Generation Gaps in Digital Health Literacy and Their Impact on Health Information Seeking Behavior and Health Empowerment in Hungary

Associations between digital literacy, health literacy, and digital health behaviors among rural residents: evidence from Zhejiang, China

OBJECTIVE

Within the digital society, the limited proficiency in digital health behaviors among rural residents has emerged as a significant factor intensifying health disparities between urban and rural areas. Addressing this issue, enhancing the digital literacy and health literacy of rural residents stands out as a crucial strategy. This study aims to investigate the relationship between digital literacy, health literacy, and the digital health behaviors of rural residents.

METHODS

Initially, we developed measurement instruments aimed at assessing the levels of digital literacy and health literacy among rural residents. Subsequently, leveraging micro survey data, we conducted assessments on the digital literacy and health literacy of 968 residents in five administrative villages in Zhejiang Province, China. Building upon this foundation, we employed Probit and Poisson models to empirically scrutinize the influence of digital literacy, health literacy, and their interaction on the manifestation of digital health behaviors within the rural population. This analysis was conducted from a dual perspective, evaluating the participation of digital health behaviors among rural residents and the diversity to which they participate in such behaviors.

RESULTS

Digital literacy exhibited a notably positive influence on both the participation and diversity of digital health behaviors among rural residents. While health literacy did not emerge as a predictor for the occurrence of digital health behavior, it exerted a substantial positive impact on the diversity of digital health behaviors in the rural population. There were significant interaction effects between digital literacy and health literacy concerning the participation and diversity of digital health behaviors among rural residents. These findings remained robust even after implementing the instrumental variable method to address endogeneity issues. Furthermore, the outcomes of robust analysis and heterogeneity analysis further fortify the steadfastness of the aforementioned conclusions.

CONCLUSION

The findings suggest that policymakers should implement targeted measures aimed at enhancing digital literacy and health literacy among rural residents. This approach is crucial for improving rural residents' access to digital health services, thereby mitigating urban-rural health inequality.

Digital resilience in Chinese adolescents: a portrayal of the current condition, influencing factors, and improvement strategies

Inroduction

Digital resilience is an important skill for adolescents in the digital age, but there is a lack of valid and reliable assessment methods. This study aimed to develop and validate a digital resilience questionnaire for Chinese adolescents based on the Digital Resilience Framework proposed by the UK Children's Internet Safety Council.

Methods

This study employed a mixed research design, combining quantitative and qualitative data collected and analyzed. Over a six-month period (January to June 2023), a questionnaire was distributed to 12,208 adolescents from 10 high schools and 16 middle schools, with in-depth interviews performed with 10 of the participants.

Results

The study revealed that Chinese adolescents digital resilience levels are slightly higher than average (M = 3.5038 > 3.5), but there is still potential for development, particularly in active learning. Additionally, a variety of characteristics influencing adolescents digital resilience were discovered, including gender, family residency, whether they are only children, grade level, the number of digital devices used per week, and the length of hours spent online daily.

Discussion

This study developed and verified a digital resilience questionnaire for Chinese adolescents, which may be used to assess and improve their digital skills and well-being in the digital age. The study also identified various variables and themes that influence digital resilience, which can be used to navigate educational initiatives and policy. However, this study's shortcomings included a cross-sectional design, self-reported data, and cultural distinctiveness. Future research could address these limitations by undertaking a longitudinal study, utilizing numerous data sources, and contrasting different cultural contexts.

The impact of internet health information usage habits on older adults' e-health literacy

Objective

As the demand and supply sides of popular health services increasingly rely on the Internet, mastering e-health literacy should become an essential skill for older adults. The aim of this article is to analyse the effects of Internet health information usage habits on older adults' e- health literacy and to investigate the influencing mechanisms.

Methods

Using a combination of random sampling and convenient sampling, data were collected through questionnaire surveys. Data from 776 older adults was analysed using correlation and hierarchical regression to analyse.

Results

The mean scores for all aspects of older adults' habits of using health information on the Internet and electronic health literacy were relatively high. There was no statistically significant difference in the predictive power of the three aspects of electronic health literacy among older adults with different genders, health statuses, education levels and ages (p > 0.05). The four factors of older adults' habits of using Internet health information can increase the explanatory power of application ability, judgment ability and decision-making ability in Model 2 by 53.7%, 46.2% and 57%, respectively, with statistical significance (p < 0.001).

Conclusion

The better the habits of older adults in using health information on the Internet, the higher their level of electronic health literacy. Families, communities and social groups should help older adults use online health resources to improve their e-health literacy. Older adults can use WeChat or other interpersonal information platforms to share online health information with each other.

