) normative beliefs and, in turn, account for healthy behavioral intentions? (2) How does consumer knowledge interact with normative beliefs to predict behavioral intentions to maintain a healthy lifestyle? Methods A correlational research design was employed for this study where an online survey of 249 South African audiences was recruited to participate in this study. Structural equation modeling (SEM) and latent class analysis through Mplus were used for data analysis. The interaction effect analysis was also performed using the latent moderated structural model approach, which employs the unique capabilities of SEM. Results The findings highlight the important role of health self-identity as a motivation base for maintaining health consciousness, self-efficacy beliefs, consumers’ knowledge about healthy living, and normative beliefs. Health consciousness and self-efficacy, in turn, influenced healthy behavioral intentions. Although consumer knowledge and normative beliefs independently did not impact healthy behavioral intentions, when both factors interact, the effect becomes significant, suggesting that levels of consumer knowledge about healthy living associate reasonably with the extent of susceptibility to normative influence in explaining healthy behavioral intentions. Two segments classified as moderately health-conscious, and pure health enthusiasts were identified based on six psychographic and two demographics variables. Recommendations for practice Social marketers interested in effecting positive change in healthy living should emphasize the role of health self-identities to generate health consciousness and encourage a sense of self-belief about people’s ability to make positive health choices. Moreover, communications seeking to promote healthy living among individuals should have campaigns highlighting the role of a knowledgeable audience about healthy living in social networks. Finally, social marketing campaigns may also focus on the extent of health consciousness, self-identity, and attitudes towards healthy living to encourage behavior change. Limitations The cross-sectional nature of the study does not warrant the establishment of causality of the influences examined in this study. Also, the sample size imposes limitations for generalizing the results to the entire population.

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Section: Hypothesis Developmentmentioning

confidence: 96%

Health Self-Identity–Based Motivations and Behavioral Intentions: A Predictive Model and Segmentation Analysis

Quaye

Mokgethi

Ameyibo

2021

Social Marketing Quarterly

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“…Users are also less likely to search through multiple pages of results if they are using a cell phone [12]. Time constraints and ease of use are two factors that highly impact users of health information in terms of both the tools that are chosen and how the searches are performed [17,18]. This is substantiated by the prevalence of short, overly broad searches, which lead to more results than a user will sift through [4].…”

Section: User Search Behaviors In Pubmedmentioning

confidence: 99%

Artificial intelligence behind the scenes: PubMed’s Best Match algorithm

Kiester

Turp

2022

jmla

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This article focuses on PubMed’s Best Match sorting algorithm, presenting a simplified explanation of how it operates and highlighting how artificial intelligence affects search results in ways that are not seen by users. We further discuss user search behaviors and the ethical implications of algorithms, specifically for health care practitioners. PubMed recently began using artificial intelligence to improve the sorting of search results using a Best Match option. In 2020, PubMed deployed this algorithm as the default search method, necessitating serious discussion around the ethics of this and similar algorithms, as users do not always know when an algorithm uses artificial intelligence, what artificial intelligence is, and how it may impact their everyday tasks. These implications resonate strongly in health care, in which the speed and relevancy of search results is crucial but does not negate the importance of a lack of bias in how those search results are selected or presented to the user. As a health care provider will not often venture past the first few results in search of a clinical decision, will Best Match help them find the answers they need more quickly? Or will the algorithm bias their results, leading to the potential suppression of more recent or relevant results?

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“…There is a difference on information access to regional health agencies, TV, radio, doctor, and magazines as information source during normal and crisis situation. Media use is also influenced by age where the youth use media to maintain relationships, get socialized, self -expression, show off, spend free time, and travelling or holiday [7]. Their study indicated that women would rather use Snapchat and Google+ while men use Facebook and Youtube.…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Media Use, Gratification Sought, and Information Needs by Tourists in Bali before, during, and after the Covid-19 Pandemic

Putra¹,

Widiantara²,

Putra³

et al. 2022

Proceedings of the International Conference on Applied Science and Technology on Social Science 2021 (iCAST-SS 2021)

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This study aims at exploring the media use, gratification sought, and information needs of tourists in Bali and whether there is any difference before, during, and after the Covid-19 pandemic. With accidental and purposive sampling, 115 tourists visiting four (4) Bali's main beaches answered the questionnaire and analyzed with Paired sample t-test, testing the hypothesis that there is a difference among media use, gratification sought, and information needs of tourists before, during, and after the pandemic. The result shows tourists mostly use whats app (group), Youtube, Instagram, and Facebook followed by electronic and print media. The main gratifications sought are spending free time, get Covid-19 information, and release tension from problems. Before the pandemic, information needed are prevention, while after the pandemic is vaccine effectiveness, and after pandemic is travel rules. After the pandemic, tourists require information on travel rules, vaccine effectiveness, prevention, and vaccine availability. The paired sample t-test indicates that a difference on media use, gratification sought, information needs of tourists before, during, and after the pandemic. Understanding tourists' media use, gratifications sought, and information needs are very important for Bali's government and private sectors for effective and efficient communication in relation to Covid-19 pandemic.

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Seeking Health Information Online: The Moderating Effects of Problematic Situations on User Intention

Cited by 11 publications

References 29 publications

Health Self-Identity–Based Motivations and Behavioral Intentions: A Predictive Model and Segmentation Analysis

Health Self-Identity–Based Motivations and Behavioral Intentions: A Predictive Model and Segmentation Analysis

Artificial intelligence behind the scenes: PubMed’s Best Match algorithm

An Analysis of Media Use, Gratification Sought, and Information Needs by Tourists in Bali before, during, and after the Covid-19 Pandemic

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