Electronic health literacy and health-related outcomes among older adults: A systematic review

Leveraging community Wi-Fi and spaces for digital health use

Digital health disparities continue to affect marginalized populations, especially older adults, individuals with low-income, and racial/ethnic minorities, intensifying the challenges these populations face in accessing healthcare. Bridging this digital divide is essential, as digital access and literacy are social determinants of health that can impact digital health use and access to care. This article discusses the potential of leveraging community Wi-Fi and spaces to improve digital access and digital health use, as well as the challenges and opportunities associated with this strategy. The existing limited evidence has shown the possibility of using community Wi-Fi and spaces, such as public libraries, to facilitate telehealth services. However, privacy and security issues from using public Wi-Fi and spaces remain a concern for librarians and healthcare professionals. To advance digital equity, efforts from multilevel stakeholders to improve users' digital access and literacy and offer tailored technology support in the community are required. Ultimately, leveraging community Wi-Fi and spaces offers a promising avenue to expand digital health accessibility and use, highlighting the critical role of collaborative efforts in overcoming digital health disparities.

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.

Cancer literacy differences of basic knowledge, prevention, early detection, treatment and recovery: a cross-sectional study of urban and rural residents in Northeast China

Background

Cancer literacy as a potential health intervention tool directly impacted the success of cancer prevention and treatment initiatives. This study aimed to evaluate the cancer literacy in Northeast China, and explore the factors contributing to urban-rural disparities.

Methods

A cross-sectional survey was conducted in 14 cities across Liaoning Province, China, from August to October 2021, using the multistage probability proportional to size sampling (PPS) method. The survey comprised 4,325 participants aged 15-69 and encompassed 37 core knowledge-based questions spanning five dimensions. Associations between sociodemographic factors and the cancer literacy rate were evaluated using chi-square tests and multivariate logistic regression model.

Results

The overall cancer literacy rate was 66.9% (95% CI: 65.6-68.2%). In the primary indicators, cancer literacy were highest in treatment (75.8, 95% CI: 74.2-77.4%) and early detection (68.2, 95% CI: 66.8-69.6%), followed by basic knowledge (67.2, 95% CI: 65.8-68.6%), recovery (62.6, 95% CI: 60.7-64.5%) and prevention (59.7, 95% CI: 58.2-61.3%). Regarding secondary indicators, the awareness rates regarding cancer-related risk factors (54.7, 95% CI: 52.8-56.5%) and early diagnosis of cancer (54.6, 95% CI: 52.7-56.6%) were notably inadequate. Rural participates exhibited lower cancer literacy across all dimensions compared to urban. Multi-factor analysis showed that factors such as advanced age, limited education or low household income were barriers to health literacy in rural areas.

Conclusion

Strengthening awareness concerning prevention and early detection, particularly among key populations, and bridging the urban-rural cancer literacy gap are imperative steps toward achieving the Healthy China 2030 target.

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.

Health literacy and asthma: An update

The US Department of Health and Human Services has defined health literacy (HL) as the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions. Structural and social determinants of health lead to low HL in approximately 36% of adults in the United States, where this condition is most prevalent in racial and ethnic minorities, economically disadvantaged communities, and immigrants with limited English proficiency. In turn, low HL can worsen asthma outcomes through direct effects (eg, nonadherence to or incorrect use of medications) and indirect effects (eg, an unhealthy diet leading to obesity, a risk factor for asthma morbidity). The purpose of this update is to examine evidence from studies on low HL and health and asthma outcomes published in the last 12 years, identify approaches to improve HL and reduce health disparities in asthma, and discuss future directions for research in this area under the conceptual framework of a socioecological model that illustrates the multifactorial and interconnected complexity of this public health issue at different levels.

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.