Research into the relationship between digital health literacy and healthy lifestyle behaviors: an intergenerational comparison

Introduction

Digital health literacy wields a pivotal role in individuals' health status in terms of seeking and choosing appropriate and accurate information, and useful services from a vast array of choices. This study is aimed at assessing the validity and reliability of the Turkish version of Digital Health Literacy Instrument (DHLI) and examining the relationship between DHL and the healthy lifestyle behaviors of participants from X, Y, and Z generations.

Methods

In this study, to conduct a cross-sectional web-based survey, an online self-report questionnaire was built, and a convenience sample with a snowball approach was used. The study was conducted among 1,274 respondents aged between 18 and 64 years. Data collection tools consisted of the Personal Information Form, Lifestyle Behavior Scale II (HLBS II), and DHLI. Cultural validation and psychometric testing of DHLI, exploratory factor analysis, confirmatory factor analysis, Cronbach's alpha test, and bivariate and multivariate regression analysis were used for statistical analysis.

Results

In the study, the Turkish version of the DHLI tool consisting of six dimensions proved to be valid and reliable, and deemed appropriate for use across all age groups. The average digital health literacy of the respondents was sufficient, but the mean of healthy lifestyle behavior scores was moderate. There was a positive significant relationship between the total mean scores of DHLI and HLBS. Among the subdimensions of DHLI, while the highest mean scores were in DHLI Reliability, DHLI Privacy, and DHLI Search, DHLI Navigation and DHLI Relevance showed the lowest mean scores. DHLI Reliability, DHLI Relevance, and DHLI Adding Content were statistically significant predictors of health-related behaviors of the respondents.

Conclusion

The most important feature and novelty of this study is that, although the DHLI scale has been widely translated for use in many countries, it has been translated and adapted to Turkish for the first time herein. The study offers crucial evidence about Generation X, Y, and Z's DHL level and its positive relationships with health-related behaviors. Therefore, the community and its partners should lead the way in empowering individuals to understand and use online information in an effective, secure, and health-promoting manner, along with governments.

Predicting and Empowering Health for Generation Z by Comparing Health Information Seeking and Digital Health Literacy: Cross-Sectional Questionnaire Study

BACKGROUND

Generation Z (born 1995-2010) members are digital residents who use technology and the internet more frequently than any previous generation to learn about their health. They are increasingly moving away from conventional methods of seeking health information as technology advances quickly and becomes more widely available, resulting in a more digitalized health care system. Similar to all groups, Generation Z has specific health care requirements and preferences, and their use of technology influences how they look for health information. However, they have often been overlooked in scholarly research.

OBJECTIVE

First, we aimed to identify the information-seeking preferences of older individuals and Generation Z (those between the ages of 18 and 26 years); second, we aimed to predict the effects of digital health literacy and health empowerment in both groups. We also aimed to identify factors that impact how both groups engage in digital health and remain in control of their own health.

METHODS

The Health Information National Trends Survey was adopted for further use in 2022. We analyzed 1862 valid data points by conducting a survey among Chinese respondents to address the research gap. A descriptive analysis, 2-tailed t test, and multiple linear regression were applied to the results.

RESULTS

When compared with previous generations, Generation Z respondents (995/1862, 53.44%) were more likely to use the internet to find out about health-related topics, whereas earlier generations relied more on traditional media and interpersonal contact. Web-based information-seeking behavior is predicted by digital health literacy (Generation Z: β=.192, P<.001; older population: β=.337, P<.001). While this was happening, only seeking health information from physicians positively predicted health empowerment (Generation Z: β=.070, P=.002; older population: β=.089, P<.001). Despite more frequent use of the internet to learn about their health, Generation Z showed lower levels of health empowerment and less desire to look for health information, overall.

CONCLUSIONS

This study examined and compared the health information-seeking behaviors of Generation Z and older individuals to improve their digital health literacy and health empowerment. The 2 groups demonstrated distinct preferences regarding their choice of information sources. Health empowerment and digital health literacy were both significantly related to information-seeking behaviors.

Digital literacy as a new determinant of health: A scoping review

INTRODUCTION

Harnessing new digital technologies can improve access to health care but can also widen the health divide for those with poor digital literacy. This scoping review aims to assess the current situation of low digital health literacy in terms of its definition, reach, impact on health and interventions for its mitigation.

