The Relation Between eHealth Literacy and Health-Related Behaviors: Systematic Review and Meta-analysis

Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study

BACKGROUND

In the current digital era, eHealth literacy plays an indispensable role in health care and self-management among older adults with noncommunicable diseases (NCDs). Measuring eHealth literacy appropriately and accurately ensures the successful implementation and evaluation of pertinent research and interventions. However, existing eHealth literacy measures focus mainly on individuals' abilities of accessing and comprehending eHealth information (Web1.0), whereas the capabilities for web-based interaction (Web2.0) and using eHealth information (Web3.0) have not been adequately evaluated.

OBJECTIVE

This study aimed to examine the reliability, validity, and measurement invariance of the eHealth Literacy Scale-Web3.0 (eHLS-Web3.0) among older adults with NCDs.

METHODS

A total of 642 Chinese older adults with NCDs (mean age 65.78, SD 3.91 years; 55.8% female) were recruited in the baseline assessment, of whom 134 (mean age 65.63, SD 3.99 years; 58.2% female) completed the 1-month follow-up assessment. Baseline measures included the Chinese version of the 24-item 3D eHLS-Web3.0, the Chinese version of the 8-item unidimensional eHealth Literacy Scale (eHEALS), and demographic information. Follow-up measures included the 24-item eHLS-Web3.0 and accelerometer-measured physical activity and sedentary behavior. A series of statistical analyses, for example, Cronbach α, composite reliability coefficient (CR), confirmatory factor analysis (CFA), and multigroup CFA, were performed to examine the internal consistency and test-retest reliabilities, as well as the construct, concurrent, convergent, discriminant, and predictive validities, and the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence.

RESULTS

Cronbach α and CR were within acceptable ranges of 0.89-0.94 and 0.90-0.97, respectively, indicating adequate internal consistency of the eHLS-Web3.0 and its subscales. The eHLS-Web3.0 also demonstrated cross-time stability, with baseline and follow-up measures showing a significant intraclass correlation of 0.81-0.91. The construct validity of the 3D structure model of the eHLS-Web3.0 was supported by confirmatory factor analyses. The eHLS-Web3.0 exhibited convergent validity with an average variance extracted value of 0.58 and a CR value of 0.97. Discriminant validity was supported by CFA results for a proposed 4-factor model integrating the 3 eHLS-Web3.0 subscales and eHEALS. The predictive validity of the eHLS-Web3.0 for health behaviors was supported by significant associations of the eHLS-Web3.0 with light physical activity (β=.36, P=.004), moderate to vigorous physical activity (β=.49, P<.001), and sedentary behavior (β=-.26, P=.002). Finally, the measurement invariance of the eHLS-Web3.0 across gender, education level, and residence was supported by the establishment of configural, metric, strong, and strict invariances.

CONCLUSIONS

The present study provides timely empirical evidence on the reliability, validity, and measurement invariance of the eHLS-Web3.0, suggesting that the 24-item 3D eHLS-Web3.0 is an appropriate and valid tool for measuring eHealth literacy among older adults with NCDs within the Web3.0 sphere.

Meta-analysis: eHealth literacy and attitudes towards internet/computer technology

OBJECTIVE

To explore the relationship between eHealth literacy and attitudes towards internet/computer (I/C) technology use in healthcare.

METHODS

Analysis of data from 16 cross-sectional studies, involving literature search from databases like PubMed, EBSCO, JMIR, up to April 2023. Studies were selected based on a quantitative cross-sectional design, with no restrictions on participant characteristics.

RESULTS

A significant positive correlation (0.36; 95% CI 0.37-0.38, p < 0.05) was found between eHealth literacy and positive attitudes towards I/C technology use. Age and regional differences, especially in participants over 50 and from Asian and Middle Eastern countries, were notable.

CONCLUSION

Lower eHealth literacy is associated with more negative attitudes towards I/C technology in healthcare. This trend is consistent across diverse demographics and regions.

The Digital Health Revolution: Exploring the Impact of Online Cancer Information on Self-Reported Preventive Behaviors

Cancer, one of the leading causes of death worldwide, is a disease characterized by uncontrolled cell growth within the body. While there have been many improvements in the treatment of cancer clinically, there is now an urgent need to improve cancer-related communication. This study explores the impact of online health information, specifically cancer-related information and prevention, among members of the general public. Through a randomized survey, we examined what information leads people to take action to minimize their cancer risk and communicate with their providers. Through evaluation of the various modes of communication, we were able to provide insight into which are more effective and better received by members of the general public. Through this, ways of bettering these avenues of communication and strengthening the bond between them will be highlighted and more easily elaborated on by future studies. The results of our study indicated that 60% of participants asserted that they are motivated by online preventive information to take steps to limit their cancer risk, while only roughly 44% of participants overall agreed that their doctor has communicated with them about when proper cancer screenings should be scheduled for the future. Although patients may be turning to the Internet now more than ever due to various reasons, when comparing self-reported rates of comprehension among the study participants, 35% agreed that the cancer-related information they can access online is confusing, while fewer than 22% of participants agreed that the cancer-related information they receive directly from their doctor is confusing. This is indicative of the limitations the Internet may have when undertaking the role of being a medical resource, especially when acting as a replacement for in-person medical appointments where patients can communicate directly with their physicians. Ultimately, these results provide a unique perspective into how people receive, evaluate, and implement cancer-preventive steps and general health-related information in a post-COVID-19 world, where the Internet is now strongly embedded in healthcare.