Health Literacy and Self-Care in Patients with Chronic Illness: A Systematic Review and Meta-Analysis Protocol

Self-care plays a critical role in symptom recognition, management, and risk factor modification for patients with chronic illnesses. Despite its significance, self-care levels in this population are generally poor. Health literacy (HL) is pivotal for promoting effective self-care, yet the association across specific chronic illnesses remains fragmented and conflicting. Therefore, a systematic review and meta-analysis will be conducted. Inclusion criteria encompass quantitative studies involving adult patients with at least one chronic illness reporting on the association between a measure of HL and one or more elements of self-care behaviors as outcomes. Databases to be searched include PubMed, CINAHL, APA PsycINFO, Embase, Web of Science, and Cochrane Central Register of Controlled Trials. The studies will undergo risk of bias and certainty of evidence assessment using ROBINS-E and GRADE. Extracted data will include authors, publication date, aim(s), study location, design, sample characteristics, chronic illness type, study length, HL, and self-care measures. Understanding the link between HL and self-care can aid healthcare providers in implementing strategies to enhance health-promoting behaviors, contributing valuable insights to the scientific community and fostering nuanced discussions. This protocol ensures methodological transparency, stimulates discourse, and paves the way for informed interventions to improve overall health outcomes.

The mediating effect of eHealth literacy on the relationship between health personality and quality of life in community-dwelling older adults

AIMS

To explore the relationship between health personality and quality of life among community-dwelling older adults and to examine the mediating effect of eHealth literacy on this relationship.

METHODS

A total of 413 community-dwelling older adults from central China were recruited from September 2022 to January 2023. A cross-sectional investigation was conducted using the Chinese versions of the Health Personality Assessment (HPA), eHealth Literacy Scale (eHEALS), and 12-item Short Form Health Survey (SF-12). Correlations between the three variables were examined by Pearson analysis, and mediation analysis was conducted to explore the direct, indirect, and total effects of the health personality on quality of life vis-à-vis eHealth literacy.

RESULTS

Health personality factors (including health neuroticism, health openness, and health conscientiousness), eHealth literacy, and quality of life are significantly correlated (P<0.05); eHealth literacy can play a significant mediating role in the relationship between health neuroticism (β= -0.256, 95 %CI: [-0.405, -0.119]), health openness (β = 0.488, 95 % CI: [0.343,0.652]), health conscientiousness (β= 0.489, 95 % CI: [0.354, 0.634]) and quality of life.

CONCLUSION

This study revealed that the effect of health personality factors (including health neuroticism, health openness, and health conscientiousness) on quality of life in older adults was mediated through eHealth literacy.

IMPACT

Individual personality is essential to understanding eHealth literacy and quality of life among community-dwelling older adults. It may be helpful to identify the health personality traits of older adults first, then implement targeted interventions accordingly to enhance eHealth literacy and ultimately improve quality of life.

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.

Exploring health literacy categories among an Iranian adult sample: a latent class analysis

General and electronic health literacy are important factors engaging in healthy behaviors and maintaining good health. The present study explored demographic factors associated with general and electronic health literacy in the Iranian adult population. Via stratified cluster sampling, trained interviewers visited adult residents in Qazvin Province, Iran between January, and April 2022. The participants (N = 9775; mean age = 36.44 years; 6576 [67.3%] females) completed the Health Literacy Instrument for Adults (HELIA) assessing health literacy and the eHealth Literacy Scale (eHEALS) assessing electronic health literacy. Demographic data, including age, gender, educational level, marital status, and living location (city or rural), were collected. Latent class analysis (LCA) was used to classify the participants into different health literacy/electronic health literacy levels. The relationships between health literacy/electronic health literacy levels and demographic factors were examined using χ2 or analysis of variance. The LCA used HELIA scores to suggest five classes of health literacy and eHEALS scores to suggest three classes of electronic health literacy. For general and electronic health literacy, similar relationships were with demographic factors: females as compared with males had better general/electronic health literacy; younger people as compared with older people had better general/electronic health literacy; higher educational level was associated with better general/electronic health literacy; and city residents as compared with rural residents had better general/electronic health literacy. In conclusion, Iranian governmental agencies may wish to target on males, older adults, people with low educational level, and rural residents to improve their health literacy.

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.

Psychometric validation of the Chinese digital health literacy instrument among Chinese older adults who have internet use experience

INTRODUCTION

In this digital age, the Internet has become a major source of health information, and electronic health (eHealth) literacy becomes increasingly important for older individuals to properly use the extensive eHealth resources for self-care. A valid and reliable tool for assessing older people's eHealth literacy would help healthcare workers identify those disadvantaged groups in digital health and provide relevant health education.