METHODS

A comprehensive literature search strategy was composed by a qualified medical librarian. Literature databases [Medline (Ovid), Embase (Ovid), Scopus, and Google Scholar] were queried using appropriate natural language and controlled vocabulary terms along with hand-searching and citation chaining. We focused on recent and highly cited references published in English. Reviews were excluded. This scoping review was conducted following the methodological framework of Arksey and O'Malley.

RESULTS

A total of 268 articles were identified (263 from the initial search and 5 more added from the references of the original papers), 53 of which were finally selected for full text analysis. Digital health literacy is the most frequently used descriptor to refer to the ability to find and use health information with the goal of addressing or solving a health problem using technology. The most utilized tool to assess digital health literacy is the eHealth literacy scale (eHEALS), a self-reported measurement tool that evaluates six core dimensions and is available in various languages. Individuals with higher digital health literacy scores have better self-management and participation in their own medical decisions, mental and psychological state and quality of life. Effective interventions addressing poor digital health literacy included education/training and social support.

CONCLUSIONS

Although there is interest in the study and impact of poor digital health literacy, there is still a long way to go to improve measurement tools and find effective interventions to reduce the digital health divide.

Investigation of the relationship of general and digital health literacy with various health-related outcomes

Background

Despite the growing number of health literacy surveys, we know little about the combined effect of the different dimensions of health literacy on various health-related outcomes.

Objective

Thus, our study aimed to examine the impacts of general and digital health literacy on health behaviour, confidence in vaccination, self-perceived health, and health care utilization.

Methods

Our research was part of the Health Literacy Population Survey 2019-2021, which was an international, multicentre, cross-sectional study. The data were collected via computer-assisted telephone interview in December 2020 in Hungary. Multiple multinomial logistic and multivariate linear regression models were used to analyse the separately effects of general and digital health literacy on the studied outcomes. Moreover, the combined effect of general and digital health literacy was also analysed via sensitivity analyses. In the last step, the interactions between general and digital health literacy were examined using the Johnson-Neyman procedure.

Results

The results did not reveal any associations between health literacy and health behaviour. Health care use was only affected by digital health literacy; however, this effect was inconsistent. Both dimensions of health literacy were positively associated with self-perceived health and vaccination confidence.

Conclusion

Our results suggest that increasing health literacy could promote health and vaccination confidence, while the potential effect of higher digital health literacy on more conscious use of the health care system should be investigated further.

Behavior patterns and influencing factors: Health information acquisition behavior of Chinese senior adults on WeChat

Due to the gradual adoption of WeChat by older adults in China and their interest in health information, Chinese older people started to acquire health information through WeChat. We explored the specific patterns and influencing factors of the elderly's health information acquisition behavior senior adults. The cross-sectional study collected self-reported data with survey (N = 336) in the southeast of China, Zhejiang province. The findings of this study extend the previous research by suggesting that elderly adults' health information acquisition behavior has three patterns (actively seeking, passively browsing, and long-term collecting). These findings contribute to a better understanding of digital literacy, three dimensions of health literacy and their relationship with three specific patterns of health acquisition behavior. This study also provides practical insights related to narrow the technological gap of the older adults, improve their e-Health literacy of the elderly, and purify the health information environment in the network.

Social Media Use Among Members of the Assessment of Spondyloarthritis International Society: Results of a Web-Based Survey

BACKGROUND

The use of social media in health care may serve as a beneficial tool for education, information dissemination, telemedicine, research, networking, and communications. To better leverage the benefits of social media, it is imperative to understand the patterns of its use and potential barriers to its implementation in health care. A previous study in 2016 that investigated social media use among young clinical rheumatologists (≤45 years) and basic scientists showed that there was substantial social media use among them for social and professional reasons. However, there is a limited inquiry into social media use in different areas of rheumatology, such as spondyloarthritis.

OBJECTIVE

We aimed to explore the motivations, barriers, and patterns of social media use among an international group of experts in spondyloarthritis.

METHODS

We distributed a web-based survey via email from March 2021 to June 2021 to 198 members of the Assessment of Spondyloarthritis International Society. It contained 24 questions about demographic characteristics, patterns of current social media use, and perceptions of utility. Univariable and multivariable logistic regression analyses were performed to identify the characteristics associated with use trends.

RESULTS

The response rate was 78.8% (156/198). Of these, 93.6% (146/156) of participants used at least one social media platform. Apart from internet-based shopping and entertainment, the use of social media for clinical updates (odds ratio [OR] 6.25, 95% CI 2.43-16.03) and research updates (OR 3.45, 95% CI 1.35-8.78) were associated with higher social media consumption. Among the respondents, 66% (103/156) used social media in a work-related manner. The use of social media for new web-based resources (OR 6.55, 95% CI 2.01-21.37), interaction with international colleagues (OR 4.66, 95% CI 1.21-17.90), and establishing a web-based presence (OR 4.05, 95% CI 1.25-13.13) were associated with higher levels of consumption for work-related purposes. Time investment, confidentiality concerns, and security concerns were the top 3 challenges to a wider adoption of social media.

