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

Bridging the digital health divide: a narrative review of the causes, implications, and solutions for digital health inequalities

Background: Digital health interventions have the potential to improve health at a large scale globally by improving access to healthcare services and health-related information, but they tend to benefit more affluent and privileged groups more than those less privileged. Methods: In this narrative review, we describe how this 'digital health divide' can manifest across three different levels reflecting inequalities in access, skills and benefits or outcomes (i.e. the first, second, and tertiary digital divide). We also discuss four key causes of this digital divide: (i)) digital health literacy as a fundamental determinant; (ii) other personal, social, community, and societal level determinants; (iii) how technology and intervention development contribute to; and (iv) how current research practice exacerbates the digital health divide by developing a biased evidence base. Finally, we formulate implications for research, policy, and practice. Results: Specific recommendations for research include to keep digital health interventions and measurement instruments up to date with fastpaced technological changes, and to involve diverse populations in digital intervention development and evaluation research. For policy and practice, examples of recommendations are to insist on inclusive and accessible design of health technology and to ensure support for digital health intervention enactment prioritises those most vulnerable to the digital divide. Conclusion: We conclude by highlighting the importance of addressing the digital health divide to ensure that as digital technologies' inevitable presence grows, it does not leave those who could benefit most from innovative health technology behind.

Digital Health Interventions for Atherosclerotic Cardiovascular Disease: The Current Impact and Future Directions for Prevention and Management

Atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality worldwide, including in Japan, where the aging population intensifies its impact. This review evaluated the potential impact of digital healthcare on the prevention and management of ASCVD, covering both primary and secondary prevention strategies. Digital health tools, such as risk assessment applications remote monitoring, lifestyle modification support, and remote rehabilitation, have shown promise in improving patient engagement, adherence, and outcomes. However, while digital health interventions demonstrate significant benefits, challenges persist, including interoperability issues, privacy concerns, low digital literacy among older adults, and limited health insurance coverage for digital interventions. Through an analysis of recent advancements and case studies, this review demonstrates the need for user-centered design, enhanced regulatory frameworks, and expanded insurance support to facilitate the effective integration of digital health in ASCVD care. Furthermore, emerging technologies such as personalized healthcare modules offer promising directions for tailored and impactful care. Addressing these barriers is critical to unleashing the full potential of digital healthcare to reduce the burden of ASCVD and enhance patient outcomes.

Use of multimedia shared decision-making aids (EATING program) for improving advance care planning engagement among community-dwelling older adults with chronic diseases: A cluster randomized controlled trial

BACKGROUND

Discussing advance care planning (ACP) preferences for nasogastric tube (NG) insertion remains challenging among older adults. Multimedia decision-making aids have demonstrated potential to enhance understanding and support informed decision-making.

AIM

To evaluate the effectiveness of the EATING program (multimedia decision-making aids + traditional educational module) compared to usual care (traditional educational module alone) in improving ACP readiness on NG insertion for community older adults with chronic illness.

METHODS

A single blind, two-arm parallel cluster randomized controlled trial was conducted across four community villages in Northern Taiwan. Participants from two villages received the EATING program, while the other two villages received the usual care. Eligible criteria included community older adults aged ≥65 with at least one chronic disease who were able to provide informed consent. Exclusion criteria included hearing or visual impairments or a history of mental illness. Pre- and post-intervention outcomes, along with one-month follow-up data, were analyzed using descriptive statistics and generalized estimating equations.

RESULTS

Both groups showed significant immediate improvements in knowledge (p < 0.001), belief/behavior (p < 0.001), decision confidence (p < 0.001), and readiness for ACP (p < 0.001). The experimental group showed greater improvement, particularly in emotional response and preferences (Z = -5.51, p < 0.001), observed only in this group. Sustained effect on knowledge (B = 35.029, p < 0.001), emotional response and preferences (B = 9.342, p < 0.001), refusal NG tube insertion (Z = -2.770, p = 0.006), and likelihood of signing official documents (p = 0.035) were observed after one month.

CONCLUSION

The study highlights the potential of multimedia program to enhance NG insertion discussions among community older adults. Further qualitative investigations and cultural adaptation are recommended.

Evaluation of an e-learning platform promoting electronic personal health record competence: a pilot trial in older adults

BACKGROUND

Electronic personal health records (ePHRs) play a key role in the digitalization of healthcare, but older adults, often less familiar with digital tools, face access challenges. This study assesses the effects of an interactive, microlearning-based e-learning platform on improving older adults' ePHR competencies.

METHODS

To examine the effects of e-learning platform use on competencies, a pilot trial was conducted with two study groups. One group consisted of young-old adults (YOA) aged 50 to 64 years, and the other of older adults (OA) aged 65 years and older. Participants were recruited via senior organizations and facilities, newsletters and an internal database. Both groups used the learning platform for one week. Participants' ePHR knowledge (12-item questionnaire) and usage skills (completion time for three ePHR tasks) were measured pre- and post-intervention on site. The intention to use (ITU) the ePHR was surveyed using a Technology Usage Inventory subscale. The usability of the platform was assessed using the System Usability Scale.

RESULTS

Twenty-eight participants (mean age YOA = 56.86, OA = 75.15 years) completed the study, with more women in both groups (YOA: 78.57%, OA: 57.14%). Knowledge improved significantly in both groups: OA increased their median correct answers from 7.00 to 9.00 (p = .019, r = .63), YOA increased from 7.00 to 10.00 (p = .001, r = .86). Median task completion times also decreased for both groups: OA from 746.50 to 539.00 s (p = .002, r = .82), YOA from 487.00 to 351.00 s (p = .012, r = .67). There were no significant differences between groups in terms of knowledge (p = .125) or skill acquisition (p = .144). Across the entire population, median ITU scores decreased from 282.00 to 262.00 (p = .038, r = .39), indicating a reduced intention to use the ePHR, though no changes were observed within groups. The platform's usability scored a mean of 64.04, suggesting high marginal usability.

