Health literacy after traumatic brain injury: characterisation and control comparison

Background Little is known about health literacy in traumatic brain injury (TBI) survivors. The aims of this study were to compare health literacy in individuals with TBI with that of a control group; to examine the association between health literacy in individuals with TBI and demographic, injury, and cognitive factors; and compare the relationship between health literacy and physical and mental health outcomes. Methods A cross-sectional observational study design was used. Adults (≥18years) were recruited from an outpatient research centre in Victoria, Australia. There were 209 participants with a complicated mild to severe TBI at least 1year previously (up to 30years 6months) and 206 control participants. Results Individuals with TBI did not have poorer health literacy than controls (IRR=1.31, P =0.102, CI95% [0.947, 1.812]). Further analysis could not be completed due to the highly skewed Health Literacy Assessment Using Talking Touchscreen Technology - Short Form (Health LiTT-SF) data. Conclusion Health literacy performance in individuals with TBI was not significantly different to controls. Premorbid education may provide a critical cognitive reserve upon which TBI survivors can draw to aid their health literacy. These findings are specific to the Health LiTT-SF measure only and require replication using more comprehensive health literacy measures in culturally diverse samples.

The relationship between risk and prevention awareness of infectious diseases and health literacy among prisoners

OBJECTIVE

This study aimed to explore the intricate relationship between the health literacy and the awareness of risks and prevention awareness of infection disease among prisoners.

STUDY DESIGN

A cross-sectional descriptive study was conducted among 1350 prisoners at an L Type Closed Penal Execution Institution in Turkey, using comprehensive criteria to ensure the inclusion of a diverse participant pool.

METHOD

Data was collected via face-to-face interviews using the "personal information form," "health literacy scale (HLS)," and "communicable diseases risk awareness and protection Scale (CDRAPS)." Both scales exhibited high reliability. Statistical analyses, including Pearson correlation and linear regression, were conducted to evaluate the relationships between the dimensions of these scales.

RESULTS

The study was completed with 1031 prisoners. The participants' mean age was 38.65 with a majority being single (69.2%) and high school graduates (46.3%). A weak positive correlation (r = 0.448, P = 0.000) was observed between the CDRAPS (mean score 135.98 ± 24.00) and the HLS (mean score 89.85 ± 22.30), indicating health literacy explained a 20% variance in communicable diseases risk awareness and prevention. Furthermore, a significant relationship was established considering multiple variables including age, marital and educational status, family health personnel presence, smoking and alcohol use, and comorbidities, showing a combined effect on disease risk awareness and prevention (R2 = 0.203, β = 0.458, P = 0.000).

CONCLUSION

These findings highlight the importance for governments and policy makers to implement preventive and educational programs that are focused on public health, aiming to increase prisoners' health literacy and awareness of infectious diseases.

Psychometric evaluation of the Arabic version of the heart failure-specific health literacy scale in a socio-politically challenged setting

INTRODUCTION

Low levels of formal education among Lebanese people with HF were reported. Additionally, limited discharge education is provided to this population. Therefore, it was necessary to evaluate the health literacy levels among this population following the translation of the heart failure-specific health literacy scale into Arabic and to evaluate its psychometric properties in the Lebanese setting.

METHODS

A cross-sectional design conducted on participants from the community with confirmed cases of heart failure. A research team was trained for data collection. Following securing participants' consents, baseline sociodemographic characteristics and the Arabic version of the heart failure-specific health literacy scale were administered. Data collection took place between June and December 2022. A pilot sample analysis was done to confirm homogeneity between the English and the Arabic versions. Exploratory and confirmatory factor analysis were performed to evaluate content and construct validity of the scale. Cronbach alpha was done to evaluate reliability.

RESULTS

The pilot analysis confirmed homogeneity of the items of the Arabic and English versions of the scale. The final sample of 343 participants was randomly divided to two parts for each of the exploratory factor analysis and confirmatory factor analysis. The mean age was 64 years with the majority being male participants. In terms of exploratory factor analysis, the three subscales of the literacy scale explained 60% of the variance. The best acceptable fit was found on 11 items of the scale after dropping the 10th item from the analysis. The Cronbach alpha of the scale was 0.68.

CONCLUSION

The Arabic version of the heart failure-specific health literacy scale was evaluated to be a valid and reliable tool. Further analysis should be done on the dropped item, and correlations should be done with significant variables such as self-care.

REPORTING METHOD

STROBE checklist.

PATIENT/PUBLIC CONTRIBUTION

No patient/public contribution.

CONTRIBUTION TO THE WIDER GLOBAL COMMUNITY

Participants with heart failure were shown to have low levels of literacy in Lebanon. Additionally, low literacy levels are also common among Lebanese older adults living in high income, Western Countries. Therefore, this valid and reliable scale can be used to evaluate health literacy among people with heart failure in Lebanon and among Lebanese and other Arabic-speaking older adults globally.

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.

Validation of the extended e-health literacy scale: structural validity, construct validity and measurement invariance

BACKGROUND

Given the rapid proliferation and use of online health resources, many of which may be of dubious quality, there is an increasing need to develop electronic health literacy (e-health literacy) skills among the population of internet users. E-health literacy encompasses the skills and abilities needed to access, understand, validate, evaluate, interpret, and apply online health-related information. Measuring e-health literacy has become crucial for developing targeted interventions, assessing their impact, and producing high-quality research findings that can inform health policy and clinical practice, which can lead to improved health outcomes and potentially reducing health inequalities. The scales need to be valid and reliable so that decisions are based on high-quality data. In this regard, the issue of the measurement invariance of scales across different demographic groups has been neglected. This is critical, as assessments should be valid across different sociodemographic groups to avoid bias when comparing them. The aim of this study was to validate the Extended e-health literacy scale (eHEALS-E) on general population and investigate its structural validity and internal consistency, construct validity in terms of convergent and discriminant validity, and examine its measurement invariance across gender, age, education and social status.

METHODS

The data were collected as a part of a national health literacy survey conducted by the Slovenian National Institute of Public Health. For this survey the initial eHEALS-E scale was revised in order to address its limitations and applicability to general population. Based on a nationally representative sample, the final sample for the analysis comprised 1,944 individuals who at least occasionally used one of the various internet services to obtain health-related information. Multiple group confirmatory factor analysis was used to examine the measurement invariance of the scale.

RESULTS

With some adjustments, the measurement model of the revised 6-dimensional eHEALS-E scale demonstrated a good fit to the data (χ2 = 2508, df = 282, RMSEA = 0.064, SRMR = 0.070, CFI = 0.90). The scale had good internal consistency (alpha = 0.89). Although evidence of the scale's convergent and discriminant validity was partially provided, the analysis revealed robust measurement invariance across sociodemographic groups.

CONCLUSIONS

With a minor limitation, the scale ensures an unbiased e-health literacy assessment across different social groups, which is crucial for interventions that aim to reduce health-related social inequalities. This ensures that the interventions derived from the assessment of reality are equally valid and effective for everyone, regardless of their sociodemographic background.

Could nudges reduce health literacy disparities in CVD prevention? An experiment using alternative messages for CVD risk assessment screening

OBJECTIVE

To explore the effect of SMS nudge messages amongst people with varying health literacy on their intention to get a Heart Health Check.

METHODS

A 3 (Initial SMS: scarcity, regret, or control nudge) x 2 (Reminder SMS: social norm or control nudge) factorial design was used in a hypothetical online experiment. 705 participants eligible for Heart Health Checks were recruited. Outcomes included intention to attend a Heart Health Check and psychological responses.

RESULTS

In the control condition, people with lower health literacy had lower behavioural intentions compared to those with higher health literacy (p = .011). Scarcity and regret nudges closed this gap, resulting in similar intention levels for lower and higher health literacy. There was no interactive effect of the reminder nudge and health literacy (p = .724).

CONCLUSION

Scarcity and regret nudge messages closed the health literacy gap in behavioural intentions compared to a control message, while a reminder nudge had limited additional benefit. Health literacy should be considered in behavioural intervention evaluations to ensure health equity is addressed.

PRACTICE IMPLICATIONS

Results informed a national screening program using a universal precautions approach, where messages with higher engagement for lower health literacy groups were used in clinical practice.

eHealth literacy in prostate cancer: A systematic review

OBJECTIVE

This systematic review (PROSPERO ID: CRD42022226375) aimed to identify the eHealth literacy of men with prostate cancer, and their caregivers.