Internet-based breastfeeding peer support for breastfeeding parents: An integrative review

AIM

To explore what Internet-based breastfeeding peer support offers to breastfeeding parents.

DESIGN

Integrative review.

DATA SOURCES AND REVIEW METHODS

A systematic literature search was conducted in March 2024 using the following electronic databases: CINAHL, The Cochrane Library, PubMed/MEDLINE and PsycINFO. Database searches yielded 717 results. Two researchers removed the duplicates (n = 256) and screened the remaining titles (n = 461), abstracts (n = 197) and full texts (n = 60) independently. Eventually, 19 studies were included in the review. The chosen studies had qualitative (n = 11), quantitative (n = 6), or mixed methods designs (n = 2) and were published between 2015 and 2024. Qualitative content analysis was conducted.

RESULTS

The main categories were supplying support that is responsive to the needs of parents and belonging to a breastfeeding community. The parents looked for and received breastfeeding support, advice, information, emotional support, reassurance and access to shared experiences from various online breastfeeding peer support groups. The support groups helped them in their breastfeeding decisions, thus making a difference in their breastfeeding experience. The support groups created breastfeeding communities for these parents and they were able to bond with others, feel like they belonged and share experiences. Additionally, these breastfeeding communities helped to normalize various breastfeeding practices.

CONCLUSION

Breastfeeding peer support groups can offer parents the support and guidance they seek and a sense that they are part of a breastfeeding community. However, it is vital these groups are efficiently moderated to ensure the advice parents receive is evidence-based and the support is encouraging.

IMPACT

These findings show that well-moderated online breastfeeding peer support can offer parents high-quality support. It is essential for health care professionals to be aware of the various options available in order to recommend high-quality support groups for breastfeeding parents.

REPORTING METHOD

PRISMA.

PATIENT OR PUBLIC CONTRIBUTION

This was an integrative review therefore no patient or public contribution was necessary.

Associations of eHealth Literacy with Social Activity among Community-Dwelling Older Adults: A Cross-Sectional Study

Older adults who use digital technology are desired to adapt to digitalization and literacy. One required aspect is eHealth literacy, measured with the eHealth Literacy Scale (eHEALS). Many studies on eHealth literacy have used the eHEALS to examine the health behaviors of college students, relatively younger adults, and Internet users. However, the relevance of eHealth literacy to social activity has not yet been studied in older adults. The purposes of this study were to examine the relationship between eHealth literacy and health behaviors and social activities (community, cultural, and sports activities) and to investigate the factors associated with eHEALS scores among community-dwelling older adults. The mean eHEALS score was 12.4 points (SD 8.2), with the majority (73.3%) having the lowest score (the lowest score is 8 points). Males (17.6, SD 10.5) scored significantly higher than females (11.8, SD 7.7). The eHEALS score had a significant relationship with both cultural and community activity. Five factors significantly associated with having the lowest eHEALS score were cultural activity at least once a week, no cultural activity, no community activity, total IADL score, and intellectual activity. These results suggest that eHealth literacy is associated with community activity and cultural activity among older adults.

Digital health literacy among the ageing population: A comparative cross-sectional study between rural and urban Telangana, India

Background

Digital health literacy (DHL) is the confluence where health literacy meets digital literacy. DHL has been labelled as one of the digital determinants of health by the World Health Organization. The present study estimated and compared the DHL between Telangana's urban and rural ageing adults, and their potential determinants.

Methods

A cross-sectional study was undertaken among 318 of the ageing individuals (≥45 years) of Hyderabad, visiting the primary health centres in the rural and urban field practice during March 2023. A Telugu version of the eHealth literacy scale (eHEALS) and health literacy scale tools were administered by the interviewers. Adjusted analysis was conducted by multiple linear regression method.

Results

Overall, 20.4% of the study participants had good DHL, with a similar proportion between rural and urban areas (rural-20.1% and urban-20.8%, p value-0.889). The median eHealth literacy score among the study participants was 8. While 36.5% and 45.9% had smartphones and standard analogue phones, respectively in urban areas, only 19.5% and 38.4% had smartphones and standard analogue phones, respectively in rural areas. Computer usage in the past month, higher educational qualification, and ownership of mobile phones were significant determinants of DHL. A mild but significant correlation between DHL and health literacy screening scores was found.

Conclusion

Considering the low DHL among the ageing population, enabling environment with enhanced access to mobile phones/smartphones and familiarity with information and communication technology gadgets must be established to improve their DHL.