CONCLUSION

Both OA and YOA improved their ePHR competencies after using the learning platform, with no significant differences between groups. The findings suggest that e-learning can enhance ePHR competence in older adults, though improvements in platform usability are needed for wider application in future studies.

TRIAL REGISTRATION

German Clinical Trials Register (registration number: DRKS00031730), registered on 20/04/2023-prospectively registered.

Association of Health Information Literacy and Health Outcomes Among Individuals with Type 2 Diabetes and Metabolic Syndrome

Objectives: Based on social cognitive theory, this study aims to explore the associated factors of and whether and how health information literacy was correlated to health behavior and glycemic control among individuals with type 2 diabetes and metabolic syndrome. Methods: Following convenient sampling, this cross-sectional, correlational study was conducted among 225 patients with type 2 diabetes and metabolic syndrome from an outpatient clinic in a suburban area of Beijing, China. Hierarchical multiple regression and mediation analysis were performed to explore the effect of health information literacy on self-management practice and hemoglobin A1c in this sample. The STROBE guidelines for cross-sectional studies were followed. Results: The findings showed incompetent health information literacy, inadequate self-management behavior, and suboptimal glycemic control in a sample of patients with type 2 diabetes and metabolic syndrome. Based on social cognitive theory, the results of regression analysis indicated that self-management attitude, health problem-solving, and chronic illness resources were correlated with self-management practice, and health problem-solving and health information evaluation were correlated with hemoglobin A1c. Mediation analysis revealed that self-management attitude, health problem-solving, and chronic disease resources fully mediated the effect of health information literacy on self-management practice. There was an indirect effect of health information literacy on hemoglobin A1c through health problem-solving. Conclusions: The findings demonstrated that health information literacy has significant indirect and direct effects on self-management behavior and glycemic control through self-management attitude, health problem-solving, and chronic disease resources in a sample of patients with type 2 diabetes and metabolic syndrome.

Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, and societal challenges. Key concerns include data privacy risks, algorithmic bias, and regulatory gaps that struggle to keep pace with AI advancements. This study aims to synthesize a multidisciplinary framework for trustworthy AI in healthcare, focusing on transparency, accountability, fairness, sustainability, and global collaboration. It moves beyond high-level ethical discussions to provide actionable strategies for implementing trustworthy AI in clinical contexts. Methods: A structured literature review was conducted using PubMed, Scopus, and Web of Science. Studies were selected based on relevance to AI ethics, governance, and policy in healthcare, prioritizing peer-reviewed articles, policy analyses, case studies, and ethical guidelines from authoritative sources published within the last decade. The conceptual approach integrates perspectives from clinicians, ethicists, policymakers, and technologists, offering a holistic "ecosystem" view of AI. No clinical trials or patient-level interventions were conducted. Results: The analysis identifies key gaps in current AI governance and introduces the Regulatory Genome-an adaptive AI oversight framework aligned with global policy trends and Sustainable Development Goals. It introduces quantifiable trustworthiness metrics, a comparative analysis of AI categories for clinical applications, and bias mitigation strategies. Additionally, it presents interdisciplinary policy recommendations for aligning AI deployment with ethical, regulatory, and environmental sustainability goals. This study emphasizes measurable standards, multi-stakeholder engagement strategies, and global partnerships to ensure that future AI innovations meet ethical and practical healthcare needs. Conclusions: Trustworthy AI in healthcare requires more than technical advancements-it demands robust ethical safeguards, proactive regulation, and continuous collaboration. By adopting the recommended roadmap, stakeholders can foster responsible innovation, improve patient outcomes, and maintain public trust in AI-driven healthcare.

Measuring Digital Health Literacy in Older Adults: Development and Validation Study

BACKGROUND

New health care services such as smart health care and digital therapeutics have greatly expanded. To effectively use these services, digital health literacy skills, involving the use of digital devices to explore and understand health information, are important. Older adults, requiring consistent health management highlight the need for enhanced digital health literacy skills. To address this issue, it is imperative to develop methods to assess older adults' digital health literacy levels.

OBJECTIVE

This study aimed to develop a tool to measure digital health literacy. To this end, it reviewed existing literature to identify the components of digital health literacy, drafted preliminary items, and developed a scale using a representative sample.

METHODS

We conducted a primary survey targeting 600 adults aged 55-75 years and performed an exploratory factor analysis on 74 preliminary items. Items with low factor loadings were removed, and their contents were modified to enhance their validity. Then, we conducted a secondary survey with 400 participants to perform exploratory and confirmatory factor analyses.

RESULTS

A digital health literacy scale consisting of 25 items was developed, comprising 4 subfactors: use of digital devices, understanding health information, use and decision regarding health information, and use intention. The model fit indices indicated excellent structural validity (Tucker-Lewis Index=0.924, comparative fit index=0.916, root-mean-square error of approximation=0.088, standardized root-mean-square residual=0.044). High convergent validity (average variance extracted>0.5) and reliability (composite reliability>0.7) were observed within each factor. Discriminant validity was also confirmed as the square root of the average variance extracted was greater than the correlation coefficients between the factors. This scale demonstrates high reliability and excellent structural validity.