OBJECTIVES

This study aimed to evaluate the psychometric properties of the Chinese version of DHLI in assessing eHealth literacy among older adults in China.

METHODS

A web-based, cross-sectional study was conducted among 277 Chinese older adults from September to November 2021. Two weeks after the first completion, 62 of them answered the C-DHLI again. The reliability (e.g. internal consistency and test-retest reliability), factorial structure and validity (i.e. content validity and convergent validity) of the C-DHLI were evaluated based on the survey data.

RESULTS

The results demonstrated good internal consistency (Cronbach's alpha: 0.94) and test-retest reliability (total intraclass correlation coefficient [ICC]: 0.94) of the C-DHLI. Principal component analysis revealed that the 18 items of C-DHLI loaded on three factors, accounting for 74.69% of the total variance; CFA supported its three-factor structure with good model fits. Convergent validity was examined by the significant associations between C-DHLI and C-eHEALS (r = 0.61), health literacy (r = 0.56), and whether having used the Internet for health information (ρ = 0.43) (ps <.001). A cut-off score of 45 was recommended for determining higher and lower literacy using the C-DHLI, with the area under curve of 0.82 (95% CI = 0.77-0.88).

CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

The C-DHLI showed good psychometric performance in assessing eHealth literacy among Chinese older adults. The findings can support healthcare professionals to effectively measure eHealth literacy among older adults and conduct tailored eHealth interventions or training.

Relationship Between Electronic Health Literacy and Self-Management in People With Type 2 Diabetes Using a Structural Equation Modeling Approach

BACKGROUND

Electronic health (eHealth) literacy is a relatively new concept used to determine health outcomes. However, it is not well known how eHealth literacy relates to health outcomes such as diabetes self-management.

PURPOSE

This study was designed to examine the relationships among eHealth literacy, self-efficacy, social support, and self-management in people with Type 2 diabetes.

METHODS

A cross-sectional design was used to examine secondary data from a field survey of people with Type 2 diabetes recruited from outpatient clinics from August to December 2021 ( N = 453). A structural equation model was used that first analyzed the measurement model using confirmatory factor analysis and then tested the hypothesized structural model to estimate the expected relationships among the study variables. The significance of the statistical estimates for the model was assessed based on the 95% bias-corrected bootstrap confidence interval from 5,000 bootstrap resamples.

RESULTS

Significant, indirect relationships were found between eHealth literacy and self-management via self-efficacy (β = 0.26, B = 0.17, 95% CI [0.10, 0.24]) and via social support and, in turn, self-efficacy (β = 0.08, B = 0.05, 95% CI [0.04, 0.08]). eHealth literacy, social support, and self-efficacy together explained 58.1% of the variance in self-management.

CONCLUSION/IMPLICATIONS FOR PRACTICE

This study provides new evidence regarding how eHealth literacy relates to self-management in people with Type 2 diabetes via two indirect pathways, including self-efficacy alone and social support and self-efficacy in series. An eHealth literacy program for self-management should be developed in clinical practice that includes strategies for inducing synergistic effects from self-efficacy and social support on self-management in people with Type 2 diabetes.

Topics Included in Health Literacy Studies in Asia: A Systematic Review

The study aimed to review general and specific health literacy studies in different countries in Asia to understand the progress of health literacy researches in the region. English-published studies with quantitative measurements of health literacy were collected through a systematic search in PubMed, Cochrane Library, Embase, and Web of Science, without publication dates limitation. A total of 156 articles on general health literacy, oral, mental, disease-specific health literacy, and eHealth literacy were collected. General health literacy was the most covered topic in 89 articles, followed by eHealth Literacy. Health literacy studies have been conducted in 16 countries and have been increasingly concerned in most of the countries in Asia. China had the largest number of articles, followed by Taiwan. Four studies had participants from more than one country. Education, age, health status, incomes, and living/residential area were significantly associated with health literacy levels in 156 studies, with the prevalence of 55.8%, 28.2%, 20.5%, 17.9%, and 10.9%, respectively. Lower health literacy was related to poorer health outcomes or lower quality of life in 71 studies.