METHODS

8 databases (MEDLINE, SCOPUS, EMBASE, Web Of Science, PsycINFO, ERIC, CINAHL, Cochrane CENTRAL) and grey literature sources (e.g. Google Scholar) were searched from inception to December 2023. Articles were included if assessing eHealth/digital literacy of men with prostate cancer, or their carers', and health outcome associations. Formats such as case reports, and review papers were excluded. Records and full texts underwent independent screening and data extraction. Author disagreements were resolved by discussion. The Mixed Methods Appraisal Tool (MMAT) was used to appraise included literature, with narrative synthesis of results.

RESULTS

21,581 records were retrieved, with 7 articles satisfying inclusion criteria. A heterogenous field was characterised with lack of modern eHealth literacy measurement tools identified. Results suggest novice eHealth literacy using web 1.0 technologies. Non-validated measures of literacy demonstrate mixed results, while health outcome effects limited in scope and reliability.

CONCLUSION

Prostate cancer survivors' eHealth literacy levels is likely novice, and requires further investigation.

PRACTICE IMPLICATIONS

Digital technologies/resources implemented as part of patient communication practices should be vetted for quality, and tailored to patients' eHealth literacy abilities and/or needs.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Shame, health literacy and consent

This paper is particularly concerned with shame, sometimes considered the 'master emotion', and its possible role in affecting the consent process, specifically where that shame relates to the issue of diminished health literacy. We suggest that the absence of exploration of affective issues in general during the consent process is problematic, as emotions commonly impact upon our decision-making process. Experiencing shame in the healthcare environment can have a significant influence on choices related to health and healthcare, and may lead to discussions of possibilities and alternatives being closed off. In the case of impaired health literacy we suggest that it obstructs the narrowing of the epistemic gap between clinician and patient normally achieved through communication and information provision. Health literacy shame prevents acknowledgement of this barrier. The consequence is that it may render consent less effective than it otherwise might have been in protecting the person's autonomy. We propose that the absence of consideration of health literacy shame during the consent process diminishes the possibility of the patient exerting full control over their choices, and thus bodily integrity.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

Predictors of Mental Health Literacy in a Sample of Health Care Major Students: Pilot Evaluation Study

BACKGROUND

The numerous mental health awareness campaigns during the COVID-19 pandemic have shifted our understanding and perception of mental health.

OBJECTIVE

The purpose of this study is to evaluate predictors of mental health literacy (MHL), that is, one's knowledge and beliefs about mental disorders. We evaluate whether digital health literacy, empathy, and mentalizing contribute to MHL.

METHODS

Our sample consisted of 89 health care major students, aged between 17 and 32 years, studying at a university in Lebanon. The Mental Health Literacy Scale for Healthcare Students (MHLS-HS), the eHealth Literacy Questionnaire (eHLQ), the Basic Empathy Scale (BES), and the Reflective Functioning Questionnaire-8 (RFQ-8) were used.

RESULTS

Multiple regression analyses revealed that the Engagement in Own Health subscale of digital health literacy constituted a predictor of MHL. While empathy and mentalizing did not directly predict MHL, they were found to predict components of MHL.

CONCLUSIONS

This is the first study to evaluate digital health literacy, empathy, and mentalizing as predictors of MHL in Lebanon, a country where mental health is still considered taboo. Moreover, this pilot study is the first to provide some support for the predictive role of some digital health literacy subscales on MHL in light of the rise of the digital era following the COVID-19 pandemic.

Exploring the evolution of eHealth in disease management: A bibliometric analysis from 1999 to 2023

Objective

In the digital age, eHealth is vital in modern healthcare, impacting medical services and public health. Despite its potential in disease management, a comprehensive bibliometric analysis is lacking. This study utilizes bibliometric methods to explore the evolution of eHealth in disease management from 1999 to 2023, aiming to discern the research status and trends.

Methods

A literature search was conducted using the Web of Science Core Collection (WOSCC) database. Publications and journals were quantitatively analyzed using Microsoft Office Excel 2023. Country/institution/author collaborations and keyword co-occurrences were analyzed using VOSviewer. CiteSpace was employed to analyze the citation bursts of reference. A global distribution network of publications was constructed and thematic trends were analyzed using R package "bibliometrix."

Results

The study identified 1763 articles on eHealth in disease management. Since 2011, there has been a notable increase in publications, with the United States (n = 391, 22.08%) and the University of Sydney (n = 60, 3.40%) as leading contributors. High-quality journals primarily publish this research. Globally, 9631 authors contributed, with Chavannes, Niels H being the most prolific (n = 23). Author co-citation analysis indicated Eysenbach, G as the most cited (n = 336). Research currently focuses on developing a comprehensive eHealth framework, optimizing mHealth for chronic diseases, improving eHealth intervention trial reporting, assessing social factors in eHealth literacy, and examining telemedicine's role during the Covid-19 pandemic.

Conclusion

This study offers a comprehensive overview of eHealth research in disease management. eHealth's potential in disease prevention and treatment is significant. To enhance eHealth's impact, international collaboration, technological innovation, tailored intervention trials, addressing the digital divide, and solving legal and ethical issues are crucial. This study will guide future research endeavors, with the goal of enhancing eHealth's benefits and expanding its accessibility to a wider patient base.

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.

Associations of eHealth literacy and knowledge with preventive behaviours and psychological distress during the COVID-19 pandemic: a population-based online survey

OBJECTIVES

To compare the associations of COVID-19 preventive behaviours and depressive and anxiety symptoms with eHealth literacy and COVID-19 knowledge among Korean adults.

DESIGN

A cross-sectional online survey was conducted in April 2020.

SETTING

Seoul metropolitan area in South Korea.

PARTICIPANTS

1057 Korean adults were recruited.

MAIN OUTCOME MEASURES

Associations between eHealth literacy, COVID-19 knowledge, COVID-19 preventive behaviours and psychological distress were computed using Pearson's correlation and logistic regression analyses. eHealth literacy, COVID-19 knowledge, COVID-19 preventive behaviours and psychological distress were weighted by sex and age distribution of the general population in Seoul Metropolitan area.

RESULTS

68.40% (n=723) perceived high eHealth literacy level (eHEALS ≥26), while 57.43% (n=605) had high levels of COVID-19 knowledge (score ≥25). No significant association between eHealth literacy and COVID-19 knowledge was identified (r=0.05, p=0.09). eHealth literacy and COVID-19 knowledge were significantly associated with COVID-19 preventive behaviours (aOR=1.99, 95% CI 1.51 to 2.62 L; aOR=1.81, 95% CI 1.40 to 2.34, respectively). High eHealth literacy was significantly associated with anxiety symptom (aOR=1.71, 95% CI 1.18 to 2.47) and depressive symptom (aOR=1.69, 95% CI 1.24 to 2.30). COVID-19 knowledge had negative and no associations with the symptoms (aOR=0.62, 95% CI 0.46 to 0.86; aOR=0.79, 95% CI 0.60 to 1.03, respectively). High eHealth literacy with low COVID-19 knowledge was positively and significantly associated with COVID-19 preventive behaviours (aOR=2.30, 95% CI 1.52 to 3.43), and anxiety (aOR=1.81, 95% CI 1.09 to 3.01) and depressive symptoms (aOR=2.24, 95% CI 1.41 to 3.55). High eHealth literacy with high COVID-19 knowledge were significantly associated with more preventive behaviours (aOR=3.66, 95% CI 2.47 to 5.42) but no significant associations with anxiety and depressive symptoms.

CONCLUSION

We identified that eHealth literacy and COVID-19 knowledge were not associated each other, and differently associated with individuals' COVID-19 preventive behaviours and psychological well-being. Public health strategies should pay attention to enhancing both eHealth literacy and COVID-19 knowledge levels in the public to maximise their COVID-19 preventive behaviours and mitigate their psychological distress during COVID-19 pandemic.

The Effect of Mobile eHealth Education to Improve Knowledge, Skills, Self-Care, and Mobile eHealth Literacies Among Patients With Diabetes: Development and Evaluation Study

BACKGROUND

The promotion of mobile health (mHealth) and eHealth technologies as tools for managing chronic diseases, particularly diabetes mellitus, is on the rise. Nevertheless, individuals with diabetes frequently face a literacy gap that hinders their ability to fully leverage the benefits offered by these resources. Enhancing technology literacy to facilitate the adoption of mobile eHealth services poses a significant challenge in numerous countries.