"I Saw it Incidentally but Frequently": Exploring the Effects of Online Health Information Scanning on Lung Cancer Screening Behaviors Among Chinese Smokers

In China, lung cancer is the most common cancer with high mortality. While prior research suggests that health information scanning influences cancer screening within the general population, a deeper exploration of the underlying mechanisms is imperative. This study specifically targets smokers, aiming to investigate whether online health information scanning can effectively encourage lung cancer screening and elucidate the mechanisms driving this association. Data were extracted from a Chinese national survey conducted between January and September 2023, exclusively involving current smokers (N = 992). A moderated mediation model was employed to examine a cognitive-affective sequential chain of mediation through risk perceptions and cancer worry. Results showed that 99.1% of Chinese smokers reported online health information scanning, which possessed significant influence. Online health information scanning was positively associated with effective lung cancer screening among smokers directly (OR = 1.927, p < .01) and indirectly (OR = .065, p < .001). The perceived threat of smoking and cancer worry served as the cognitive and affective mediating mechanisms. Furthermore, a moderating effect of eHealth literacy was observed (OR = 6.292, p < .05). Smokers with higher eHealth literacy are more inclined to undergo effective lung cancer screening. Based on these findings, public health sectors should leverage online platforms to disseminate tailored cancer screening education and implement initiatives to enhance public eHealth literacy.

Assessing Electronic Health Literacy in Individuals With the Post-COVID-19 Condition Using the German Revised eHealth Literacy Scale: Validation Study

BACKGROUND

The eHealth Literacy Scale (eHEALS) is a widely used instrument for measuring eHealth literacy (eHL). However, little is known so far about whether the instrument is valid for the assessment of eHL in persons who are affected by the post-COVID-19 condition. This is particularly important as people with the post-COVID-19 condition are frequently affected by false information from the internet.

OBJECTIVE

The objective of our study was to evaluate the validity and reliability of the German Revised eHealth Literacy Scale (GR-eHEALS) in individuals with the post-COVID-19 condition.

METHODS

A cross-sectional study was conducted from January to May 2022. The self-assessment survey consisted of the GR-eHEALS, health status- and internet use-related variables, sociodemographic data, and (post)-COVID-19-related medical data. Confirmatory factor analysis (CFA), correlational analyses, and tests of measurement invariance were deployed.

RESULTS

In total, 330 participants were included in the statistical analyses. CFA revealed that the 2-factor model reached an excellent model fit (comparative fit index=1.00, Tucker-Lewis index=0.99, root mean square error of approximation=0.036, standardized root mean square residual=0.038). Convergent validity was confirmed by significant positive correlations between eHL and knowledge of internet-based health promotion programs, experience in using these programs, and the duration of private internet use. In addition, a significantly negative relationship of eHL with internet anxiety supported convergent validity. Further, significant relationships of eHL with mental health status and internal health locus of control confirmed the criterion validity of the instrument. However, relationships of eHL with physical health status and quality of life could not be confirmed. The 2-factor model was fully measurement invariant regarding gender. Regarding age and educational level, partial measurement invariance was confirmed. The subscales as well as the overall GR-eHEALS reached good-to-excellent reliability (Cronbach α≥.86).

CONCLUSIONS

The GR-eHEALS is a reliable and largely valid instrument for assessing eHL in individuals with the post-COVID-19 condition. Measurement invariance regarding gender was fully confirmed and allows the interpretation of group differences. Regarding age and educational level, group differences should be interpreted with caution. Given the high likelihood that individuals with the post-COVID-19 condition will be confronted with misinformation on the Internet, eHL is a core competency that is highly relevant in this context, in both research and clinical practice. Therefore, future research should also explore alternative instruments to capture eHL to overcome shortcomings in the validity of the GR-eHEALS.

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.

Factors Associated with the e-Health Literacy Among Older Adults with Chronic Obstructive Pulmonary Disease: A Cross-Sectional Study

Background: The telemanagement model in chronic diseases needs older patients to have a certain level of e-Health literacy. According to Electronic Health Literacy model, factors associated with the e-Health literacy among older patients could be comprehensively investigated from individual, situational, and environmental aspects. Objectives: To investigate the e-Health literacy levels among older patients with chronic obstructive pulmonary disease (COPD) and explore associated factors. Methods: A cross-sectional study was conducted among older patients with COPD. The e-Health Literacy Scale was used to measure individuals' e-Health literacy. The multiple linear regression was applied to identify factors associated with e-Health literacy. Results: A total of 230 responses were included in the final analysis. The average score of e-Health literacy for older COPD patients was 24.66 (6.86). After adjusting the model, the results of multiple linear regression demonstrated that aging attitudes (B = 0.067, p < 0.001), technophobia (B = -0.285, p < 0.001), and self-efficacy (B = 0.431, p < 0.001) accounted for 68.3% (p < 0.001) of the total variation in e-Health literacy. Conclusion: This study identifies significant correlations of technophobia, aging attitudes, and self-efficacy, respectively, with e-Health literacy, and self-efficacy and technophobia may be constant predictive factors of e-Health literacy. In the future, intervention research on e-Health literacy should be conducted from a social psychology perspective, with particular emphasis on addressing negative aging attitudes and technophobia. That will promote the tele-management model of chronic diseases. Trial Registration: Chinese Clinical Trial Registry (ChiCTR): ChiCTR1900028563; http://apps.who.int/trialsearch/default.aspx.