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.

Effects of social support and self-efficacy on eHealth literacy in Korean women undergoing breast cancer treatment: A secondary analysis

Objective

Patients with breast cancer need to seek out and understand relevant health information to make informed decisions about long-term and complicated illnesses. With the increased use of interventions using online health information, research on eHealth literacy should be expanded. However, existing studies on the factors affecting eHealth literacy in patients with breast cancer are currently lacking. This study, therefore, conducts a secondary analysis of a previous study that surveyed the quality of life of patients with breast cancer. The primary study found a significant correlation between eHealth literacy, social support, and self-efficacy. In this secondary analysis study, we specifically examine eHealth literacy among patients with breast cancer undergoing treatment, and how patient demographic characteristics, breast cancer-specific self-efficacy, and social support contribute to their eHealth literacy.

Methods

A total of 143 women receiving outpatient treatment or were hospitalized for breast cancer at a cancer hospital in South Korea participated in the study from January to November 2022. The eHealth Literacy Scale (eHEALS), Multidimensional Social Support Scale, and Breast Cancer Survivors Scale were utilized in the analysis. The data were analyzed using a multiple regression analysis.

Results

Full-time employment (β ​= ​0.19, P ​= ​0.006), a monthly family income of over 4 million won (3600 USD) (β ​= ​0.14, P ​= ​0.042), completing a high school education (β ​= ​0.52, P ​< ​0.001), completing college level or higher education (β ​= ​0.54, P ​< ​0.001), age (β ​= ​-0.23, P ​= ​0.003), and social support (β ​= ​0.21, P ​= ​0.002) were predictors of eHealth literacy, explaining 40.2% of the total variance (F ​= ​14.63, P ​< ​0.001).

Conclusions

Social support was identified as a new factor influencing eHealth literacy among patients with breast cancer undergoing treatment. Therefore, nursing interventions to strengthen social support should be developed to improve eHealth literacy.

Effectiveness of Digital Health Literacy Interventions in Older Adults: Single-Arm Meta-Analysis

BACKGROUND

In a world of rapid digital technology development, the lack of digital health literacy (DHL) among older people cannot be ignored. DHL is becoming an essential competency that can facilitate the health status and health management of older adults. DHL interventions that are feasible and appropriate can be implemented on a large scale through the health care system for older people.

OBJECTIVE

The purpose of this meta-analysis was to assess the effectiveness of DHL interventions for older adults.

METHODS

English publications in PubMed, Web of Science, Embase, and the Cochrane Library were searched from inception to November 20, 2022. Two reviewers independently completed the data extraction and quality assessment. Review Manager (version 5.4; Cochrane Informatics & Technology Services) software was used for all meta-analyses.

RESULTS

A total of 7 studies, including 2 randomized controlled trials and 5 quasi-experimental studies, involving 710 older adults were considered eligible. The main outcome was scores on the eHealth Literacy Scale, and secondary outcomes were knowledge, self-efficacy, and skills. Quasi-experimental studies compared baseline and postintervention outcomes, while randomized controlled trials compared pre- and postintervention outcomes in the intervention group. Of the 7 studies, 3 used face-to-face instruction, while 4 adopted web-based interventions. Among them, 4 of the interventions were conducted using theoretical guidance, while 3 were not. Intervention duration varied from 2 to 8 weeks. In addition, the studies included were all conducted in developed countries, mainly in the United States. Pooled analysis presented that DHL interventions had positive effects on eHealth literacy efficacy (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001). Subgroup analysis revealed that DHL interventions that chose face-to-face teaching (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), were guided by a conceptual framework (standardized mean difference 1.15, 95% CI 0.46 to 1.84; P=.001), and were sustained over 4 weeks (standardized mean difference 1.1, 95% CI 0.46 to 1.84; P=.001) had a more significant effect. Moreover, the outcomes showed considerable gains in knowledge (standardized mean difference 0.93, 95% CI 0.54 to 1.31; P<.001) and self-efficacy (standardized mean difference 0.96, 95% CI 0.16 to 1.77; P=.02). No statistically significant effect was found for skills (standardized mean difference 0.77, 95% CI -0.30 to 1.85; P=.16). The small number of studies, variable study quality, and heterogeneity are some limitations of this review.