OBJECTIVE

This study aims to develop an educational mobile eHealth literacy (eHL) program for patients with diabetes and to evaluate its effect on patients' outcomes.

METHODS

This study designed a mobile eHL education program comprising 2 modules specifically tailored for individuals with type 2 diabetes (T2D). These modules focused on guiding participants through the process of effectively navigating reliable health websites and utilizing diabetes-related apps. Using a pre- and posttest experimental design, the study featured an intervention group and a control group. Participants were recruited from 3 outpatient departments in hospitals, and assessments were conducted both before and after the intervention, along with a follow-up measure at the 3-month mark. The evaluation encompassed sociodemographic characteristics, computer and internet proficiency, mobile app usage, mobile eHL, and patient outcomes such as self-care behaviors and glycated hemoglobin (HbA1c) levels.

RESULTS

The analysis included a total of 132 eligible participants. Significant differences were observed in the mean scores of knowledge (P<.001) and skills (P<.001) related to computers, the web, and mobile devices at the initiation of the study and after the intervention. During the 3-month follow-up, the findings indicated a significant improvement in mobile eHL (t114=3.391, P=.001) and mHealth literacy (mHL, a subconcept of mobile eHL; t114=3.801, P<.001) within the intervention group, whereas no such improvement was observed in the control group. The chi-square values from the McNemar test underscored that individuals with uncontrolled diabetes (HbA1c≥7%) in the intervention group exhibited more improvement compared with the control group. The generalized estimating equations model unveiled a significant difference in the change of general mHL in the intervention group (β=1.91, P=.047) and self-care behavior in the control group from T0 to T2 (β=-8.21, P=.015). Despite being small, the effect sizes for mobile eHL (d=0.49) and HbA1c (d=0.33) in the intervention group were greater than those in the control group (d=0.14 and d=0.16, respectively).

CONCLUSIONS

The implementation of a mobile eHL education intervention demonstrates a positive influence on the familiarity of patients with T2D regarding health technology, leading to favorable glycemic outcomes. While additional studies are warranted for a more comprehensive understanding, this program emerges as a promising solution for enhancing patients' uptake of digital health technology.

Measuring adolescent health literacy in Taiwan: validation of the health literacy assessment scale for adolescents

BACKGROUND

This study aimed to validate the Chinese version of the Health Literacy Assessment Scale for Adolescents (HAS-A) and conduct a comparative analysis of adolescent health literacy between Taiwan and other countries.

METHODS

The Chinese version of the HAS-A was completed by 2,312 adolescents in the fifth and sixth grades of a primary school. Psychometric properties were examined using consistent internal reliability and confirmatory factor analysis. These assessments were compared with the results from different regions to explore health literacy inequality.

RESULTS

Construct validity was good, and internal consistency was acceptable. The scale, particularly regarding communication health literacy, was associated with parents' socioeconomic status, and family income had a more significant impact on children's health literacy than community income. Health literacy disparities appear in different countries, with Taiwan exhibiting the lowest level of communication health literacy.

CONCLUSION

The results indicate that the HAS-A is a valuable tool for assessing the health literacy of 10-11-year-old adolescents and can uncover health literacy inequality among different regions.

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

Introduction

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

Methods

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

Results

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

Conclusion

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

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Improving health literacy using the power of digital communications to achieve better health outcomes for patients and practitioners

Digital communication tools have demonstrated significant potential to improve health literacy which ultimately leads to better health outcomes. In this article, we examine the power of digital communication tools such as mobile health apps, telemedicine and online health information resources to promote health and digital literacy. We outline evidence that digital tools facilitate patient education, self-management and empowerment possibilities. In addition, digital technology is optimising the potential for improved clinical decision-making, treatment options and communication among providers. We also explore the challenges and limitations associated with digital health literacy, including issues related to access, reliability and privacy. We propose leveraging digital communication tools is key to optimising engagement to enhance health literacy across demographics leading to transformation of healthcare delivery and driving better outcomes for all.

Association Between eHealth Literacy and Health Education Experiences and Confidence Regarding Online Health Information Among Nurses: A Cross-sectional Study

This cross-sectional study examined nurses' eHealth literacy, health education experiences, and confidence in health education regarding online health information and explored their association. A self-administered questionnaire was distributed among 442 nurses in Japan from September 2020 to March 2021. The survey items were the Japanese version of the eHealth Literacy Scale, health education experiences and confidence in health education regarding online health information, and sociodemographic variables. The final analysis comprised 263 responses. Nurses' mean eHealth literacy was 21.89. Most nurses had never received questions regarding online health information in search (66.9%), evaluation (85.2%), and utilization (81.0%) from their patients. Further, most nurses lacked experience (84.0%-89.7%) and confidence (94.7%-97.3%) in health education regarding online health information. The factor associated with having health education experience regarding online health information was eHealth literacy (adjusted odds ratio, 1.08; 95% confidence interval, 1.02-1.15). Factors associated with having confidence in health education regarding online health information were eHealth literacy (adjusted odds ratio, 1.10; 95% confidence interval, 1.10-1.43) and having learning experiences regarding eHealth literacy (adjusted odds ratio, 7.36; 95% confidence interval, 2.06-26.39). Our findings suggest the importance of enhancing eHealth literacy among nurses and a proactive approach by nurses to improve patients' eHealth literacy.

The effect of digital interventions on related health literacy and skills for individuals living with chronic diseases: A systematic review and meta-analysis

BACKGROUND

Chronic diseases are a leading cause of death and disease burden globally. Digital interventions could be an approach to improve patients' ability to find, evaluate, and use health information.

OBJECTIVES

The main objective was to conduct a systematic review to determine the effect of digital interventions on digital health literacy for patients living with chronic disease. Secondary objectives were to provide an overviewof the design and delivery characteristics of interventions that impact digital health literacy in people with chronic disease.

METHODS

Randomized controlled trials examining digital health literacy (and related components) for individuals with cardiovascular disease, chronic lung disease, osteoarthritis, diabetes, chronic kidney disease, and HIV were identified. This review was conducted following the PRIMSA guidelines. Certainty was assessed using GRADE and the Cochrane risk of bias tool. Meta-analyses were conducted using Review Manager 5.1. The protocol was registered on PROSPERO (CRD42022375967).

RESULTS

9386 articles were identified and 17 articles representing 16 unique trials were included. Studies evaluated 5138 individuals with one or more chronic conditions (50% women, ages 42 ± 7-71 ± 12 years). The most targeted conditions were cancer, diabetes, cardiovascular disease, and HIV. Interventions included: skills training, websites, electronic personal health records, remote patient monitoring, and education. The effects of the interventions were related to: (i) digital health literacy, (ii) health literacy, (iii) health information skills, (iv) technology skills and access, and (v) self-management and participation in care. A meta-analysis of three studies identified the effect of digital interventions was better than usual care for eHealth literacy (1.22 [CI 0.55, 1.89], p < 0.001).

CONCLUSIONS

The evidence of the effects of digital interventions on related health literacy is limited. Existing studies reflect the heterogeneity in study design, population, and outcome measures. There is a need for further studies on the effects of digital interventions on related health literacy for individuals with chronic conditions.

Setting a Patient-Driven Agenda for Cancer Research Priorities in Geriatric Oncology: A Qualitative Study

OBJECTIVES

This study aims to explore older adults' perceptions of priorities for research in cancer and hematological malignancies and proposes an agenda of patient-driven priorities for cancer care research in the field of geriatric oncology.

DATA SOURCES

Sixteen older adults (≥65 years) living with or after a diagnosis of cancer participated in a descriptive qualitative study. Participants were purposively recruited via a regional cancer center and cancer advocacy organizations. Semistructured telephone interviews explored participants' experiences of cancer and perceptions of priorities for future cancer-related research.

CONCLUSION

Participants reported positive experiences of cancer care. However, positive and negative experiences of information, symptoms, and support both within and beyond the hospital setting were highlighted. Forty-two research priorities in six thematic areas were identified: 1) recognition of the signs and symptoms of cancer; 2) research about cancer treatment; 3) assessment and management of comorbidities; 4) unmet needs of older adults living with and after cancer; 5) impact of COVID-19; and 6) impact on caregivers and family members of people living with and after cancer.