The relation between eHealth literacy and healthy lifestyle behaviours in pregnant women

The aim of this study was to determine the relationship between eHealth literacy and healthy lifestyle behaviours among pregnant women. This cross-sectional study was conducted in five family health centres in a city in the western part of Turkey. The study sample consisted of 201 pregnant women who were admitted to the five family health centres between September and December 2022. A socio-demographic questionnaire, the eHealth Literacy Scale and the Healthy Lifestyle Behaviours in Pregnancy Scale were used to collect data. Multiple linear regression analysis was used to explore predictors of health-promoting behaviours. The mean score of the eHealth Literacy Scale was 29.37 ± 6.20. The mean score of the Healthy Lifestyle Behaviours Scale was 119.69 ± 13.58. Multiple linear regression showed that predictors of healthy lifestyle behaviours among pregnant women were eHealth literacy, using internet to access health information and gestational age. eHealth literacy was found to be an important factor affecting the healthy lifestyle behaviours of pregnant women. This study highlights the importance of considering pregnant women's eHealth literacy in interventions aimed at improving healthy lifestyle behaviours.

The Role of Artificial Intelligence in Endocrine Management: Assessing ChatGPT's Responses to Prolactinoma Queries

This research investigates the utility of Chat Generative Pre-trained Transformer (ChatGPT) in addressing patient inquiries related to hyperprolactinemia and prolactinoma. A set of 46 commonly asked questions from patients with prolactinoma were presented to ChatGPT and responses were evaluated for accuracy with a 6-point Likert scale (1: completely inaccurate to 6: completely accurate) and adequacy with a 5-point Likert scale (1: completely inadequate to 5: completely adequate). Two independent endocrinologists assessed the responses, based on international guidelines. Questions were categorized into groups including general information, diagnostic process, treatment process, follow-up, and pregnancy period. The median accuracy score was 6.0 (IQR, 5.4-6.0), and the adequacy score was 4.5 (IQR, 3.5-5.0). The lowest accuracy and adequacy score assigned by both evaluators was two. Significant agreement was observed between the evaluators, demonstrated by a weighted κ of 0.68 (p = 0.08) for accuracy and a κ of 0.66 (p = 0.04) for adequacy. The Kruskal-Wallis tests revealed statistically significant differences among the groups for accuracy (p = 0.005) and adequacy (p = 0.023). The pregnancy period group had the lowest accuracy score and both pregnancy period and follow-up groups had the lowest adequacy score. In conclusion, ChatGPT demonstrated commendable responses in addressing prolactinoma queries; however, certain limitations were observed, particularly in providing accurate information related to the pregnancy period, emphasizing the need for refining its capabilities in medical contexts.

Artificial intelligence-based video monitoring of movement disorders in the elderly: a review on current and future landscapes

ABSTRACT

Due to global ageing, the burden of chronic movement and neurological disorders (Parkinson's disease and essential tremor) is rapidly increasing. Current diagnosis and monitoring of these disorders rely largely on face-to-face assessments utilising clinical rating scales, which are semi-subjective and time-consuming. To address these challenges, the utilisation of artificial intelligence (AI) has emerged. This review explores the advantages and challenges associated with using AI-driven video monitoring to care for elderly patients with movement disorders. The AI-based video monitoring systems offer improved efficiency and objectivity in remote patient monitoring, enabling real-time analysis of data, more uniform outcomes and augmented support for clinical trials. However, challenges, such as video quality, privacy compliance and noisy training labels, during development need to be addressed. Ultimately, the advancement of video monitoring for movement disorders is expected to evolve towards discreet, home-based evaluations during routine daily activities. This progression must incorporate data security, ethical considerations and adherence to regulatory standards.

Prevalence and Correlates of Dietary and Nutrition Information Seeking Through Various Web-Based and Offline Media Sources Among Japanese Adults: Web-Based Cross-Sectional Study

BACKGROUND

The advent of the internet has changed the landscape of available nutrition information. However, little is known about people's information-seeking behavior toward healthy eating and its potential consequences.

OBJECTIVE

We aimed to examine the prevalence and correlates of nutrition information seeking from various web-based and offline media sources.

METHODS

This cross-sectional study included 5998 Japanese adults aged 20 to 79 years participating in a web-based questionnaire survey (February and March 2023). The dependent variable was the regular use of web-based and offline media as a reliable source of nutrition information. The main independent variables included health literacy, food literacy, and diet quality, which were assessed using validated tools, as well as sociodemographic factors (sex, age, education level, and nutrition- and health-related occupations).

