Quantifying health literacy and eHealth literacy using existing instruments and browser-based software for tracking online health information seeking behavior

Quinn, Susan; Bond, Raymond; Nugent, Chris

doi:10.1016/j.chb.2016.12.032

Cited by 108 publications

(92 citation statements)

References 55 publications

(83 reference statements)

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“…Online health information is regularly updated [4]. Nowadays, universal and worldwide flow cannot be ignored [5] and search engines are the most effective method to find information [6]. The Internet is also a useful source for people in the medical field for discussions and interactions about medical issues [7].…”

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confidence: 99%

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Yasir

Ahmad

et al. 2020

IJERPH

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Although social presence plays an essential role under general conditions, its role becomes significant for societal protection during the quarantine period in epidemic outbreak. In this study, we attempted to identify the role of E-government and COVID-19 word of mouth in terms of their direct impact on online social presence during the outbreak as well as their impacts mediated by epidemic protection and attitudes toward epidemic outbreaks. For this purpose, a unique multi-mediation model is proposed to provide a new direction for research in the field of epidemic outbreaks and their control. Through random sampling, an online survey was conducted and data from 683participants were analyzed. Partial least squares structural equation modeling was used to test the relationships between the variables of interest. The study results revealed that the roles of E-government and COVID-19 word of mouth are positively related to online social presence during the outbreak. Epidemic protection and attitude toward epidemic outbreak were found to positively moderate the impact of the role of E-government and COVID-19 word of mouth on online social presence during the outbreak. The key findings of this study have both practical and academic implications. health protection. This phenomenon encouraged us to formulate a theoretical model based on social presence theory and the role of social media to help examine safety and participation in quarantine. The conceptual model is presented in Figure 1.Word of mouth can be defined as "the intention to share a certain story using one's own social media account" [2]. Many researchers proved that communication has more of an impact through social media with regards to different health issues, and message sharing was found to be the best predictor of emotive and passionate response [3]. Online health information is regularly updated [4]. Nowadays, universal and worldwide flow cannot be ignored [5] and search engines are the most effective method to find information [6]. The Internet is also a useful source for people in the medical field for discussions and interactions about medical issues [7]. A nine-year big data study showed that the use of computers projected emotive improvement [8]. From the health protection point of view, many factors were found to affect the dispersal of cancer information, including anxiety, courage, anticipation, and sharing of experience [9].A study proved that the gestation time of infection (corona virus) was assessed at about 2-14 days [7]. So, a research question was raised about protection during an epidemic outbreak. Social media campaigns with complete research frameworks with theoretical and statistical support for these time periods are essentially to protect society during emergencies. To address this need, our research model includes the factors that trigger safety campaigns and the main effects (direct) of direct relations and the association of mediators on online social presence.The literature shows that for different disease management programm...

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confidence: 99%

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Yasir

Ahmad

et al. 2020

IJERPH

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“…Ergo, it was likely that the level of educational attainment for these college students would be high, and consequently eHealth literacy levels would also be high [19].…”

Section: Discussionmentioning

confidence: 99%

The Effect of Age on Electronic Health Literacy: Mixed-Method Study (Preprint)

Hsu¹

2018

Preprint

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Background: The world's Internet penetration rate is increasing yearly; approximately 25% of the world's population are Internet users. In Asia, Taiwan has the fifth highest Internet usage and has an Internet penetration rate higher than the world average. eHealth literacy is the ability to read, understand, and utilize online health information. eHealth literacy is gaining attention worldwide.Objectives: This study uses "age" as a background variable, comparing the differences in eHealth literacy among college students and senior university students.To examine this issue further, this study also summarizes the college students' and senior university students' online health information experiences and performances.This study aims to explore the difference between eHealth literacy rates among college students and senior university students. It examined the differences in eHealth literacy among the senior university student (over age 55) and college students to gain an in-depth understanding of the differences that exist across age groups.Methods: A mixed method approach was used, including questionnaire surveys.College students (aged 18-22) and senior university students (aged 55-72) were investigated. A total of 208 respondents-65 (31.25%) college students and 143 (68.75%) senior university students-were interviewed.Results: There were significant differences in the overall eHealth literacy scores (t 207 = 2.98; P < .01) and the functional eHealth literacy dimension (t 207 = 12.17; P < .001).The findings showed gaps in eHealth literacy among the two groups . Most study participants believed that most online health information could be read and understood; however, they were doubtful when evaluating information quality. and noted that it was divided into subjective judgments and objective standards. College students preferred aesthetically pleasing health information, while senior university students focused on its promotion. Furthermore, the former often used websites for solving health problems, while the latter forwarded health information through communication software.Keywords: EHealth literacy, Generation gap, College students, Senior university students, Mixed methods IntroductionThe Internet usage rate has generally increased, and the issue of eHealth literacy has become apparent eHealth literacy is gaining an increasing amount of attention worldwide. Individuals 2 with eHealth literacy have better health capital and can further promote the overall health and competitiveness of the country. In 2017, the Taiwan Broadband Internet Usage Survey reported that 3,153 valid sample analysis results showed that individuals were used to having an Internet access rate of over 83%, of whom 84.7%agreed that "the use of the Internet has improved the quality of your life." However, 55.9% disagreed that "the use of the Internet can increase your trust in information"[1]. Thus, even if individuals possessed little knowledge of eHealth information, it was still possible for them to take appropriate action. Diffe...

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“…The popularity of the eHEALS is not without criticism. Though the original instrument showed high correlations with related concepts, more recent studies have indicated a weaker correlation between the eHEALS and Internet use (van der Vaart et al, 2011) and traditional health literacy (Quinn, Bond & Nugent, 2017). Paige et al (2018) also point out that the eHEALS is intended to reflect the Lily Model but the items in the instrument are not reflective of the model's competencies.…”

Section: F Health Literacymentioning

confidence: 99%

Measures of eHealth Literacy: Options for the Malaysian Population

Azlan

2019

JKMJC

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Health literacy is an important component to the self-management of one's health decisions. As information on the Internet becomes more easily accessible, individuals need to be properly equipped to seek and evaluate the health information available to them. Digital health literacy, or eHealth literacy, refers to an array of skills required to properly seek, access, understand and apply health information on the Internet. To date, a number of different models and instruments have been developed to measure eHealth literacy, including the eHealth Literacy Scale (eHEALS), the eHealth Literacy Framework (eHLF), the Digital Health Literacy Instrument (DHLI), the eHealth Literacy Questionnaire (eHLQ), the eHealth Literacy Assessment Toolkit (eHLA) and the Transactional eHealth Literacy Instrument (TeHLI). While some of these instruments rely on the individual's self-assessment of eHealth literacy, others also test for functional information, communication and technological competencies. This paper presents these different eHealth literacy instruments and how they have been applied in current research. The similarities and differences between the instruments are examined. The discussion concludes with a summary of the measures and potential ways forward in developing an eHealth Literacy instrument for the Malaysian population. It is hoped that this paper may benefit researchers, health care providers, practitioners, ministries and governing bodies interested in understanding eHealth literacy and its measures.

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Quantifying health literacy and eHealth literacy using existing instruments and browser-based software for tracking online health information seeking behavior

Cited by 108 publications

References 55 publications

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

Modeling Impact of Word of Mouth and E-Government on Online Social Presence during COVID-19 Outbreak: A Multi-Mediation Approach

The Effect of Age on Electronic Health Literacy: Mixed-Method Study (Preprint)

Measures of eHealth Literacy: Options for the Malaysian Population

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