IMPLICATIONS FOR NURSING PRACTICE

The results of this study provide a basis for future priority-setting activities that are culturally and contextually sensitive to health care systems, resources, and needs of older adults living with and after cancer. Based on the findings of this study, we make recommendations for the development of interventions that can build awareness, capacity, and competence in geriatric oncology among cancer care professionals and consideration of the diverse needs of older adults in the development of interventions to address unmet information and supportive care needs.

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

Background

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

Objective

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

Methods

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

Results

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

Conclusion

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

A study of health literacy and social media use of the students on vaccine preferences during COVID-19 pandemic in Turkey

Background

It is unknown if health-care literacy and social media use of the students affect vaccine preferences during the COVID-19 pandemic.

Objectives

The aim of the present research was to detect whether health-care literacy and social media use of the students affect vaccine preferences during the COVID-19 pandemic.

Materials and Methods

The universe of the sample consisted of the students of a university in Mus Alparslan University. The sample of the research included students whose last digit of the school number is an odd number. Four hundred and twenty students participated into the study. The data of the study were collected through the "Sociodemographic Characteristics Questionnaire," "Health Literacy Scale (HLS)," and "Social Media Usage Scale (SMUS)."

Results

The total score average of the students on the "HLS" was 42.74 ± 13.85 and the "SMUS" was 21.30 ± 7.38. It was determined that those who have preferred the "Sinovac" vaccine had higher score averages on the "Information Understanding Subdimension" and "HLS" than those who have preferred the Türkovac vaccine. Furthermore, it was determined that the score average of "Continuity Subdimension," "Competency Subdimension" and "Social Media Use Scale" were higher, and these differences were statistically significant.

Conclusion

It was detected that the health literacy (HL) levels of the students were lower and they do not use social media competently. On the other hand, it was determined that social media use and HL affect the vaccine preferences.

Medication self-management behaviors of adolescents and young adults with cancer

PURPOSE

Adolescents and young adults (AYAs) with cancer are challenged to manage complex medication regimens during treatment. The aims of the study are to (1) describe the medication self-management behaviors of AYAs with cancer and (2) examine the barriers and facilitators to AYAs' optimal use of medications, including their self-efficacy to manage medications.

METHODS

This cross-sectional study enrolled 30 AYAs (18-29 years) with cancer who were receiving chemotherapy. Participants electronically completed a demographic form, a health literacy screen, and the PROMIS Self-efficacy for Medication Management instrument. They completed a semi-structured interview to answer questions about their medication self-management behaviors.

RESULTS

Participants (53% female, mean age = 21.9 y) had a variety of AYA cancer diagnoses. Over half (63%) had limited health literacy. Most AYAs had accurate knowledge about their medications and average self-efficacy for managing medications. These AYAs were managing an average of 6 scheduled and 3 unscheduled medications. Oral chemotherapy was prescribed for 13 AYAs; other medications were for prevention of complications and symptom management. Many AYAs relied on a parent for obtaining and paying for medications, used multiple reminders to take medications, and used a variety of strategies to store and organize medications.

CONCLUSION

AYAs with cancer were knowledgeable and confident about managing complex medication regimens but needed support and reminders. Providers should review medication-taking strategies with AYAs and ensure a support person is available.

Shifts in Diabetes Health Literacy Policy and Practice in Australia-Promoting Organisational Health Literacy

Improving organisational health literacy ensures people can navigate, understand and use essential health information and services. However, systematic reviews have identified limited evidence for practical approaches to implementing such organisational change, particularly at a national level. This study aimed to (a) investigate the approach taken by an Australian national diabetes organisation-Diabetes Australia, as the administrator of the National Diabetes Services Scheme (NDSS)-to improve organisational health literacy over a 15-year-period and (b) examine the impact of organisational changes on the health literacy demands of health information. We performed an environmental scan, examining the websites of the NDSS, Diabetes Australia and the Australian government for reports and position statements describing organisational health literacy policies and practices between 2006 and 2021. The Patient Education Materials Assessment Tool (PEMAT) was applied to consecutively published NDSS diabetes self-care fact sheets (n = 20) to assess changes in the health literacy demands (understandability and actionability) of these fact sheets over the same period. We identified nine policies resulting in 24 health literacy practice changes or projects between 2006 and 2021, applied using a streamlined incremental approach and group reflexivity. The incremental approach focused on (1) increasing audience reach, (2) consistency and branding, (3) person-centred language and (4) the understandability and actionability of health information. The PEMAT scores of fact sheets improved between 2006 and 2021 for understandability (53% to 79%) and actionability (43% to 82%). Diabetes Australia's information development process leveraging national policies, employing an incremental approach and group reflexivity has improved the health literacy demands of diabetes information and serves as a template for other organisations seeking to improve their organisational health literacy.

Health literacy and health information sources in relation to foodborne and waterborne diseases among adults in Gedeo zone, southern Ethiopia, 2022: A community-based cross-sectional study

Introduction

Foodborne and waterborne illnesses affect billions of people each year and impose a significant burden on public health globally. To reduce the prevalence of foodborne and waterborne illness in resource-constrained settings like Ethiopia, it is essential to recognize and address the factors that influence health literacy and the sources of health information. We explored health literacy and health information sources regarding foodborne and waterborne illnesses among adults in the Gedeo zone.

Methods

A community-based quantitative study was undertaken between March and April 2022 in the Gedeo zone in southern Ethiopia. A semi-structured, pretested, and interviewer-administered questionnaire was used to collect data from 1,175 study participants selected through a systematic sampling technique. Data were entered in Epidata version 4.6 and analyzed in STATA version 14.2. Data were analyzed using descriptive statistics and the Chi-square test, and multivariate logistic regression analysis was used to assess the associations between variables at a significance level of 0.05. Further, a structural equation model or path analysis was also used in the data analysis.

Result

1,107 (about 51% men) study participants were included in the analysis. About 25.5% of the participants had a foodborne or waterborne illness in the last six months before the survey. Family members and/or close friends were the most-used channel of health information (43.3%), and the internet or online sources were the least-used (14.5%). The result of path analysis shows that seeking health information, having adequate health literacy, and foodborne and waterborne literacy were significantly associated with lower incidences of foodborne or waterborne illness.

Conclusion

Our findings showed that individuals with a higher level of health literacy and foodborne and waterborne illness literacy had a lower incidence of foodborne and waterborne illness. Similarly, obtaining health information is positively associated with lowering the incidence of foodborne and waterborne illnesses. Importantly, our findings show mass media has the potential to reach a large audience when educating adults about foodborne and waterborne illnesses.

The Swedish Version of the eHealth Literacy Questionnaire: Translation, Cultural Adaptation, and Validation Study

BACKGROUND

With the increasing digitalization in health care, an effective instrument is necessary to assess health care consumers' digital competencies-their "eHealth literacy." The 7-scale eHealth Literacy Questionnaire (eHLQ), based on the theoretically robust eHealth Literacy Framework, has shown strong psychometric properties in Denmark and Australia.

OBJECTIVE

The aim of this study was to translate, culturally adapt, and evaluate the psychometric properties of the Swedish version of the eHLQ.

METHODS

We followed the Translation Integrity Procedure guidelines to translate and culturally adapt the questionnaire to Swedish using forward and backward translations, review by an expert panel, and cognitive interviewing. The psychometric properties of the Swedish eHLQ were investigated by evaluating its internal consistency (Cronbach α) and a priori-defined factor structure (confirmatory factor analysis).

RESULTS

A total of 236 primary health care patients and parents of hospitalized children were included in the validation analysis. The mean age was 48.5 years, and 129 (55%) were women. All 7 eHLQ scales showed good internal consistency, with the Cronbach α ranging from .82 to .92. Single-factor and 7-factor confirmatory factor analysis showed satisfactory model-fit values. With one exception, all items demonstrated satisfactory loadings on their respective factors.

CONCLUSIONS

The Swedish eHLQ demonstrated strong psychometric properties. It has the potential as a useful tool for a variety of purposes, including population surveys, intervention evaluations, and eHealth service implementations.

Association between multiple chronic conditions and insufficient health literacy: cross-sectional evidence from a population-based sample of older adults living in Switzerland

BACKGROUND

Health literacy is the ability to find, understand, assess, and apply health information. Individuals suffering from multiple chronic conditions have complex healthcare needs that may challenge their health literacy skills. This study aimed to investigate the relationship between multimorbidity, the number of chronic conditions, and health literacy levels in a sample of adults aged 58+ in Switzerland.