RESULTS

The top source of nutrition information was television (1973/5998, 32.89%), followed by web searches (1333/5998, 22.22%), websites of government and medical manufacturers (997/5998, 16.62%), newspapers (901/5998, 15.02%), books and magazines (697/5998, 11.62%), and video sites (eg, YouTube; 634/5998, 10.57%). Multivariable logistic regression showed that higher health literacy was associated with higher odds of using all the individual sources examined; odds ratios (ORs) for 1-point score increase ranged from 1.27 (95% CI 1.09-1.49) to 1.81 (95% CI 1.57-2.09). By contrast, food literacy was inversely associated with the use of television (OR 0.65, 95% CI 0.55-0.77), whereas it was positively associated with the use of websites of government and medical manufacturers (OR 1.98, 95% CI 1.62-2.44), books and magazines (OR 2.09, 95% CI 1.64-2.66), and video sites (OR 1.53, 95% CI 1.19-1.96). Furthermore, diet quality was positively associated with the use of newspapers (OR 1.02, 95% CI 1.01-1.03) and books and magazines (OR 1.03, 95% CI 1.02-1.04). Being female was associated with using television and books and magazines, whereas being male was associated with using websites of government and medical manufacturers, newspapers, and video sites. Age was positively associated with using newspapers and inversely associated with using websites of government and medical manufacturers and video sites. People with higher education were more likely to refer to websites of government and medical manufacturers and newspapers but less likely to use television and video sites. Dietitians were more likely to use websites of government and medical manufacturers and books and magazines than the general public but less likely to use television and video sites.

CONCLUSIONS

We identified various web-based and offline media sources regularly used by Japanese adults when seeking nutrition information, and their correlates varied widely. A lack of positive associations between the use of the top 2 major sources (television and web searches) and food literacy or diet quality is highlighted. These findings provide useful insights into the potential for developing and disseminating evidence-based health promotion materials.

Using the health beliefs model to implement mobile puberty health education in Iranian adolescent boys: a randomized controlled trial

Introduction

Given boys' low health knowledge and their unhealthy behavior during puberty, which can cause many physical, mental, and psychological problems, it is important to prevent these complications. This study was therefore aimed to determine the efficacy of a mobile health educational intervention based on the Health Beliefs Model (HBM) on Iranian adolescent boys.

Materials and methods

This randomized controlled trial involved junior high school boys (n = 148) in Iran studying during the 2020-2021 school year. Educational content concerning healthy behaviors during puberty (e.g., the importance of bathing) was developed based on HBM and sent to the intervention group via mobile phone. HBM addresses multiple factors (e.g., perceived disease risk) that explain health behaviors. The intervention was delivered in five sessions over four weeks using real-time Internet communication and texting. The control group did not receive any intervention. One school was randomly selected from each of the four districts of the study site. The schools were then randomized into intervention and control groups. The boys were then randomly selected from each school to participate in the study. Data collected at baseline and 2-month follow-up assessments included demographic information, health knowledge (e.g., physical changes during puberty), health behaviors (e.g., bathing), and HBM constructs (e.g., self-efficacy to perform healthy behaviors). Data analysis was done using the chi-square, independent and paired t-tests, and analysis of covariance (ANCOVA).

Results

The two groups did not differ in terms of demographic characteristics. Before the intervention, the two groups were slightly different in terms of knowledge, health behavior, and HBM constructs. Following the intervention, the scores of the intervention group improved significantly (p < 0.05). After adjusting for pre-intervention knowledge, HBM, and health behavior scores, the intervention group remained superior to the control group in terms of improvement of knowledge, HBM constructs, and healthy behaviors (p < 0.05). Effect sizes ranged from medium to large (0.25-0.86).

Conclusion

Mobile phone education based on the HBM is efficacious in encouraging healthy behavior in boys during puberty. Organizations interested in encouraging healthy behaviors in boys should consider the use of such a program.

Relationship Between eHealth Literacy and Healthy Aging in Older Chinese People: The Mediating Effect of Health Behaviors

OBJECTIVES

Healthy aging is an important means of promoting the well-being of older individuals. However, no studies have examined the relationship between eHealth literacy and healthy aging or its mechanism. Therefore, this study aimed to examine the relationship between eHealth literacy and healthy aging and the mediating effect of health behaviors in older Chinese individuals.

DESIGN

Cross-sectional study.

SETTING AND PARTICIPANTS

We recruited 2144 older individuals from Jinan, Shandong Province, China.

METHODS

We used the eHealth Literacy Scale to assess eHealth literacy. Healthy aging was evaluated based on multimorbidity, functional limitations, mild cognitive impairment, depressive symptoms, and social isolation. Moreover, health behaviors were assessed using the Health-Promoting Lifestyle Profile. Logistic and linear regression models were used to analyze the relationships between eHealth literacy, healthy aging, and its components. Finally, a structural equation model was used to analyze the mediation.

RESULTS

High eHealth literacy was associated with all healthy aging components (P < .05), including the absence of multimorbidity [odds ratio (OR), 1.014; 95% CI, 1.002-1.025], no functional limitation (OR, 1.035; 95% CI, 1.022-1.047), no mild cognitive impairment (OR, 1.042; 95% CI, 1.024-1.061), no depressive symptoms (OR, 1.049; 95% CI, 1.027-1.072), and no social isolation (OR, 1.033; 95% CI, 1.018-1.048). In the adjusted model, eHealth literacy (β = 0.174; 95% CI, 0.132-0.217) was positively correlated with healthy aging. Health behaviors had a partial mediating effect on the relationship between eHealth literacy and healthy aging.

CONCLUSIONS AND IMPLICATIONS

Higher eHealth literacy was associated with better healthy aging in older Chinese individuals, and health behaviors mediated this relationship. Improving eHealth literacy may be an effective intervention for achieving healthy aging.