CONCLUSIONS

This study is a significant first step toward enhancing digital health literacy among older adults by developing an appropriate tool for measuring digital health literacy. We expect this study to contribute to the future provision of tailored education and treatment based on individual literacy levels.

Effectiveness of eHealth literacy interventions: a systematic review and meta-analysis of experimental studies

BACKGROUND

eHealth Literacy (eHL) is a set of competencies and skills encompassing the knowledge, comfort and perceived ability to identify, evaluate and apply electronic health information to health problems. Given its role in the appropriate use of health technologies, ensuring equitable access to health information and improving patient outcomes, this study aims to systematically retrieve, qualitatively and quantitative pool and critically appraise available experimental evidence on the effectiveness of eHL interventions across different population groups.

METHODS

Following the PRISMA guidelines, we conducted a systematic review in PubMed/Medline, Scopus, Web of Science, Embase, Cochrane Library and ClinicalTrials.gov, including original experimental studies quantifying the effectiveness of interventions aimed at increasing eHL, as assessed by the eHealth Literacy Scale (eHEALS) or other validated scales. We performed a random-effects model meta-analysis comparing changes in eHL levels before and after the interventions, and between the intervention and control groups. Heterogeneity was assessed using I2 statistics.

RESULTS

Out of the 504 studies retrieved, 15 studies conducted between 2011 and 2023 met the inclusion criteria. Target populations of eHL interventions included adults in 7 studies, older people in 5 and young people in 4. The meta-analysis included 10 studies that used the eHEALS. Participants showed a mean increase in eHEALS scores of 5.81 points (95% CI = 3.36-8.26, N = 1025) following the eHL interventions compared to the pre-intervention period. In the analysis between the intervention and control groups, we found a statistically significant difference in eHL improvement in favour of the intervention group, with mean eHEALS scores 3.62 points (95% CI = 1.63-5.60, N = 1258) higher in the intervention group than in the control groups. Subgroup analyses by intervention type, stratified by Collaborative Learning (CL) or Individualistic Learning (IL) showed significant increases in eHealth Literacy in the pre-post intervention analysis (CL: UMD = 5.19, CI = 0.01-10.38, N = 402; IL: UMD = 6.05; CI = 3.14-8.97, N = 623) and in the intervention vs. control analysis in the IL group (DMD = 4.98; CI = 1.77-8.12, N = 540).

CONCLUSIONS

Our findings support the effectiveness of tailored interventions in significantly enhancing eHL, providing key insights for evidence-based intervention design targeted to different population groups.

eHealth literacy in the general population: a cross-sectional study in China

BACKGROUND

eHealth literacy (eHL) is positively associated with health-related behaviors and outcomes. Previous eHL studies primarily collected data from online users and seldom focused on the general population in low- and middle-income countries (LMIC). Additionally, knowledge about factors that affect eHL is limited. Chronic lung disease (CLD) has brought a large burden in LMIC, making it a relevant example for studying eHL. This study aims to explore eHL and its associated factors within the general population of China, encompassing sociodemographic characteristics, CLD knowledge, digital access, eHealth use and attitudes towards eHealth.

METHOD

Data were collected from November 2023 to January 2024 via online and hard-copy questionnaires among the general population in China. Descriptive analyses were performed to explore eHL, CLD knowledge, digital access, and attitudes towards eHealth at different sociodemographic levels. Univariable and multivariable regression analyses were performed to identify factors associated with eHL.

RESULTS

439 valid questionnaires were collected. Participants demonstrated a mean eHL of 24.7 ± 8.2 and CLD knowledge of 5.9 ± 3.7, obtained a score of 6.9 ± 1.8 in attitudes towards eHealth. A notable percentage of participants (45/439, 10.3%) reported no digital access, especially those aged 66+, the unemployed, retired, those with a primary school or below degree and earning ≤ 1500 RMB monthly. Multivariable hierarchical regression analysis showed higher eHL was uniquely associated with younger age (b=-0.10, P < .001), higher educational level (b = 2.02, P < .001), higher income (b = 1.10, P < .001), having digital access (b = 6.35, P < .001), more frequent eHealth use (b = 1.14, P < .001), and more positive attitudes towards eHealth (b = 0.47, P = .003).

CONCLUSION

Our sample from the general population in China had a relatively low eHL and CLD knowledge level, but held a positive attitudes towards eHealth. A digital divide was noticed between the elderly, low socioeconomic population and other groups. Younger age, higher educational and income level, having digital access, more frequent eHealth use and more positive attitudes towards eHealth were significantly associated with higher eHL. Efforts at both individual and systematic levels should be made to improve eHL, and promote CLD knowledge and digital access, especially in disadvantaged populations. Moreover, there is a pressing need to develop and refine national and international standards for eHL.

Support in digital health skill development for vulnerable groups in a public library setting: perspectives of trainers

Introduction

The digitalization of healthcare poses a risk of exacerbating health inequalities. Dutch public libraries offer freely accessible e-health courses given by trainers. However, there is limited knowledge on whether these libraries successfully reach and support those in need. This study aimed to explore trainers' perspectives on the challenges, successes, and potential improvements in digital health skill education in a library setting.

Materials and methods

Trainers of the e-health course were interviewed. Topics included: the role of the library in digital health skills education, the successes and challenges in reaching groups with a low socioeconomic position, the perceived impact of the digital health skills education, and strategies for future improvement in digital health skills education. A deductive analysis based upon the interview guide topics was performed. A second inductive analysis was applied to identify underlying patterns. Coding was done independently and cross-checked. Codebooks and themes were determined in discussion with authors.