CONCLUSIONS

DHL interventions have positive effects on the health status and health management of older adults. Practical and effective DHL interventions are crucial for the use of modern digital information technology in managing the health of older people.

TRIAL REGISTRATION

PROSPERO International Prospective Register of Systematic Reviews CRD42023410204; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=410204.

Impact of digital health literacy on health-related quality of life in Chinese community-dwelling older adults: the mediating effect of health-promoting lifestyle

Background

In the context of aging and digitalization, the development and application of digital health can help meet the growing health needs of older adults. Improving digital health literacy of older adults may be an effective way to alleviate the shortage of public health resources and improve their health-related quality of life (HRQoL). However, the impact of digital health literacy on HRQoL in older adults and the underlying mechanism remain unclear. This study intends to explore whether digital health literacy has an effect on HRQoL in community-dwelling older adults, and whether health-promoting lifestyle plays a mediating role between digital health literacy and HRQoL, while providing a theoretical basis for the scientific construction of HRQoL intervention programs for older adults.

Methods

The cross-sectional study was conducted in Chongqing, China from September 2020 to April 2021. 572 community-dwelling older adults were surveyed by stratified sampling. Data on sociodemographic characteristics, digital health literacy, health-promoting lifestyle and HRQoL were collected. Univariate analysis was used to compare the differences in HRQoL among community-dwelling older adults with different sociodemographic characteristics. Pearson correlation analysis was used to explore the correlation between digital health literacy, health-promoting lifestyle and HRQoL. SPSS PROCESS macro was used to examine the mediating effect of health-promoting lifestyle between digital health literacy and HRQoL.

Results

The mean score of HRQoL was 97.97 (SD 11.45). Univariate analysis showed that there were statistically significant differences in HRQoL among community-dwelling older adults with different gender, age, educational level, marital status, and monthly household income per capita (p < 0.05). There were positive correlations between digital health literacy, health-promoting lifestyle and HRQoL, with correlation coefficients ranging from 0.416 to 0.706 (p < 0.001). Digital health literacy was positively associated with HRQoL (β = 0.210, p < 0.001), and health-promoting lifestyle mediated the relationship between digital health literacy and HRQoL, with an indirect effect of 0.175 (95% Bootstrap CI 0.135-0.214).

Conclusion

Digital health literacy can affect HRQoL through the mediating effect of health-promoting lifestyle. It is suggested that relevant management institutions, communities and families should strengthen the cultivation of the digital health literacy of older adults, promote their development of health-promoting lifestyle, and ultimately improve HRQoL.

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.

Comparison of eHealth Literacy Scale (eHEALS) and Digital Health Literacy Instrument (DHLI) in Assessing Electronic Health Literacy in Chinese Older Adults: A Mixed-Methods Approach

This study compared the reliability, construct validity, and respondents' preference of the Chinese version of 8-item eHEALS (C-eHEALS) and 21-item DHLI (C-DHLI) in assessing older adults' electronic health (eHealth) literacy using a mixed-methods approach. A web-based, cross-sectional survey was conducted among 277 Chinese older adults from September to October 2021, and 15 respondents were subsequently interviewed to understand their preference of scale to use in practice. Results showed that the internal consistency and test-retest reliability of both scales were satisfactory. For the construct validity, the C-DHLI score showed stronger positive correlations with having Internet use for health information and higher educational attainments, occupational skill levels, self-rated Internet skills, and health literacy than the C-eHEALS score. In addition, younger age, higher household income, urban residence, and longer Internet use history were only positively correlated with C-DHLI score. Qualitative data suggested that most interviewees perceived the C-DHLI as more readable than C-eHEALS for its clear structure, specific description, short sentence length, and less semantic complexity. Findings revealed that both scales are reliable tools to measure eHealth literacy among Chinese older adults, and the C-DHLI seemed to be a more valid and favored instrument for the general Chinese older population based on the quantitative and qualitative results.