Association between digital health literacy and physical activity levels among individuals with and without long-term health conditions: Data from a cross-sectional survey of 19,231 individuals

Objectives

This study explored associations between digital health literacy and physical activity levels and assessed potential interactions of long-term health conditions.

Methods

A cross-sectional survey was sent to 34,000 inhabitants in Region Zealand, Denmark. The survey included items on physical activity levels and three electronic Health Literacy Questionnaire (eHLQ) scales (1, 4, and 5). Associations were assessed by logistic regression and adjusted for confounders.

Results

A total of 19,231 participated in the survey. Positive associations were found between higher digital health literacy and being active >30 min./week at moderate-to-vigorous intensity (eHLQ 1: OR 1.24, p < 0.001; eHLQ 4: OR 1.13, p = 0.012; eHLQ 5: OR 1.25, p < 0.001), compliance with the World Health Organization minimum recommendations for physical activity (eHLQ 1: OR 1.33 p < 0.001; eHLQ 4: OR 1.08 p = 0.025; eHLQ 5: OR 1.32, p < 0.001), and self-reported physical active (eHLQ 1: OR 1.50 p < 0.001; eHLQ 4: OR 1.24 p < 0.001; eHLQ 5: OR 1.54 p < 0.001), even when fully adjusted for covariates. No significant interaction was found for long-term health conditions. However, individuals with more long-term health conditions exhibited the lowest digital health literacy scores (9% to 19% scored <2.0).

Conclusion

A higher digital health literacy is positively associated with higher physical activity levels. This highlights the importance of screening and promoting digital health literacy in managing digital health and digital physical activity interventions. Future research should explore strategies and targeted interventions to enhance digital health literacy and improve health outcomes.

Professionals Evaluating Clients' Suitability for Digital Health and Social Care: Scoping Review of Assessment Instruments

BACKGROUND

Increased digital health and social care services are generally considered to improve people's access to services. However, not everyone can equally access and use these resources. Health and social care professionals should assess clients' suitability for digital solutions, but to succeed, they need information about what to evaluate and how.

OBJECTIVE

This scoping review aimed to identify evaluation tools that professionals can use when assessing clients' suitability for digital health and social care. We summarized the dimensions and the practical usefulness of the instruments.

METHODS

The MEDLINE (Ovid), CINAHL, Web of Science, and ASSIA databases were searched in February 2023 following the Joanna Briggs Institute's Manual for Evidence Synthesis. Studies were included if they focused on health and social care clients and professionals, examined clients' suitability for using digital health or social care, and applied related assessment methods in the direct client work of professionals. Studies focusing primarily on instruments intended for research use without clear applicability to professionals' practical contexts were excluded. Details of the eligible studies were extracted, and qualitative content analysis according to the research objectives was performed.

RESULTS

A total of 19 articles introducing 12 different assessment instruments intended for the health care context were included in the review. No instruments were found for evaluating the suitability for digital social care. The instruments contained 60 dimensions of the client's suitability for digital health, which reflected four perspectives: (1) skill-based suitability, (2) suitability based on general ability to maintain health, (3) suitability based on attitude and experience, and (4) suitability based on practical matters. The described practical usefulness of the instruments included professionals' possibility to (1) identify clients most in need of education and support, (2) direct and recommend the right clients for the right digital services, (3) ensure that clients can use digital health, (4) improve effectiveness and maximize the provision of digital health, (5) develop and redesign services, and (6) empower clients.

CONCLUSIONS

Based on the diverse assessment instruments available and the dimensions they measure, there seems to be no comprehensive evaluation tool for assessing clients' prerequisites to use digital solutions. It is important to further develop comprehensive screening tools applicable to professionals' busy work (both in health and social care) with defined threshold values for suitability.

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.

Correlation between Health and eHealth Literacy and a Healthy Lifestyle: A Cross-Sectional Study of Spanish Primary Healthcare Patients

BACKGROUND

Health literacy and eHealth literacy play a crucial role in improving a community's ability to take care of themselves, ultimately leading to a reduction in disparities in health. Embracing a healthy way of living is vital in lessening the impact of illnesses and extending one's lifespan. This research delves into the link between the health and eHealth literacy levels of individuals accessing primary healthcare services and investigates how this relates to adopting a health-conscious lifestyle.

METHODS

The approach involves a cross-sectional examination carried out at a healthcare facility in the Madrid region of Spain, focusing on adult patients who are in need of primary care nursing services. Health and eHealth literacy and a healthy lifestyle were measured using the Health Literacy Questionnaire (HLQ), the eHealth Literacy Questionnaire (eHLQ), and the "PA100" questionnaire, respectively.

RESULTS

Only some of the dimensions of the HLQ and eHLQ were significantly related to a healthy lifestyle, predominantly with a very low or low relationship. Dimension three of the HLQ and dimension five of the eHLQ acquired more importance and were positioned as positive predictors of a healthy lifestyle.

CONCLUSIONS

This study helps comprehend the relationship between health and eHealth literacy and a healthy lifestyle, which provides information that contributes to understanding the factors that might have a higher impact on lifestyles.

Association between eHealth literacy, diabetic behavior rating, and burden among caregivers of children with type 1 diabetes: Cross-sectional survey study

OBJECTIVE

The purpose of this study was to clarify the relationship between eHealth literacy, diabetic behavior rating, and caregiving burden among caregivers of children with type 1 diabetes mellitus (T1DM).