Results

Three themes emerged. 1) Trainers' services, skills and expertise: Trainers identified older adults, youth, people with low (digital) literacy, the unemployed, and people from non-native cultural backgrounds as the groups most in need of support. Trainers felt equipped to address these groups' needs. 2) The libraries' reach: improving engagement, perceived accessibility, and clients' barriers: Despite trainers' efforts to adjust the course to the target groups' level of commitment, digital and literacy levels, and logistics, the digital health course predominantly engages older adults. Experienced barriers in reach: limited perceived accessibility of the public library and clients' personal barriers. 3) Collaborations with healthcare, welfare and community organizations: Trainers emphasized that collaborations could enhance the diversity and number of participants. Current partnerships provided: reach to target groups, teaching locations, and referral of clients.

Discussion

Trainers in public libraries recognize a various target groups that need support in digital health skill development. The study identified three challenges: accessibility of the digital health course, reach of the public library, and clients' personal barriers. Public libraries have potential to support their target groups but need strategies to improve their engagement and reach. Collaborations with healthcare, welfare, and community organizations are essential to improve their reach to those most in need of support.

Translation and psychometric evaluation of the Traditional Chinese eHealth Literacy Scale among adults with type 2 diabetes in Taiwan: A cross-sectional study

Introduction

The rise in online health information access has shifted health-seeking behaviors, yet a validated tool to assess eHealth literacy for the Taiwanese context remains unavailable. This study aimed to translate the eHealth Literacy Scale (eHEALS) into Traditional Chinese and validate its factor structure and reliability among individuals with type 2 diabetes (T2D).

Methods

The original 8-item eHEALS was translated into Traditional Chinese (eHEALS-TC) using forward and backward translation techniques, with input from four experts in pharmacy practice and educational psychology. A cross-sectional study was conducted to examine the validity and reliability of the eHEALS-TC in adults with T2D who were taking diabetes medication. Participants were recruited from five community pharmacies in Taiwan between June 2023 and May 2024. The internal consistency of the eHEALS-TC was assessed using McDonald's omega (ω), while construct validity was evaluated through exploratory factor analysis. Criterion validity was determined by exploring the correlation between the mean total eHEALS-TC score and demographic factors, self-efficacy, health status, medication adherence, and A1C levels.

Results

A total of 273 patients participated in the study. Exploratory factor analysis revealed that all eHEALS-TC items were loaded onto a single factor, accounting for 84.95% of the total variance. The internal consistency reliability yielded a McDonald's ω of 0.974. The mean total eHEALS-TC score was positively associated with younger age (r = .382, P < .001), higher education attainment (r s = .525, P < .001), greater household income (r s = .359, P < .001), better self-reported health status (r s = .191, P = .002), stronger self-efficacy in medication use (r = .167, P = .006), and fewer barriers to medication-taking (r = .143, P = .018). However, no association was found between the mean total eHEALS-TC score and A1C levels (r = .048, P = .427).

Conclusions

The findings provide empirical evidence supporting the validity, reliability, and efficiency of the eHEALS-TC as a tool for assessing eHealth literacy among individuals with varying demographics and health conditions in Taiwan.

Preferences of community-dwelling older adults with multimorbidity for digital empowerment interventions: Protocol for a discrete choice experiment study

Introduction

The development of digital health technologies has had a positive impact on the management of comorbidity in the elderly. At the same time, it also sets certain requirements for the digital health literacy of older adults. To effectively implement interventions that improve digital health literacy among older adults with multimorbidity, it is essential to involve patients in decision-making processes and to develop interventions that align with their preferences.

Methods and analysis

This study will use Discrete choice experiment to investigate the needs and preferences of older adults with multimorbidity for digital health literacy intervention. Attributes were identified through a literature review, in-depth interviews, and expert consultation. The attributes are intervention provider, content, type, frequency, material, learning mode, supplementary services, and cost. According to the identified attributes and levels, the choice set questionnaires were generated using Stata software. Furthermore, the study will assess the impact of demographic factors, social support, self-efficacy, levels of digital health literacy, and technology anxiety on the selection of preferences. A mixed logic model will analyze respondents'preferences for different intervention attributes and levels. A latent class model will identify heterogeneous group preferences.

Results

We anticipate a minimum of 300 older adults with multimorbidity in community enrolling and completing data collection. Study results will be published in peer-reviewed scientific journals.

Conclusions

The collection and analysis of patient preference information will greatly improve the accuracy and effectiveness of digital health literacy interventions in the development, adoption, and economic evaluation.

The Effectiveness of eHealth Interventions in Promoting the Health Literacy of Informal Caregivers: A Systematic Literature Review Protocol

BACKGROUND

Digital Information and Communication Technologies (ICTs) offer significant opportunities to enhance public health, particularly through their strategic use in promoting health literacy.

OBJECTIVES

This systematic review protocol aims to outline the methodological steps necessary to conduct a systematic review of the effectiveness of digital interventions in improving health literacy among informal caregivers.

METHODS

This review will include studies involving adult informal caregivers (≥18 years) undergoing a digital health intervention promoting health literacy. Intervention, effectiveness or efficacy, RCT, quasi-experimental, and observational studies will be eligible. This review will follow the methodology for Cochrane Systematic Review and Meta-Analysis. The search strategy will identify studies published in the databases SCOPUS and Web of Science, as well as CINAHL (via EBSCO) and PubMed and gray literature sources. Two in-dependent reviewers will screen the studies, extract data, and critically appraise the selected studies. It is planned that the risk of bias will be assessed using the RoB2, Newcastle-Ottawa Scale (NOS), and the ROBINS-I (Risk Of Bias In Non-randomized Studies of Interventions). From the included studies, data will be extracted on the identification of the study, the aim of the study, characteristics of the population, study method and intervention and control conditions, study variables, and significant results.