METHODS

We used data from 1,615 respondents to a paper-and-pencil questionnaire administered as part of wave 8 (2019/2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE) in Switzerland. Health literacy was measured using the short version of the European Health Literacy Survey questionnaire. The final score ranged from 0 to 16 and was categorised into three health literacy levels: inadequate (0-8), problematic (9-12), and sufficient (13-16). The number of chronic conditions was self-reported based on a pre-defined list. Associations were examined using multivariable ordinary least squares and ordered probit regression models, controlling for key socio-demographic characteristics.

RESULTS

Overall, 63.5% of respondents reported having at least one chronic condition. Respondents who reported one, two, and three or more chronic conditions were more likely to have lower health literacy scores compared to respondents who did not report any chronic condition (p<0.05, p<0.01, and p<0.001, respectively). Suffering from two and three or more chronic conditions (vs. no chronic condition) was significantly associated with a higher likelihood of having inadequate or problematic health literacy levels (both p-values <0.01).

CONCLUSIONS

Our findings suggest a need to improve health literacy in older adults suffering from chronic conditions. Improved health literacy could constitute a promising lever to empower individuals to better self-manage their health to ultimately reduce the double burden of chronic diseases and insufficient health literacy in this vulnerable population.

e-Health Literacy Skills in People with Chronic Diseases and What Do the Measurements Tell Us: A Scoping Review

Background: Use of electronic health (e-Health) technologies has increased in the past decade and inadequate e-Health literacy may lead to health-related social inequality. This is especially true for patients living with chronic diseases who are often involved in self-care. However, the measurement of e-Health literacy represents several challenges. Among available instruments, the e-Health Literacy Scale (eHEALS) is the only instrument with available psychometric properties. Aim: To identify studies measuring e-Health literacy in adults living with chronic disease and its relationship to health-related behaviors and other perceptions such as quality of life, self-efficacy, or specific disease biomarkers, and studies analyzing the impact of educational intervention on e-Health literacy. Methods: The authors searched MEDLINE, the Cochrane Library, and Web of Science databases to identify studies published in English language until April 2022. Results: Seventeen studies involving 4,877 participants were included. A majority of the studies were cross-sectional with a lack of appropriate controls. Five of the included studies were experimental, involving 758 participants. All of them reported positive effects of educational interventions on the improvements in self-reported e-Health literacy skills. However, most studies were at risk of bias. Conclusion: Despite these limitations, the findings of this review indicate the positive relationship between e-Health literacy and various health care processes in adults with chronic diseases and highlights a need for prospective controlled studies. Promoting e-Health literacy might give better opportunities for the active involvement of people with chronic diseases in self-care and for the implementation of online interventions into existing system of care.

eHealth literacy and its associated factors in Ethiopia: Systematic review and meta-analysis

INTRODUCTION

Electronic health has the potential benefit to the health system by improving health service quality efficiency effectiveness and reducing the cost of care. Having good e-health literacy level is considered essential for improving healthcare delivery and quality of care as well as empowers caregivers and patients to influence control care decisions. Many studies have done on eHealth literacy and its determinants among adults, however, inconsistent findings from those studies were found. Therefore, this study was conducted to determine the pooled magnitude of eHealth literacy and to identify associated factors among adults in Ethiopia through systematic review and meta-analysis.

METHOD

Search of PubMed, Scopus, and web of science, and Google Scholar was conducted to find out relevant articles published from January 2028 to 2022. The Newcastle-Ottawa scale tool was used to assess the quality of included studies. Two reviewers extracted the data independently by using standard extraction formats and exported in to Stata version11 for meta-analysis. The degree of heterogeneity between studies was measured using I2 statistics. The publication bias between studies also checked by using egger test. The pooled magnitude of eHealth literacy was performed using fixed effect model.

RESULT

After go through 138 studies, five studies with total participants of 1758 were included in this systematic review and Meta-analysis. The pooled estimate of eHealth literacy in Ethiopia was found 59.39% (95%CI: 47.10-71.68). Perceived usefulness (AOR = 2.46; 95% CI: 1.36, 3.12),educational status(AOR = 2.28; 95% CI: 1.11, 4.68), internet access (AOR = 2.35; 95% CI: 1.67, 3.30), knowledge on electronic health information sources(AOR = 2.60; 95% CI: 1.78, 3.78), electronic health information sources utilization (AOR = 2.55; 95%CI: 1.85, 3.52), gender (AOR = 1.82; 95% CI: 1.38, 2.41) were identified significant predictors of e-health literacy.

CONCLUSION AND RECOMMENDATION

This systematic review and meta-analysis found that more than half of study participants were eHealth literate. This finding recommends that creating awareness about importance of eHealth usefulness and capacity building to enhance and encouraging to use electronic sources and availability of internet has para amount to solution to increase eHealth literacy level of study participants.

Perceptions of Finns with chronic diseases about factors affecting their eHealth literacy: A qualitative interview study

Objective

This study aims to describe the factors related to the individual, the system and their interaction, which can affect eHealth literacy from the perspective of people living with one or multiple chronic diseases. As digital solutions are increasingly used in healthcare, perspectives of patients with chronic diseases must be considered.

Methods

The study design was a qualitative, descriptive interview study, gathering the insights of people living in Finland with chronic disease. The individual semi-structured interviews (n = 17) were conducted via telephone. The eHealth Literacy Framework was used in the data analysis, with a deductive-inductive approach.

Results

The range of skills included in the eHealth Literacy Framework was widely applied by participants who described themselves as adept at using eHealth environments to manage health-related needs. The participants evaluated online information and took an active role in self-management of their chronic disease. Most importantly, even participants possessing many of the skills in the eHealth Literacy Framework experienced difficulties in using eHealth environments, and the accessibility of eHealth environments was highlighted.

Conclusions

eHealth environments could be useful for health promotion and self-management for people with chronic diseases, but only presuming the environments are adapted to their level of eHealth literacy skills.

Validation of the PAM-13 instrument in the Hungarian general population 40 years old and above

BACKGROUND

Patient activation comprises the skills, knowledge and motivation necessary for patients' effective contribution to their care. We adapted and validated the 13-item Patient Activation Measure (PAM-13) in the ≥ 40 years old Hungarian general population.

METHODS

A cross-sectional web survey was conducted among 900 respondents selected from an online panel via quota sampling. After 10 days, the survey was repeated on 100 respondents. The distribution, internal consistency, test-retest reliability, factor structure, convergent, discriminant and known-groups validity of PAM-13 were assessed according to the COSMIN guidelines.

RESULTS

The sample comprised 779 respondents. Mean (± SD) age was 60.4 ± 10.6 years, 54% were female and 67% had chronic illness. Mean (± SD) PAM-13 score was 60.6 ± 10.0. We found good internal consistency (Cronbach alpha: 0.77), moderate test-retest reliability (ICC: 0.62; n = 75), a single-factor structure and good content validity: PAM-13 showed moderate correlation with the eHealth Literacy Scale (r = 0.40), and no correlation with age (r = 0.02), education (r = 0.04) or income (ρ = 0.04). Higher PAM-13 scores were associated with fewer lifestyle risks (p < 0.001), more frequent health information seeking (p < 0.001), participation in patient education (p = 0.018) and various online health-related behaviours. When controlling for health literacy, sociodemographic factors and health status, the association of higher PAM-13 scores with overall fewer lifestyle risks, normal body mass index, physical activity and adequate diet remained significant. Similar properties were observed in the subgroup of participants with chronic morbidity, but not in the age group 65+.

CONCLUSION

PAM-13 demonstrated good validity in the general population. Its properties in clinical populations and the elderly as well as responsiveness to interventions warrant further research.

eHealth literacy measurement tools: a systematic review protocol

BACKGROUND

Improving eHealth literacy (eHL) is one of the biggest challenges currently facing the global healthcare community. Indeed the use of digital services has the potential to engage patients in care as well as improve the effectiveness of chronic disease self-management, it remains highly dependent on a patient's specific skills and experiences in the health care systems. Although eHealth literacy has gained momentum in the past decade, it remains an underresearched area, particularly eHealth literacy measurement. The aim of the review is to identify patient-reported outcome measures (PROMs) of eHealth literacy for adult populations and to summarize the evidence on their psychometric properties.