CONCLUSIONS

Most respondents (103/156, 66%) use social media in a work-related manner. Professional development, establishing a web-based presence, and international collaboration were associated with higher use. Challenges to social media adoption should be addressed to maximize its benefits.

Trend Analysis of Global Web Searches (2004–2022) on Oral Cancer and Its Major Risk Factors

Background Oral cancer is the 15th leading cause of mortality globally. The Internet is an online source of information pertaining to oral cancer and its major risk factors. This study aims to analyze the trend of global online interest on oral cancer and its major risk factors through an analysis of web searches of oral cancer.

Materials and Methods This study analyzed the web searches conducted, from 2004 to January 2022, on oral cancer and its major risk factors (tobacco use, harmful alcohol use, and human papillomavirus [HPV] infection) using data obtained from Google Trends.

Results Within the time frame under study, oral cancer had multiple peak search periods, with the highest relative search volume index (SVI) for a period being 1; the peak search period for alcohol was March 2020 (SVI = 100); the peak search periods for tobacco were March to April 2004 (SVI = 17); and the peak search period of HPV was April 2004 (SVI = 1). Globally, alcohol was the most common searched term among these four terms (oral cancer, alcohol, tobacco, and HPV) except in Turkey where tobacco was the most common (55%) searched term. The top 25 search queries for oral cancer, HPV, tobacco, and alcohol had SVI ranges of 22 to 100, 12 to 100, 28 to 100, and 18 to 100, respectively. From these search queries, it was observed that people have interest in oral cancer symptomatology, and the adverse effects of tobacco, alcohol, and HPV.

Conclusion This study revealed an overall decline in the online interest on oral cancer and its major risk factors on a global scale.

[Expectations of generation Y for digital health innovations]

BACKGROUND AND AIM

"Generation Y" is the term used to describe younger adults born between approximately 1980 and 2000. The generation is attributed with being digitally savvy and technically adept. It can thus be assumed that there is an increased desire among these people to use digital healthcare innovations when needed. However, the exact expectations in this regard are largely unknown. The aim of this study is to examine the expectations and needs of Generation Y in more detail.

MATERIALS AND METHODS

For data collection, five focus group interviews were conducted in April 2021, each with six people between 23 and 36 years of age, with three people per group working in the health sector. The interview material was analyzed using content analysis according to Mayring.

RESULTS

One of the expectations among respondents was to use low-threshold digital healthcare innovations. There was also a great demand for health information. The focus was on increasing efficiency in everyday life, in particular a reduction in the amount of time required. Influences of the corona pandemic on expectations were observed.

DISCUSSION

Three functions of digital applications emerge as particularly relevant: "administration," "tracking," and "information." For these, preference profiles of Generation Y were created. Customized solutions offered by digital innovations could help to implement target-group-specific health promotion and prevention more concretely and generate added value for Generation Y. Since the everyday life of the target group is already characterized by digitization and digital innovations, there is great potential here.

Research progress on digital health literacy of older adults: A scoping review

With the rapid development of digital health today, the lack of digital health literacy in older adults is an urgent problem. It is crucial that older adults adapt to the digital reform in medical treatment, pension, health management, and other fields. Therefore, we reviewed the current development status of digital health literacy among older adults. A total of 47 articles were included in this scoping review. Our findings revealed that research on digital health literacy in older adults is still in its infancy. Further development is warranted especially in terms of assessment tools and intervention methods.

Impacts of the Internet on Health Inequality and Healthcare Access: A Cross-Country Study

Access to information and resources through the Internet has become an increasingly critical aspect of contemporary life. Based on the WHO Health Equity Assessment Toolkit (HEAT) and cross-country panel data, this paper investigates the effect of Internet access on health inequality across different income groups. The results indicate that access to the Internet significantly improves the average health condition and alleviates health inequality. In addition, employing cross-country data from the Global Burden of Disease (GBD) database, this paper further examines the social and economic determinants of access to healthcare. Specifically, it is found that Internet access significantly facilitates healthcare access and mitigates the negative impact of income inequality on healthcare access. Considered together, these findings shed light on the importance of the Internet in reducing health inequality and improving healthcare access.