CONCLUSIONS

It is anticipated that the results of the study will guide healthcare professionals and managers in incorporating digital technologies into health literacy programs for informal caregivers. Whenever possible, a statistical meta-analysis will be performed to combine study results. The PROSPERO registration number is CRD42024589465.

The level of electronic health literacy among older adults: a systematic review and meta-analysis

BACKGROUND

In the context of deeper integration of the internet and healthcare services, eHealth literacy levels have become an important predictor of public health outcomes and health-promoting behaviors. However, there is a lack of comprehensive understanding of eHealth literacy levels among older adults.

OBJECTIVE

To systematically assess the level of eHealth literacy among older adults.

METHODS

We conducted searches in MEDLINE, Embase, Web of Science, CINAHL, PsycINFO, China National Knowledge Infrastructure Database (CNKI), Wanfang Database, Weipu Database (VIP), and Chinese Biomedical Database (Sinomed) to collect survey studies on the eHealth literacy levels of the older adults, with a search timeframe from the establishment of the database to May 2024. The quality of the included literature was assessed using the Agency for Healthcare Research and Quality (AHRQ) and the Newcastle-Ottawa Scale (NOS). Additionally, subgroup analysis and meta-regression were conducted to detect sources of heterogeneity. Funnel plots and Egger's test were used to assess publication bias.

RESULTS

A total of 48 relevant studies were included, including 45 cross-sectional, 2 cohort studies and 1 longitudinal study, comprising 33,919 older adults. The quality of the studies was all above moderate, with 10 high-quality publications. Meta-integration results showed that the eHealth literacy score of older adults was 21.45 (95% CI:19.81-23.08). Subgroup analysis showed that among the elderly population, females had lower eHealth literacy at 19.13 (95% CI:15.83-22.42), those aged 80 years and older had lower eHealth literacy at 16.55 (95% CI:11.73-21.38), and elderly individuals without a spouse and living alone had even lower eHealth literacy at 18.88 (95% CI:15.71-22.04) and 16.03 (95% CI:16.51-21.79). Based on region, eHealth literacy was lower among older adults in developing countries at 20.71 (95% CI:18.95-22.48). Meta-regression results indicate that sample size and region can significantly impact heterogeneity.

CONCLUSION

Our results found that the average eHealth literacy score of the elderly was 21.45, which was much lower than the passing level (≥ 32), suggesting that more attention should be paid to the eHealth literacy aspect of the elderly. Meanwhile, due to the limitation of the literature sources, the global representativeness of the results of this study still needs to be supported by more research data from other countries.

Uptake and engagement of a clinically moderated digital peer support platform to support the mental well-being older adults: a qualitative investigation

BACKGROUND

The uptake of traditional mental health services among older adults remains low. Digital peer support offers older adults a resource for engaging with others to independently support their mental well-being. This qualitative study explored the uptake and engagement of a clinically moderated digital peer support platform (Breathing Space) for older adults with depressive symptoms and alcohol use concerns.

METHODS

Semi-structured interviews with 30 participants aged 60-80 years explored participants' uptake and engagement with Breathing Space, a novel, moderated, private, and anonymous peer support platform. Data were analysed using reflective thematic analysis and are discussed with reference to the Unified Theory of Acceptance and Use of Technology2.

RESULTS

Three themes were constructed to characterize participants' experiences: (i) navigating the complexities of peer-peer online engagement; (ii) the function of anonymity in online connection; and (iii) experiences of app features and content.

CONCLUSIONS

Future development of digital peer support for older adults would benefit from the following: (i) co-design with older adults; (ii) providing choice over anonymity and increased options for interacting with peers; (iii) streamlining the basic functionality with popular platforms; (iv) providing options for users to curate their digital experience; and (v) providing telephone support for troubleshooting technical difficulties. Future research should explore the use of digital peer support among older adults who experience social exclusion challenges.

Improving the eHealth literacy of older adults: A scoping review

The World Health Organization stresses eHealth literacy's importance for effective health management, particularly among older adults, whose eHealth literacy is globally low and unequal. This scoping review aims to identify strategies to enhance their eHealth literacy. A literature search was performed in eight electronic databases until February 20, 2024, found 1629 records, with 24 meeting inclusion criteria. Most studies (8 of 17, 47.1 %) employed health behavior and learning theories. Interventions materials commonly utilized existing or self-designed websites or applications, with some U.S. studies incorporating standardized training materials. Outcome measures included information, psychological motivation, and behavioral change. The eHealth literacy scale was frequently used to assess eHealth literacy. Coach education combined with classroom exercises proved effective, and online health education was pivotal during the COVID-19 pandemic. Future research should focus on enhancing study design, utilizing comprehensive but concise assessment tools, tailoring interventions to theoretical frameworks, and prioritizing privacy and security.

Exploring Social Support Strategies and Socio-Cultural Factors Influencing Social Isolation and Loneliness: The Role of Digital Literacy

BACKGROUND/OBJECTIVES

Social isolation (SI) and loneliness (L) are the long-standing critical concerns impacting the mental well-being of older adults. The COVID-19 pandemic has exacerbated existing vulnerabilities, leading to a notable rise in perceived social isolation (PSI) and its associated risks among an aging population. Reportedly, nearly 35% of older Americans felt lonely before the pandemic, with the pandemic further intensifying these feelings. This commentary examines the multifaceted factors contributing to PSI, including demographic and socio-economic characteristics.