The prevalence of eHealth literacy and its relationship with perceived health status and psychological distress during Covid-19: a cross-sectional study of older adults in Blekinge, Sweden

BACKGROUND AND AIMS

eHealth literacy is important as it influences health-promoting behaviors and health. The ability to use eHealth resources is essential to maintaining health, especially during COVID-19 when both physical and psychological health were affected. This study aimed to assess the prevalence of eHealth literacy and its association with psychological distress and perceived health status among older adults in Blekinge, Sweden. Furthermore, this study aimed to assess if perceived health status influences the association between eHealth literacy and psychological distress.

METHODS

This cross-sectional study (October 2021-December 2021) included 678 older adults' as participants of the Swedish National Study on Aging and Care, Blekinge (SNAC-B). These participants were sent questionnaires about their use of Information and Communications Technology (ICT) during the COVID-19 pandemic. In this study, we conducted the statistical analysis using the Kruskal-Wallis one-way analysis of variance, Kendall's tau-b rank correlation, and multiple linear regression.

RESULTS

We found that 68.4% of the participants had moderate to high levels of eHealth literacy in the population. Being female, age [Formula: see text] years, and having a higher education are associated with high eHealth literacy ([Formula: see text]). eHealth literacy is significantly correlated ([Formula: see text]=0.12, p-value=0.002) and associated with perceived health status ([Formula: see text]=0.39, p-value=0.008). It is also significantly correlated ([Formula: see text]=-0.12, p-value=0.001) and associated with psychological distress ([Formula: see text]=-0.14, p-value=0.002). The interaction of eHealth literacy and good perceived health status reduced psychological distress ([Formula: see text]=-0.30, p-value=0.002).

CONCLUSIONS

In our cross-sectional study, we found that the point prevalence of eHealth literacy among older adults living in Blekinge, Sweden is moderate to high, which is a positive finding. However, there are still differences among older adults based on factors such as being female, younger than 75 years, highly educated, in good health, and without psychological distress. The results indicated that psychological distress could be mitigated during the pandemic by increasing eHealth literacy and maintaining good health status.

Associations between health literacy, digital skill, and eHealth literacy among older Chinese adults: A cross-sectional study

Objective

Digital divide in health-related technology use is a prominent issue for older adults. Improving eHealth literacy may be an important solution to this problem. This study aimed to explore the associations between health literacy, digital skills, and eHealth literacy among older Chinese adults.

Methods

A total of 2,144 older adults (mean age, 72.01  ±  6.96 years) from Jinan City, China participated in this study. The eHealth Literacy Scale was used to measure eHealth literacy in older adults. A linear regression model was used to analyze the associations among health literacy, digital skills, and eHealth literacy in older Chinese adults.

Results

The mean eHealth literacy score of the older adults was 17.56  ±  9.61. After adjusting for sociodemographic characteristics and experience of Internet usage, the results of the linear regression showed that health literacy (B  =  0.258, 95% confidence interval (CI)  =  0.215-0.302, P< 0.001) and digital skills (B  =  0.654, 95% CI  =  0.587-0.720, P < 0.001) were positively associated with eHealth literacy. Sensitivity analyses revealed that this association remained robust.

Conclusions

The level of eHealth literacy in older Chinese adults is low. Health literacy and digital skills are associated with eHealth literacy in older adults. In the future, eHealth literacy intervention research should be considered from the perspective of health literacy and digital skills.

The influence of health information attention and app usage frequency of older adults on persuasive strategies in mHealth education apps

With the development of mobile communication technology, persuasive technology is widely used in mobile health. Using personalized persuasive strategies in mobile health education (MHE) apps can effectively improve users’ health literacy and health behaviors. The transtheoretical model explains the process of user behavior change. Different usage frequency of the app reflects changes in user behavior. However, few studies have examined how the perceived importance of persuasive strategies among older adults changes with increasing use frequency. In this study, we analyzed the sensitivity of 111 older adults in China to persuasive strategies in MHE apps. Thirteen persuasive strategies were selected for this study. A repeated measure analysis of variance (RM-ANOVA) was used to demonstrate the influence of gender, health information attention and frequency of use on the sensitivity of perceived persuasive strategies among older adults. The results revealed older adults with a high usage frequency of health apps were more receptive to persuasive strategies, especially in social comparison strategy. This result may help developers consider factors such as the frequency of use by older users when designing personalized persuasive strategies for MHE apps.