METHODS

A questionnaire-based cross-sectional study of 143 primary caregivers of T1DM was conducted. Electronic health literacy was quantified using the Chinese version of the eHealth Literacy Scale (eHEALS). Their diabetic management behavior rating and caregiving burden were measured by Diabetes Behavior Rating Scale-Parent Version (DBRS-P) and Zarit Burden Interview (ZBI), respectively. Pearson correlation analysis was used to estimate the relationship between the above variables.

RESULTS

Only 54 (37.76%) caregivers qualified by eHEALS scale, with a total score of 30.07 ± 4.54 out of 40. A positive correlation between DRBS-P scores and the scores of eHEALS (Pearson correlation coefficient r = 0.226, P = 0.007) and a negative correlation between ZBI and eHEALS scores (r = -0.166, P = 0.047) were observed.

CONCLUSIONS

The eHealth literacy level of caregivers of children with T1DM in China remains to be improved. Caregivers with higher eHealth literacy had better diabetic management behaviors and less caregiving burden.

IMPLICATIONS TO PRACTICE

This study suggests that hierarchical electronic health-based interventions should be designed according to the different levels of eHealth literacy of individuals, to enhance the ability of caregivers with different eHealth literacy levels to fully utilize eHealth resources to improve their daily disease management skills and reduce their burden when caring for T1DM children. In addition, improving eHealth literacy of caregivers for children with T1DM can be one of the important ways to enhance the effectiveness of electronic health-based programs designed for them.

eHealth literacy among hospital health care providers: a systematic review

BACKGROUND

eHealth literacy is a key concept in the implementation of eHealth resources. However, most eHealth literacy definitions and frameworks are designed from the perceptive of the individual receiving eHealth care, which do not include health care providers' eHealth literacy or acceptance of delivering eHealth resources.

AIMS

To identify existing research on eHealth literacy domains and measurements and identify eHealth literacy scores and associated factors among hospital health care providers.

METHODS

This systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 checklist. A systematic literature search was conducted in MEDLINE, Cinahl, Embase, Scopus, PEDro, AMED and Web of Science. Quantitative studies assessing eHealth literacy with original research, targeting hospital health care providers were included. Three eHealth literacy domains based on the eHealth literacy framework were defined a priori; (1) Individual eHealth literacy, (2) Interaction with the eHealth system, and (3) Access to the system. Pairs of authors independently assessed eligibility, appraised methodological quality and extracted data.

RESULTS

Fourteen publications, of which twelve publications were conducted in non-Western countries, were included. In total, 3,666 health care providers within eleven different professions were included, with nurses being the largest group. Nine of the included studies used the eHealth literacy scale (eHEALS) to measure eHealth literacy, representing the domain of individual eHealth literacy. A minority of the studies covered domains such as interaction with the eHealth system and access to the system. The mean eHEALS score in the studies ranged from 27.8 to 31.7 (8-40), indicating a higher eHealth literacy. One study reported desirable eHealth literacy based on the Digital Health Literacy Instrument. Another study reported a relatively high score on the Staff eHealth literacy questionnaire. eHealth literacy was associated with socio-demographic factors, experience of technology, health behaviour and work-related factors.

CONCLUSIONS

Health care providers have good individual eHealth literacy. However, more research is needed on the eHealth literacy domains dependent on interaction with the eHealth system and access to the system. Furthermore, most studies were conducted in Eastern and Central-Africa, and more research is thus needed in a Western context.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews (CRD42022363039).

Health behaviors according to the ability to understand health information in Korean adults

This study aimed to verify the relationship between the level of understanding of health information and health behaviors among Korean adults. In total, 228 984 adults who participated in the 2021 Korea Community Health Survey were included. Participants were divided into three groups according to age (19-44, 45-64 and 65+). The ability to understand verbal and written health information was included, and its association with health behaviors, including smoking, alcohol consumption and preventive health service uptake, was assessed. Associations between the ability to understand health information and health behaviors were analyzed using chi-squared tests and multiple logistic regression analyses. Approximately 22.7% and 20% of the participants responded that verbal and written health information were easy to understand, respectively, with significant differences by age group. Compared to those with easy-to-understand verbal health information, those with difficulty in understanding had a higher risk of current cigarette smoking and monthly drinking and were less likely to engage in more than moderate physical activity, walking, influenza vaccination in 1 year, cancer examination in 2 years and medical examination in 2 years. Difficulty in understanding or no interest in written health information was also associated with unhealthy behaviors. A strong ability to understand health information is related to positive health behaviors. However, there are differences in the associations by age group, which should be considered when establishing a health literacy improvement strategy. These findings could promote health literacy and ultimately contribute to helping individuals make better choices for positive health behaviors.

Are health promotion activities and preventive health practices predictors of adolescent eHealth literacy?