METHODS

We will conduct a systematic literature review of the tools used to measure eHealth literacy for adult population. The search strategy aims to find published studies. A three-step search strategy will be used in this review. Published studies will be searched in CINAHL, PubMed, PsycINFO, and Web of Science from inception until end. Grey literature will be searched to find theses. Database search strategies will be formulated and tested with the assistance of an expert Health Sciences Librarian. The selection of studies will be done by two independent reviewers. Disagreements will be resolved through consensus, and a third reviewer will solve discrepancies. Furthermore, two reviewers will independently evaluate the methodological rigor of the instruments development and testing and assign a grade using the standardized Consensus-based Standards for the Selection of Health Measurement Instruments (COSMIN) checklist. Disagreements will be discussed with a third reviewer, expert in psychometrics. Extracted data will be aggregated and analyzed to produce a set of synthesized findings that will be used to develop evidence-informed recommendations in regard of eHL instruments. We will present a synthesis of all instruments, their psychometric properties, and make recommendations for eHL instrument selection in practice. Reporting will be informed by the Preferred Reporting Items for Systematic Reviews and Meta-Analysis and a PRISMA flow diagram.

DISCUSSION

This systematic review will summarize the evidence on the psychometric properties of PROMs instruments used to measure eHL and will help clinicians, managers, and policy-makers to select an appropriate instrument.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42021232765.

Geographic social inequalities in information-seeking response to the COVID-19 pandemic in China: longitudinal analysis of Baidu Index

The outbreak of the COVID-19 pandemic alarmed the public and initiated the uptake of preventive measures. However, the manner in which the public responded to these announcements, and whether individuals from different provinces responded similarly during the COVID-19 pandemic in China, remains largely unknown. We used an interrupted time-series analysis to examine the change in Baidu Search Index of selected COVID-19 related terms associated with the COVID-19 derived exposure variables. We analyzed the daily search index in Mainland China using segmented log-normal regressions with data from Jan 2017 to Mar 2021. In this longitudinal study of nearly one billion internet users, we found synchronous increases in COVID-19 related searches during the first wave of the COVID-19 pandemic and subsequent local outbreaks, irrespective of the location and severity of each outbreak. The most precipitous increase occurred in the week when most provinces activated their highest level of response to public health emergencies. Search interests increased more as Human Development Index (HDI) -an area level measure of socioeconomic status—increased. Searches on the index began to decline nationwide after the initiation of mass-scale lockdowns, but statistically significant increases continued to occur in conjunction with the report of major sporadic local outbreaks. The intense interest in COVID-19 related information at virtually the same time across different provinces indicates that the Chinese government utilizes multiple channels to keep the public informed of the pandemic. Regional socioeconomic status influenced search patterns.

Decision-Making Ability: A Missing Link Between Health Literacy, Contextual Factors, and Health

Background:

Health literacy has often been described as an important precondition for good health decisions, healthy behaviors, and health. However, reviews reveal low evidence for intervention effectiveness through health literacy. This result calls for more investigations to be done in the pathway from health literacy to health, considering intermediate outcomes of health literacy.

Objective:

This study explores an important immediate objective of health literacy, namely the decision-making ability (DMA) regarding health issues. The study's hypothesis claims the DMA to be an important mediator between health literacy and health outcomes. Furthermore, the study assumes that the effect of the DMA on different health outcomes is not only contingent on health literacy but also on contextual factors. To test the above hypotheses, six different health literacy dimensions and four health outcomes have been analyzed.

Methods:

Cross-sectional data from the Young Adult Survey Switzerland was used for mediation analyses (N = 4, 569, age, 18 to 25 years, all male). Multiple regression and KHB (Karlson, Holm, and Breen) decomposition analyses were applied to estimate mediation effects between health literacy and health outcomes.

Key Results:

Five of six health literacy dimensions explained the DMA in a linear regression model. The coefficients of the DMA explaining health outcomes were substantially reduced when health literacy items were included into the models (6.1%–20.3%). Furthermore, the associations between health literacy and the health outcomes were fully explained by contextual factors, except in the mental health model.

Conclusions:

The results support the hypothesis that higher health literacy levels do not necessarily lead to better health directly. Rather, health literacy is just one of multiple factors contributing to a higher DMA and, further, to favorable health outcomes. The results of this study call for more investigations in the health decision-making process and the role of contextual factors. [HLRP: Health Literacy Research and Practice. 2022;6(3):e213–e223.]

Plain Language Summary:

The study investigated the ability to make good health decisions while considering health literacy. The results support the intermediate function of the decision-making ability on the path to favorable health outcomes. Furthermore, it is found that the DMA as well as health literacy are highly contingent on contextual factors. The results shed light into the complex decision-making process regarding health issues.

Evaluation of the relationship between health literacy and self-efficacy: A sample of hemodialysis patients

PURPOSE

The aim of this study was to evaluate self-efficacy and health literacy of patients undergoing hemodialysis, to investigate the relationship between health literacy and self-efficacy, and to determine the factors affecting self-efficacy.

METHODS

The study was conducted in Eskisehir and Gumushane state hospitals affiliated to the Public Hospitals Association with the participation of 198 patients receiving hemodialysis treatment for chronic renal failure. The inclusion criteria were as follows: being ⩾18 years old, receiving hemodialysis, and agreeing to participate in the study. The study data were collected using face-to-face interview technique, and they were analyzed using descriptive statistics, correlation, and regression analysis.

RESULTS

The mean age of the patients was 59.73 ± 16.32 years. Of the patients, 46% were primary school graduates, and 63.6% reported having other chronic diseases. The mean health literacy and self-efficacy scores were found to be 79.43 ± 26.09 and 23.98 ± 7.42, respectively. The results showed that the self-efficacy scores of the patients increased as the general health literacy scores increased, with a strong linear correlation between these variables (r = 0.712; p ˂ 0.001). Patients with advanced age, low educational level, and widowed patients had lower self-efficacy and health literacy scores than others (respectively eta² = 0.263, 0.116, 0.268, 0.141).

CONCLUSION

High score of health literacy positively affects the self-efficacy score of hemodialysis patients.

Using technology to bridge the transition from pediatric to adult health care

BACKGROUND

There are unique challenges presented during the transition from pediatric to adult health care for adolescents with chronic medical conditions, and many do not transition smoothly. Although there is little research on how mobile applications can influence the transition process specifically, research shows technology, in general, can be advantageous to the transition process for adolescents. Ample literature exists on how adolescents are avid users of technology.

LOCAL PROBLEM

The Children's Medical Services program in a large urban county in the southern United States lacked an efficient system for transitioning the care of children with special needs to the adult health care setting.

METHODS

Qualitative semistructured interviews and pre-post tests were conducted with 23 adolescent participants with chronic medical conditions. Multiple choice questions elicited information from four categories: knowledge of medical condition, organization/health care system navigation, identified adult health care provider, and awareness of available resources.

INTERVENTIONS

A novel website and smartphone application designed to aid adolescents and young adults during transition were developed.

RESULTS

Gain scores from pre-post tests showed an increase in all 4 sections of the survey: knowledge of medical condition-21% increase, organization/health care system navigation-15.3% increase, identified health care provider-32% increase, and awareness of available resources-19.3% increase. All 23 adolescent participants reported that the application would be useful for managing their health information.

CONCLUSIONS

Smartphone applications can be helpful for adolescents in their transition into adult health care. Such applications also have potential to increase confidence and independence in managing health care needs.

The impact of health literacy levels on women’s fear of contracting Covid-19 and their attitudes toward holistic complementary and alternative medicine: Mediation analysis results

Researchers aim to examine mediating variable role of health literacy in the relationship between fear of contracting Covid-19 in women and use of holistic complementary alternative medicine. The study was conducted as descriptive cross-sectional. The researchers collected study data by conducting an online questionnaire from 285 women between April 01 and June 30, 2021. In our study, a significant relationship was found between education level and health literacy, having a chronic illness, not being able to find a permanent job and fear of Covid-19 (p < 0.05). Positive correlation exists between fear of contracting Covid-19 and Holistic Complementary and Alternative Medicine Practice (correlation between HCAM Practice β=.21). When health literacy variable is included, the level of relationship decreases (β=.18). The researchers determined that as the level of health literacy increased, the women resorted to HCAM practices less despite their fear of contracting Covid-19.