Dementia literacy in an ageing world

AIMS

This discursive article aims to capture and explore the most pertinent nursing aspects of dementia literacy (DL).

BACKGROUND

Older people constitute a rapidly increasing proportion of the global population, experiencing higher risk of developing chronic disease, including dementia. It is important that older adults receive and understand reliable health-related information, as age-related changes may affect the level of health literacy in an older person. It has been suggested that older adults may have poorer health literacy than younger adults, associated with poorer health outcomes. Health literacy, how people receive, interpret and act on health information, play a significant role in dementia-related disorders, both as a possible predicter of onset of dementia and as a potential modifier of cognitive decline. Dementia literacy constitutes one aspect of health literacy in relation to nursing care, related to knowledge of dementia-related disorders and approaches towards older people with dementia.

DESIGN

This discursive article explores the importance of DL for the nursing profession, including dementia-related assessment, education and interventions.

METHOD

This article is informed by analysis of relevant descriptive and empirical literature and policy documents related to DL, an increasingly important aspect of dementia-related nursing care. Valid assessment tools that can accurately assess aspects an individuals' DL are examined; these have the potential to help nurses detect dementia-related symptoms. With early detection and prevention of dementia, older people may have better chance of benefiting from evolving treatment options.

CONCLUSION

Greater attention needs to be given to the issue of DL in older people, especially in terms of nursing assessment and care. Globally, increased DL-related education is urgently required to improve knowledge of this concept; this includes public awareness initiatives to better understanding this chronic condition.

IMPLICATION NURSING PRACTICE

Enhancing DL has the potential to empower older people to have greater access to healthcare services and to make more informed decisions about their health care.

PATIENT OR PUBLIC CONTRIBUTION

No patient or public contribution, as this is a discursive article.

Lessons Learned from an Attempted Pragmatic Randomized Controlled Trial for Improvement of Chronic Pain-Associated Disability in Green Professions: Long-Term Effectiveness of a Guided Online-Based Acceptance and Commitment Therapy &nbsp;(PACT-A)

Musculoskeletal symptoms are increased in farmers, whereas the prevalence of chronified pain is unknown. Online interventions based on acceptance and commitment therapy (ACT) have shown encouraging results in the general population, representing a promising approach for reducing pain interference in green professions (i.e., farmers, foresters, gardeners). We conducted a pragmatic RCT comparing a guided ACT-based online intervention to enhanced treatment-as-usual in entrepreneurs, contributing spouses, family members and pensioners in green professions with chronic pain (CPG: ≥grade II, ≥6 months). Recruitment was terminated prematurely after 2.5 years at N = 89 (of planned N = 286). Assessments were conducted at 9 weeks (T1), 6 months (T2) and 12 months (T3) post-randomization. The primary outcome was pain interference (T1). The secondary outcomes encompassed pain-, health- and intervention-related variables. No treatment effect for reduction of pain interference was found at T1 (β = -0.16, 95%CI: -0.64-0.32, p = 0.256). Improvements in cognitive fusion, pain acceptance, anxiety, perceived stress and quality of life were found only at T3. Intervention satisfaction as well as therapeutic and technological alliances were moderate, and uptake and adherence were low. Results are restricted by low statistical power due to recruitment issues, high study attrition and low intervention adherence, standing in contrast to previous studies. Further research is warranted regarding the use of ACT-based online interventions for chronic pain in this occupational group. Trial registration: German Clinical Trial Registration: DRKS00014619. Registered: 16 April 2018.

The Effects of the Use of Patient-Accessible Electronic Health Record Portals on Cancer Survivors’ Health Outcomes: Cross-sectional Survey Study

Background

In the past decade, patient-accessible electronic health record (PAEHR) systems have emerged as an important tool for health management both at the hospital level and individual level. However, little is known about the effects of PAEHR portals on the survivorship of patients with chronic health conditions (eg, cancer).