METHODS

We outline the health risks associated with PSI, including cardiovascular diseases and mental health conditions.

RESULTS

This commentary addresses the potential of information and communication technology (ICT) to alleviate loneliness, despite significant barriers such as the digital divide and technological anxiety among older adults.

CONCLUSIONS

This commentary advocates targeted digital literacy interventions and theoretical frameworks to enhance technology adoption and mitigate PSI, ultimately aiming to improve health outcomes and quality of life for the aging population.

The mediating impact of exercise frequency and duration on the relationship between digital health literacy and health among older adults: A cross-sectional study

Although several studies have discussed the relationships among digital health literacy, health, and exercise behavior, few have integrated these 3 factors into a single model. This study aims to address this research gap. This article aims to analyze the impact of digital health literacy on the health of older adults, as well as the mediating mechanisms related to exercise frequency and duration. A cross-sectional survey was conducted in Luoyang and Zhengzhou urban areas from December 2023 to January 2024. Utilizing random sampling methods, data were collected from 661 older adults through the "digital health literacy scale," "health scale," and "count of exercise duration and frequency" questionnaires. The data were processed by employing SPSS 20 and Process, v3.0, and analyzed through independent samples t test, 1-way ANOVA (F-test), and mediation testing methods. The results indicate that no statistical significance (P > .05) is observed in terms of the 3 dimensions of digital health literacy, exercise behavior, and health status among older adults with different genders, living conditions, educational backgrounds, and economic status. In contrast, statistical significance (P < .05) is observed in terms of exercise frequency and health status among older adults with varying levels of smoking and drinking. The 3 dimensions of digital health literacy among older adults statistically impact (P < .05) their exercise duration, frequency, and health. The dimension of access and assessment exerts the most significant influence on exercise duration (β = 0.415) and a considerable impact on health (β = 0.214). Furthermore, the impact of exercise duration and frequency on health status is statistically significant (P < .05). In terms of the interactive capability dimension, exercise frequency exerts the most significant influence (β = 0.199). Digital health literacy has a significant impact on the health of older adults. The duration and frequency of exercise play a partial mediating role between older adults' digital health literacy and their physical health status. Digital health literacy can encourage older adults to increase the duration and frequency of exercise, which, in turn, promotes their physical health.

Get Health'e': A Pilot Test of a Digital Health Literacy Intervention for Young Adults

BACKGROUND

Young adults face a number of health concerns and are typically beginning to manage their health on their own. At the same time, this age group is more connected to digital technology than ever before, and studies show that young adults can struggle with digital health literacy skills.

OBJECTIVE

The online Get Health'e' Program consists of six modules addressing digital health literacy skills, including topics such as internet searches and social media. This study evaluates the program based on a usability and pilot study.

METHODS

Recruited participants ranged in age from 18 to 24 years and were predominantly White women. After an eligibility screening, half of the participants were randomly assigned to the program group. All 131 participants were administered two surveys, 2 weeks apart; the program group had access to the program for that week. Survey questions included demographics, the eHealth Literacy Scale (eHEALS), and six sets of five multiple-choice questions assessing digital health knowledge.

KEY RESULTS

Both groups showed an improvement of 1.0 points on the eHEALS scale, but a repeated measures analysis comparing scores for the program and control groups indicated no significant difference in score improvement between the two groups, F(1, 129) = 0.003, p = .96. The program group had an average improvement in quiz scores (from pre to post) from 1.6 to 2.3 which was better than score improvement in the control group across the six modules. The majority of participants in the program group found the program to be useful (67.2%) and informative (59.4%), and 93.8% said they would recommend it to someone they know.

CONCLUSIONS

The Get Health'e' program was well received by participants and led to an increase in digital health knowledge. Programs like this have the potential to raise awareness among youth about how to access and evaluate health information online. [HLRP: Health Literacy Research and Practice. 2024;8(4):e224-e235.].

Digital Health Literacy and Its Association With Sociodemographic Characteristics, Health Resource Use, and Health Outcomes: Rapid Review

BACKGROUND

Digital health literacy has emerged as a critical skill set to navigate the digital age.

OBJECTIVE

This review sought to broadly summarize the literature on associations between digital health literacy and (1) sociodemographic characteristics, (2) health resource use, and (3) health outcomes in the general population, patient groups, or parent or caregiver groups.

METHODS

A rapid review of literature published between January 2016 and May 2022 was conducted through a search of 4 web-based databases. Articles were included on the basis of the following keywords: "measured digital health literacy," "digital literacy," "ehealth literacy," "e-health literacy," "electronic health literacy," or "internet health literacy" in adult populations; participants were from countries where English was the primary language; studies had to be cross-sectional, longitudinal, prospective, or retrospective, and published in English.

RESULTS

Thirty-six articles met the inclusion criteria. Evidence on the associations between digital health literacy and sociodemographic characteristics varied (27/36, 75% included studies), with higher education (16/21, 76.2% studies that examined the association) and younger age (12/21, 57.1% studies) tending to predict higher digital health literacy; however, other studies found no associations. No differences between genders were found across the majority of studies. Evidence across ethnic groups was too limited to draw conclusions; some studies showed that those from racial and ethnic minority groups had higher digital health literacy than White individuals, while other studies showed no associations. Higher digital health literacy was associated with digital health resource use in the majority of studies (20/36, 55.6%) that examined this relationship. In addition, higher digital health literacy was also associated with health outcomes across 3 areas (psychosocial outcomes; chronic disease and health management behaviors; and physical outcomes) across 17 included studies (17/36, 47.2%) that explored these relationships. However, not all studies on the relationship among digital health literacy and health resource use and health outcomes were in the expected direction.