Use and Perception of Digital Health Technologies by Surgical Patients in Germany in the Pre-COVID-19 Era: Survey Study

BACKGROUND

This survey study investigates surgical patients' use and perception of digital health technologies in Germany in the pre-COVID-19 era.

OBJECTIVE

The objective of this study was to relate surgical patients' characteristics to the use and perception of several digital health technologies.

METHODS

In this single-center, cross-sectional survey study in the outpatient department of a university hospital in Germany, 406 patients completed a questionnaire with the following three domains: general information and use of the internet, smartphones, and general digital health aspects. Analyses were stratified by age group and highest education level achieved.

RESULTS

We found significant age-based differences in most of the evaluated aspects. Younger patients were more open to using new technologies in private and medical settings but had more security concerns. Although searching for information on illnesses on the web was common, the overall acceptance of and trust in web-based consultations were rather low, with <50% of patients in each age group reporting acceptance and trust. More people with academic qualifications than without academic qualifications searched for information on the web before visiting physicians (73/121, 60.3% and 100/240, 41.7%, respectively). Patients with academic degrees were also more engaged in health-related information and communication technology use.

CONCLUSIONS

These results support the need for eHealth literacy, health literacy, and available digital devices and internet access to support the active, meaningful use of information and communication technologies in health care. Uncertainties and a lack of knowledge exist, especially regarding telemedicine and the use of medical and health apps. This is especially pronounced among older patients and patients with a low education status.

The Development and Evaluation of an e-Learning Course That Promotes Digital Health Literacy in School-age Children: Pre-Post Measurement Study

Background

Experts agree that the promotion of (digital) health literacy should be an integral part of the school curriculum. However, promoting (digital) health literacy within the German school system is difficult because (digital) health education is not a mandatory school subject in all the German states. Therefore, experts suggest that (digital) health literacy could be addressed as part of the mandatory framework for digital education and digital literacy in schools developed by the German Conference on Education Ministries and Cultural Affairs (Kultusministerkonferenz).

Objective

The goal of this study was to evaluate a newly developed e-learning course that was designed to improve (digital) health literacy in school-age children and concurrently to teach skills specified in the mandatory framework for digital education and digital literacy in schools. It was hypothesized that participants’ health literacy and digital health literacy levels would be higher after completing the e-learning course than they were before doing the course. Furthermore, it was hypothesized that after completing the e-learning course, participants’ subjective and objective knowledge in the domain of (digital) health literacy would be higher than it was before doing the course.

Methods

The pre-post measurement study was conducted online. After participants (N=323) gave their informed consent to participate in the study, they provided demographic information and answered all measures (premeasurement). Following this, participants had 7 days to complete the e-learning course. After finishing the e-learning course, participants answered all the measures again (postmeasurement).

Results

To test the hypotheses, Bayesian paired samples t tests (1-sided) were conducted. After completing the e-learning course, participants showed higher health literacy levels. Specifically, they showed higher competency levels in the domains of theoretical knowledge (Bayes factor [BF]_–0=676,000; δ=–0.316), practical knowledge (BF_–0=92,300; δ=–0.294), critical thinking (BF_–0=7.42e+13; δ=–0.482), self-awareness (BF_–0=11,500,000; δ=–0.345), and citizenship (BF_–0=266,000; δ=–0.306). Furthermore, participants achieved higher digital health literacy levels. Specifically, they achieved higher competency levels in the domains of information searching (BF_–0=2.339; δ=–0.135), evaluating reliability (BF_–0=2.03e+11; δ=–0.434), and determining relevance (BF_–0=316,000; δ=–0.308). Moreover, participants demonstrated higher subjective (BF_–0=3.58e+82; δ=–1.515) and objective knowledge (BF_–0=3.82e+97; δ=–1.758) in the domain of (digital) health literacy.

Conclusions

The newly designed e-learning course provides an easy way for schools and teachers from all German states to integrate (digital) health literacy education into their school curriculums and lessons. The evaluated course is especially attractive because it was designed to improve (digital) health literacy and at the same time to teach skills specified in the mandatory framework for digital education and digital literacy in schools developed by the German Conference on Education Ministries and Cultural Affairs (Kultusministerkonferenz).

Parents of children with epilepsy: Characteristics associated with high and low levels of health literacy

Parents of children with epilepsy play a key role in the management of their child's condition. Their level of health literacy (HL), which refers to their ability to seek, understand, assess, remember, and utilize health information, is essential for handling the child optimally. The aim of this study was to investigate characteristics associated with high and low levels of different dimensions of HL in parents. HL was assessed with the multidimensional Health Literacy Questionnaire (parents' version) and the electronic Health Literacy Scale, using data from a cohort of 254 parents of children <12 years. Bivariate correlation and multiple hierarchal linear regression (STATA version 16 SE) were used to investigate variables associated with HL. Self-efficacy (St. β = 0.14-0.34) was the only variable that predicted higher scores on every HL scale. Being older than 35 years (St. β = 0.18-0.21), level of education (St. β = 0.16-0.27), and the child having a coordinator of services (St. β = 0.16-0.28) were associated with higher scores, while sick leave due to the child's epilepsy (St. β = -0.13 to -0.16), child comorbidities (St. β = -0.15 to -0.19), and higher levels of mental distress (St. β = -0.13 to -0.19) were associated with lower scores in several of the different HL dimensions. A total of 44.8% of the parents scored over the cutoff (≥1.85) predicting a mental disorder on the Hopkins symptom checklist. This is the first study to investigate multidimensional parental HL in a childhood epilepsy context. Our results highlight the need to investigate multiple variables, especially mental distress, to determine characteristics that may predict low parental HL. Further qualitative studies are needed to explore the underlying reasons for the parents' HL scores and to develop inventions tailored to meet different HL needs.

Cross-cultural adaptation and psychometric properties of the Sinhala version of electronic health literacy scale: A cross-sectional validation study

eHealth Literacy Scale (eHEALS) is the most widely used, valid and reliable tool to assess eHealth literacy skills, but no culturally appropriate tool exists to assess these skills among Sinhala-speaking Sri Lankans, including health professionals. This study aimed to cross-culturally adapt the original eHEALS from English to Sinhala and evaluate its psychometric properties. The study was conducted in two phases. The first phase involved translation and cross-cultural validation of the questionnaire. The second phase involved a cross-sectional survey conducted online among 268 health science students from a state university in Sri Lanka to confirm the psychometric properties of the questionnaire. An analysis of test-retest reliability was conducted with a subset of 72 students. The pre-final version of Sinhala eHEALS (Si-eHEALS) was developed following the cross-cultural adaptation process. The mean score of Si-eHEALS was 28.51±4.87. A satisfactory level of internal consistency was achieved (Cronbach’s alpha = 0.91). The test-retest reliability was acceptable (intraclass correlation coefficient -.776). Content validity index of Si-eHEALS was.97. The principal component analysis supported the unidimensionality of the scale, explaining 61.2 variance. There was a significant positive association between Si-eHEALS score with academic year (r_s = .146, p = .017), self-rated internet skills (r_s = .122, p = .046), usefulness of internet in health decision making (r_s = .212, p < .001) and importance of ability to access health resources on the internet (r_s = .230, p < .001), confirming concurrent validity. No significant difference based on gender (U = 5854, p = .550) and degree program (X²(2) = 2.965, p = .564) was found, confirming discriminant validity. In line with many previous validation studies, our study demonstrated good psychometric properties for Si-eHEALS. Si-eHEALS is a valid and reliable tool that assesses eHealth literacy in Sinhala speaking Sri Lankans, particularly health professionals.

Development of Training Curriculum to Improve Patient Communication Skills and Social Support Among Community Health Workers

Background:

Effective provider communication skills are important for patient decision-making and understanding, particularly for those with low health literacy. A gap exists in training methods and curriculum for community health workers (CHWs).

Brief description of activity:

Through a clinical and academic partnership, pilot training curriculum focused on patient communication skills was developed to align with CHW scope of work.

Implementation:

The curriculum was implemented in three 2-hour training sessions over WebEx with seven state-certified CHWs. The goal was for CHWs to understand the key elements and application of active listening, Teach Back, and action planning in a clinical setting. The sessions included didactic and skills practice modules for each skill.