Objective

This study aims to investigate the effects of the use of PAEHR portals on cancer survivors’ health outcomes and to examine the mediation pathways through patient-centered communication (PCC) and health self-efficacy.

Methods

Data for this study were derived from the Health Information National Trends Survey (HINTS 5, Cycle 4) collected from February 2020 to June 2020. This study only involved respondents who reported having been diagnosed with cancer (N=626). Descriptive analyses were performed, and the mediation models were tested using Model 6 from the SPSS macro PROCESS. Statistically significant relationships among PAEHR portal use, PCC, health self-efficacy, and physical and psychological health were examined using bootstrapping procedures. In this study, we referred to the regression coefficients generated by min-max normalization as percentage coefficients (bp). The 95% bootstrapped CIs were used with 10,000 resamplings.

Results

No positive direct associations between PAEHR portal use and cancer survivors’ health outcomes were found. The results supported the indirect relationship between PAEHR portal use and cancer survivors’ psychological health via (1) PCC (bp=0.029; β=.023, 95% CI .009-.054), and (2) PCC and health self-efficacy in sequence (bp=0.006; β=.005, 95% CI .002-.014). Besides, the indirect association between PAEHR portal use and cancer survivors’ physical health (bp=0.006; β=.004, 95% CI .002-.018) via sequential mediators of PCC and health self-efficacy was also statistically acknowledged.

Conclusions

This study offers empirical evidence about the significant role of PAEHR portals in delivering PCC, improving health self-efficacy, and ultimately contributing to cancer survivors’ physical and psychological health.

The effectiveness and usability of a novel mobile phone-based self-care intervention for patients with heart failure: A mixed-methods pilot study

AIM

To evaluate the preliminary effectiveness and usability of a novel mobile phone-based self-care intervention (named WithUs) for patients with heart failure (HF).

METHODS AND RESULTS

We conducted a mixed-methods pilot study with group pretest-posttest design and usability testing. Participants were 26 Korean HF patients (20 men; median age 62 years) who took part in this study after hospital discharge. Data were collected at baseline and after the 24-week intervention, using questionnaires and interviews. The outcome variables were eHealth literacy, disease knowledge, and self-care behaviours. The Wilcoxon signed-rank test was used to compare the pre- and post-intervention results. Thematic analysis was used for analysing qualitative data. The WithUs programme improved the eHealth literacy (p = .005), disease knowledge (p < .001), and self-care behaviours (p < .001) of patients with HF. The median score of total app usability was 4.1 out of 5 (interquartile range = 4.0-5.0). Four themes were identified which complemented the quantitative results. These were increased awareness of the importance of routine self-care behaviours, enhanced motivation toward self-care behaviours, challenges adapting to the new app, and suggestions for improving app adoption.

CONCLUSION

The app was effective in improving adherence to self-care behaviours, eHealth literacy, and disease knowledge in patients with HF. The usability evaluation results showed that the app is usable and has the potential to support HF patients in self-care. However, the app needs to be modified to improve its adoption.

Perceived Information Distortion about COVID-19 Vaccination and Addictive Social Media Use among Social Media Users in Hong Kong: The Moderating Roles of Functional Literacy and Critical Literacy

During the COVID-19 pandemic, distorted information about the COVID-19 vaccination is widely disseminated through social media. The present study examined the association between perceived information distortion about COVID-19 vaccination on social media, individuals’ functional and critical literacy, and addictive social media use (SMU), as well as the moderating roles of functional and critical literacy in the association between perceived information distortion and addictive SMU among social media users in Hong Kong. A web-based, cross-sectional survey was conducted among 411 Chinese citizens from June to August 2021. Findings showed that after adjusting for significant background variables, including age, gender, marital status, education, occupation, and income, functional literacy was negatively associated with addictive SMU. In addition, significant moderation effects of functional literacy and critical literacy were also observed, such that a positive association between perceived information distortion on social media and addictive SMU was significant among participants with lower functional literacy or higher critical literacy. Findings highlight the importance of improving functional literacy in addictive SMU prevention for social media users. Special attention should also be paid to the potential influence of critical literacy on addictive SMUs.