CONCLUSIONS

The review presents mixed results regarding the relationship between digital health literacy and sociodemographic characteristics, although studies broadly found that increased digital health literacy was positively associated with improved health outcomes and behaviors. Further investigations of digital health literacy on chronic disease outcomes are needed, particularly across diverse groups. Empowering individuals with the skills to critically access and appraise reliable health information on digital platforms and devices is critical, given emerging evidence that suggests that those with low digital health literacy seek health information from unreliable sources. Identifying cost-effective strategies to rapidly assess and enhance digital health literacy capacities across community settings thus warrants continued investigation.

Patient motivation as a predictor of digital health intervention effects: A meta-epidemiological study of cancer trials

The objective of this meta-epidemiological study was to develop a rating that captures participants' motivation at the study level in digital health intervention (DHI) randomised controlled trials (RCTs). The rating was used to investigate whether participants' motivation is associated with the effect estimates in DHI RCTs for cancer patients. The development of the rating was based on a bottom-up approach involving the collection of information that captures participants' baseline motivation in empirical studies from the Smartphone-RCCT Database. We specified three indicators for rating: indicator 1 captures whether the study team actively selects or enhances the motivation of the potential study participants; indicator 2 captures the study participants' active engagement before the treatment allocation; and indicator 3 captures the potential bond and trust between the study participants and the person/institution referring to the study. The rating of each indicator and the overall rating varies between high motivation, moderate motivation, and low motivation. We applied the rating across 27 DHI RCTs with cancer patients. We performed meta-regression analysis to examine the effect of patient motivation on quality of life (QoL), psychological outcomes, and attrition. The intraclass correlation coefficient (ICC) indicated moderate to poor inter-rater reliability. The meta-regression showed that cancer patients' overall motivation before engaging in the intervention was associated with the treatment effect of QoL. Patient motivation was not found to be associated with psychological outcomes or attrition. Subgroup analyses revealed that the clinical effects of DHIs were more prevalent in the high-motivation subgroups, whereas the low-motivation subgroups were unlikely to show intervention benefits. The likelihood of dropouts from DHIs seems to be especially high among the low-bond (indicator 3) subgroup. We suggest using single indicators since they reflect specific content. Better reporting about baseline motivation is required to enable meaningful interpretations in not only primary studies but also in evidence syntheses.

Electronic Health Literacy as a Source of Self-Efficacy Among Community-Dwelling Older Adults

OBJECTIVES

Health-related factors, such as health status, health anxiety, and health literacy, are established contributors to self-efficacy. However, the relationship between electronic health literacy and self-efficacy is less known. The present study examined the role of electronic health literacy in relation to self-efficacy among community-dwelling older adults.

METHODS

Cross-sectional survey data were collected in the United States between September 2022 and March 2023. The survey dataset consisted of 191 responses from individuals in the United States who were ages 65 or older. It provided information about survey respondents' sociodemographic status, perceived health status, health anxiety, electronic health literacy, and self-efficacy. Hierarchical linear regression was conducted to analyze the data.

RESULTS

Electronic health literacy was positively related to self-efficacy, and health anxiety was negatively related to self-efficacy, with sociodemographic status and perceived health status controlled.

CONCLUSIONS

The results indicate that electronic health literacy can be a source of self-efficacy among community-dwelling older adults.

CLINICAL IMPLICATIONS

Improving older adults' electronic health literacy may help them maintain self-efficacy, and the improvement should be made, especially in the domains of evaluating health information found on the internet and making decisions based on the information.

Serbian Version of the eHealth Literacy Questionnaire (eHLQ): Translation, Cultural Adaptation, and Validation Study Among Primary Health Care Users

BACKGROUND

As digital health services are increasingly developing and becoming more interactive in Serbia, a comprehensive instrument for measuring eHealth literacy (EHL) is needed.

OBJECTIVE

This study aimed to translate, culturally adapt, and investigate the psychometric properties of the Serbian version of the eHealth Literacy Questionnaire (eHLQ); to evaluate EHL in the population of primary health care (PHC) users in Serbia; and to explore factors associated with their EHL.

METHODS

The validation study was conducted in 8 PHC centers in the territory of the Mačva district in Western Serbia. A stratified sampling method was used to obtain a representative sample. The Translation Integrity Procedure was followed to adapt the questionnaire to the Serbian language. The psychometric properties of the Serbian version of the eHLQ were analyzed through the examination of factorial structure, internal consistency, and test-retest reliability. Descriptive statistics were calculated to determine participant characteristics. Differences between groups were tested by the 2-tailed Students t test and ANOVA. Univariable and multivariable linear regression analyses were used to determine factors related to EHL.

RESULTS

A total of 475 PHC users were enrolled. The mean age was 51.0 (SD 17.3; range 19-94) years, and most participants were female (328/475, 69.1%). Confirmatory factor analysis validated the 7-factor structure of the questionnaire. Values for incremental fit index (0.96) and comparative fit index (0.95) were above the cutoff of ≥0.95. The root mean square error of approximation value of 0.05 was below the suggested value of ≤0.06. Cronbach α of the entire scale was 0.95, indicating excellent scale reliability, with Cronbach α ranging from 0.81 to 0.90 for domains. The intraclass correlation coefficient ranged from 0.63 to 0.82, indicating moderate to good test-retest reliability. The highest EHL mean scores were obtained for the understanding of health concepts and language (mean 2.86, SD 0.32) and feel safe and in control (mean 2.89, SD 0.33) domains. Statistically significant differences (all P<.05) for all 7 eHLQ scores were observed for age, education, perceived material status, perceived health status, searching for health information on the internet, and occupation (except domain 4). In multivariable regression models, searching for health information on the internet and being aged younger than 65 years were associated with higher values of all domain scores except the domain feel safe and in control for variable age.