Adolescents' general health status and health behaviors have been closely monitored in recent years. It is estimated that adolescents comprise one-sixth of the world's population. This study examined whether eHealth literacy was predicted via health promotion activities and preventive health practices among Turkish adolescents. This cross-sectional study was conducted between March and May 2022 with 706 adolescents in Çorum, Turkey. A face-to-face questionnaire form was used, including socio-demographic characteristics, preventive health practices, eHealth literacy scale and Adolescent Health Promotion Scale. The data of the research were analyzed with the SPSS 22.0 program. Percentage, mean, Pearson Correlation analysis, and multiple regression analysis were used in the analyzes. The p < 0.05 value was considered statistically significant in the evaluations. In the study, 55.8% were female, and the mean age of the whole group was 16.09 ± 2.63 years. The mean score on the eHealth literacy scale was 29.40 ± 6.29. The mean of the total scores obtained from the Adolescent Health Promotion Scale was 137.97 ± 21.87. There was a significant positive correlation between eHealth literacy and the Adolescent Health Promotion Scale (p < 0.001). Multiple linear regression analysis was performed to predict eHealth literacy using the variables of Adolescent Health Promotion and preventive health practices. eHealth literacy positively and significantly predicts health promotion activities (β = 0.27, t (695) = 7.54, p < 0.001). eHealth literacy increased annual weight measurement by more than 0.13 (β = 0.13), annual blood iron measurement by more than 0.16 (β = 0.16) and annual dental examination by more than 0.11 (β = 0.11). Developing eHealth literacy interventions will be necessary for environments with a high concentration of adolescents (schools and courses). Also, primary health care services should be integrated with the school environment.

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.

The Association between Electronic Health Literacy and Oral Health Outcomes among Dental Patients in Saudi Arabia: A Cross-Sectional Study

OBJECTIVE

This cross-sectional study aimed to investigate the association between electronic health (eHealth) literacy and oral health outcomes, including the number of teeth and brushing frequency.

METHODS

A total of 478 participants were included in the study and assessed for their eHealth literacy levels. Demographic variables, including age, gender, income, and education, were collected. The participants' number of teeth and brushing frequency were also recorded. Multiple regression analyses were performed to examine the relationship between eHealth literacy and oral health outcomes, adjusting for sociodemographic variables.

RESULTS

The study sample consisted of both males (66.5%) and females (33.5%), with a mean age of 31.95 years. Among the participants, 16.95% were classified as having inadequate eHealth literacy, 24.06% had problematic eHealth literacy, and the majority (59.00%) demonstrated sufficient eHealth literacy. There was a significant association between eHealth literacy and oral health outcomes. Individuals with problematic eHealth literacy had a higher likelihood of having a greater number of teeth (RR = 1.12, 95% CI: 1.05-1.20, p < 0.001) compared to those with inadequate eHealth literacy. Similarly, individuals with sufficient eHealth literacy showed a higher likelihood of having more teeth (RR = 1.14, 95% CI: 1.07-1.21, p < 0.001) compared to the inadequate eHealth literacy group controlling for age, gender, income, and education. Individuals with problematic eHealth literacy exhibited a tendency towards lower odds of irregular brushing (OR = 0.39, 95% CI: 0.15-1.02, p = 0.054), although this result was marginally significant. In contrast, individuals with sufficient eHealth literacy had significantly lower odds of irregular brushing frequency (OR = 0.24, 95% CI: 0.10-0.62, p = 0.003) compared to the inadequate eHealth literacy group.

CONCLUSION

The findings suggest a positive association between eHealth literacy and oral health outcomes. Improving eHealth literacy may have implications for promoting better oral health behaviors and outcomes.

Assessing vaccine literacy and exploring its association with vaccine hesitancy: A validation of the vaccine literacy scale in China

BACKGROUND

Assessment of vaccine literacy is essential for understanding people's ability to access various vaccine information to meet health demands. Few studies have examined the role of vaccine literacy in vaccine hesitancy, which is a psychological state. This study aimed to validate the applicability of the HLVa-IT (Vaccine Health Literacy of Adults in Italian) scale in Chinese settings and to explore the association between vaccine literacy and vaccine hesitancy.

METHODS

From May to June 2022, we conducted an online cross-sectional survey in mainland China. Potential factor domains were obtained by the exploratory factor analysis. Cronbach's alpha coefficient, composite reliability values, and square root values of average variances extracted were calculated to determine the internal consistency and discriminant validity. The association between vaccine literacy, vaccine acceptance, with vaccine hesitancy was assessed using logistic regression analysis.

RESULTS

Totally, 12,586 participants completed the survey. Two potential dimensions, the functional and the interactive/critical, were identified. Cronbach's alpha coefficient and composite reliability values were >0.90. The square root values of average variances extracted exceeded the related correlations. The functional dimension (adjusted odds ratio (aOR): 0579; 95 % Confidence Interval (CI); 0.529, 0.635), interactive (aOR: 0.654; 95%CI: 0.531, 0.806)/critical (aOR: 0.709; 95%CI: 0.575, 0.873) dimension were significantly and negatively associated with vaccine hesitancy. Similar results were also found in different vaccines acceptance subgroups.

LIMITATIONS

This report is limited by the convenience sampling method.

CONCLUSIONS

The modified HLVa-IT is suitable for use in Chinese settings. Vaccine literacy was negatively associated with vaccine hesitancy.