CONCLUSIONS

This study demonstrates that the Serbian version of the eHLQ can be a useful tool in the measurement of EHL and in the planning of digital health interventions at the population and individual level due to its strong psychometric properties in the Serbian context.

Validation of the digital health literacy assessment among the university students in China

PURPOSE

With the development of the internet, digital health literacy (DHL) has become increasingly important for managing health. Consequently, various digital health literacy scales have been created for different groups. The purpose of this study was to verify the reliability and validity of the simplified Chinese version of the Digital Health Literacy Assessment (DHLA) scale among university students in China.

METHOD

Snowball sampling was used to recruit the participants via an online platform (Wenjuan.com), and finally 304 university students were included in the survey. Demographic information and the status of DHL were collected through the online questionnaire. Cronbach's alpha and split-half reliability were used to test the internal consistency of the scale, while the structural validity was verified by exploratory factor analysis and confirmatory factor analysis. Additionally, the convergence of the scale was tested by composite reliability (CR) and average variance extracted (AVE).

RESULT

Two dimensions were generated from 10 entries in the scale, named Self-rated Digital Health Literacy and Trust Degree of Online Health Information, respectively. The Cronbach's alpha and split-half reliability of the total scale were 0.912 and 0.828, while the Cronbach's alpha of the two dimensions were 0.913 and 0.830, respectively. The structural validity-related indexes of the scale met the standards (RMSEA = 0.079, GFI = 0.943, AGFI = 0.902, CFI = 0.971). In each dimension, the CR and AVE also reached critical values (CR > 0.7 and AVE > 0.5).

CONCLUSION

The scale had high reliability and validity, indicating the simplified Chinese DHLA scale could be used to evaluate the DHL of university students in China.

Patients and healthcare practitioners' perspective on the development of a digital interprofessional intervention for COPD

Background

Chronic obstructive pulmonary disease (COPD) patients often have poor health literacy, leading to non-adherence to treatment and poor inhalation technique. Technological solutions can help manage COPD, but adherence tends to be low due to various factors.

Objectives and Methods

We conducted a qualitative study to determine the needs of COPD patients and healthcare practitioners (HCPs) towards a mobile application and a web platform. We also aimed to identify potential barriers or facilitators to the use of such digital tools and their potential impact, and to assess the current state of collaboration between healthcare practitioners.

Results

Our study found that COPD patients face difficulties in managing the disease and treatments, lack information and need easier contact with caregivers. Patients' needs include access to reliable information about COPD, its medical treatments and smoking cessation, help in maintaining good physical condition through adapted exercises, incentives and reminders, and crisis management protocols or a logbook. As patient needs can differ, it would be ideal if the mobile application could be customized. HCPs cite patient adherence, correct intake of the treatment, communication and lack of patient motivation as challenges. In particular, they would like to have access to information on patient follow-up and logbooks, as well as scientific documentation. They believe that interprofessional collaboration is essential for good patient care. However, lack of time is a major hurdle in optimizing this collaboration.

Conclusion

Our study showed that most patients and HCPs view a technological platform positively to support the care of COPD patients and promote interprofessional collaboration.

Smartphone App-Based and Paper-Based Patient-Reported Outcomes Using a Disease-Specific Questionnaire for Dry Eye Disease: Randomized Crossover Equivalence Study

BACKGROUND

Using traditional patient-reported outcomes (PROs), such as paper-based questionnaires, is cumbersome in the era of web-based medical consultation and telemedicine. Electronic PROs may reduce the burden on patients if implemented widely. Considering promising reports of DryEyeRhythm, our in-house mHealth smartphone app for investigating dry eye disease (DED) and the electronic and paper-based Ocular Surface Disease Index (OSDI) should be evaluated and compared to determine their equivalency.

OBJECTIVE

The purpose of this study is to assess the equivalence between smartphone app-based and paper-based questionnaires for DED.

METHODS

This prospective, nonblinded, randomized crossover study enrolled 34 participants between April 2022 and June 2022 at a university hospital in Japan. The participants were allocated randomly into 2 groups in a 1:1 ratio. The paper-app group initially responded to the paper-based Japanese version of the OSDI (J-OSDI), followed by the app-based J-OSDI. The app-paper group responded to similar questionnaires but in reverse order. We performed an equivalence test based on minimal clinically important differences to assess the equivalence of the J-OSDI total scores between the 2 platforms (paper-based vs app-based). A 95% CI of the mean difference between the J-OSDI total scores within the ±7.0 range between the 2 platforms indicated equivalence. The internal consistency and agreement of the app-based J-OSDI were assessed with Cronbach α coefficients and intraclass correlation coefficient values.

RESULTS

A total of 33 participants were included in this study. The total scores for the app- and paper-based J-OSDI indicated satisfactory equivalence per our study definition (mean difference 1.8, 95% CI -1.4 to 5.0). Moreover, the app-based J-OSDI total score demonstrated good internal consistency and agreement (Cronbach α=.958; intraclass correlation=0.919; 95% CI 0.842 to 0.959) and was significantly correlated with its paper-based counterpart (Pearson correlation=0.932, P<.001).

CONCLUSIONS

This study demonstrated the equivalence of PROs between the app- and paper-based J-OSDI. Implementing the app-based J-OSDI in various scenarios, including telehealth, may have implications for the early diagnosis of DED and longitudinal monitoring of PROs.