Results:

A survey was distributed to CHWs to evaluate knowledge, skills, and attitudes and reactions to training methods, instructors, and relevance using the Kirkpatrick's evaluation model (Reaction and Learning). Although CHWs agreed that they had actively participated in the training and that the instructors were well-prepared, there was less agreement that the course was relevant. CHWs reported an increase in understanding of active listening and action planning, capability of using Teach Back and providing social support, and ability to teach, whereas a decrease was reported in the capability to use action planning. When probed about training relevance, CHWs felt action listening and Teach Back were relevant, but that action planning was not relevant to their responsibilities. This gap in responsibilities was also acknowledged by the clinical leadership.

Lessons learned:

The training allowed the CHWs to build on subsequent skills from previous sessions and to discuss struggles. A need for tools for integrating the skills in the clinical workflow were requested by CHWs and clinical leadership. These tools offer the opportunity to tailor future trainings on communication skills or patient scenarios. Future trainings should include CHWs to provide insight into scope of work. [HLRP: Health Literacy Research and Practice. 2022;6(2):e142–e150.]

Plain Language Summary:

It is important for community health workers to communicate with patients so that patients can understand information and make their own decisions. There is not enough known about the best way to train CHWs in patient communication. This training was created to help CHWs use three patient communication skills in their clinic.

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

This review aims to identify, appraise, and synthesize research evidence of the association between electronic health (eHealth) literacy and health outcomes in older adults. English-written articles that presented the relationships between eHealth literacy and health-related outcomes in older adults were identified by searching five scientific databases (Web of Science, PubMed, Cochrane Library, APA PsycInfo, and EMBASE) hand-searching reference lists. Searches yielded 2993 studies after duplicates were removed, of which 24 publications were included in the final review. eHealth literacy was relatively low in older adults, and the eHealth Literacy Scale, developed by Norman and Skinner in 2006, was the most frequently used instrument in the included studies (21/24, 87.5%). The health-related outcomes associated with eHealth literacy were grouped into four categories: physical, behavioral, psychosocial, and cognitive. For behavioral (e.g., health-promoting behaviors, self-care, and medication adherence) and cognitive (e.g., health knowledge and health decision making) outcomes, the evidence was mostly consistent that eHealth literacy was positively associated with better outcomes. For physical (e.g., health-related quality of life) and psychosocial outcomes (e.g., anxiety and self-efficacy), the associations were less consistent, with some studies showing significant associations while others showed no associations. Most included studies were assessed as moderate quality. Overall, higher eHealth literacy is associated with more positive health behaviors and better health knowledge and attitude in older adults, however, the associations with some physical and psychosocial outcomes are less consistent. Clarifying the pathways of the relationships between eHealth literacy and some health-related outcomes is needed for further exploring their underlying mechanisms.

Predictors of eHealth Literacy and Its Associations with Preventive Behaviors, Fear of COVID-19, Anxiety, and Depression among Undergraduate Nursing Students: A Cross-Sectional Survey

Background: The infodemic has been co-existing with the COVID-19 pandemic with an influx of misinformation and conspiracy theories. These affect people’s psychological health and adherence to preventive measures. eHealth literacy (eHEALS) may help with alleviating the negative effects of the infodemic. As nursing students are future healthcare professionals, having adequate eHEALS skills is critically important in their clinical practice, safety, and health. This study aimed to (1) explore the eHEALS level and its associated factors, and (2) examine the associations of eHEALS with preventive behaviors, fear of COVID-19 (FCV-19S), anxiety, and depression among nursing students. Methods: We surveyed 1851 nursing students from 7 April to 31 May 2020 from eight universities across Vietnam. Data were collected, including demographic characteristics, eHEALS, adherence to preventive behaviors (handwashing, mask-wearing, physical distancing), FCV-19S, anxiety, and depression. Linear and logistic regression analyses were performed appropriately to examine associations. Results: The mean score of eHEALS was 31.4 ± 4.4. The eHEALS score was significantly higher in males (unstandardized regression coefficient, B, 0.94; 95% confidence interval, 95% CI, 0.15 to 1.73; p = 0.019), and students with a better ability to pay for medication (B, 0.79; 95% CI, 0.39 to 1.19; p < 0.001), as compared to their counterparts. Nursing students with a higher eHEALS score had a higher likelihood of adhering to hand-washing (odds ratio, OR, 1.18; 95% CI, 1.15 to 1.22; p < 0.001), mask-wearing (OR, 1.15; 95% CI, 1.12 to 1.19; p < 0.001), keeping a safe physical distance (OR, 1.20; 95% CI, 1.15 to 1.25; p < 0.001), and had a lower anxiety likelihood (OR, 0.95; 95% CI, 0.92 to 0.99; p = 0.011). Conclusions: Nursing students who were men and with better ability to pay for medication had higher eHEALS scores. Those with higher eHEALS scores had better adherence to preventive measures, and better psychological health. The development of strategies to improve eHEALS of nursing students may contribute to COVID-19 containment and improve their psychological health.

Measuring Electronic Health Literacy: Development, Validation, and Test of Measurement Invariance of a Revised German Version of the eHealth Literacy Scale

Background

The World Wide Web has become an essential source of health information. Nevertheless, the amount and quality of information provided may lead to information overload. Therefore, people need certain skills to search for, identify, and evaluate information from the internet. In the context of health information, these competencies are summarized as the construct of eHealth literacy. Previous research has highlighted the relevance of eHealth literacy in terms of health-related outcomes. However, the existing instrument assessing eHealth literacy in the German language reveals methodological limitations regarding test development and validation. The development and validation of a revised scale for this important construct is highly relevant.

Objective

The objective of this study was the development and validation of a revised German eHealth literacy scale. In particular, this study aimed to focus on high methodological and psychometric standards to provide a valid and reliable instrument for measuring eHealth literacy in the German language.

Methods

Two internationally validated instruments were merged to cover a wide scope of the construct of eHealth literacy and create a revised eHealth literacy scale. Translation into the German language followed scientific guidelines and recommendations to ensure content validity. Data from German-speaking people (n=470) were collected in a convenience sample from October to November 2020. Validation was performed by factor analyses. Further, correlations were performed to examine convergent, discriminant, and criterion validity. Additionally, analyses of measurement invariance of gender, age, and educational level were conducted.

Results

Analyses revealed a 2-factorial model of eHealth literacy. By item-reduction, the 2 factors information seeking and information appraisal were measured with 8 items reaching acceptable-to-good model fits (comparative fit index [CFI]: 0.942, Tucker Lewis index [TLI]: 0.915, root mean square error of approximation [RMSEA]: 0.127, and standardized root mean square residual [SRMR]: 0.055). Convergent validity was comprehensively confirmed by significant correlations of information seeking and information appraisal with health literacy, internet confidence, and internet anxiety. Discriminant and criterion validity were examined by correlation analyses with various scales and could partly be confirmed. Scalar level of measurement invariance for gender (CFI: 0.932, TLI: 0.923, RMSEA: 0.122, and SRMR: 0.068) and educational level (CFI: 0.937, TLI: 0.934, RMSEA: 0.112, and SRMR: 0.063) were confirmed. Measurement invariance of age was rejected.

Conclusions

Following scientific guidelines for translation and test validation, we developed a revised German eHealth Literacy Scale (GR-eHEALS). Our factor analyses confirmed an acceptable-to-good model fit. Construct validation in terms of convergent, discriminant, and criterion validity could mainly be confirmed. Our findings provide evidence for measurement invariance of the instrument regarding gender and educational level. The newly revised GR-eHEALS questionnaire represents a valid instrument to measure the important health-related construct eHealth literacy.

Association between health literacy and multimorbidity: a nationwide, cross-sectional study of a Japanese population

OBJECTIVES

To examine the relationship between health literacy and multimorbidity.

DESIGN

Nationwide cross-sectional study.

SETTING

Community settings across Japan.

PARTICIPANTS

Community-dwelling participants aged 20 years or older were selected based on a quota sampling method that adjusted for age, sex and residential area. In total, 3678 participants from the Health Diary Study, with a mean age of 52.3 years (SD, 18.2 years; 1943 (52.8%) female participants), were included.

PRIMARY OUTCOME MEASURE

Multimorbidity, the primary outcome measure, was defined as the presence of two or more chronic diseases.

RESULTS

Of the 3678 participants, 824 (22.4%) had multimorbidity. The mean functional health literacy (FHL) and communicative and critical health literacy (CCHL) scores were 3.2 (SD, 0.7) and 3.6 (SD, 0.9), respectively. In the univariable analysis, both scores were associated with multimorbidity (p<0.001). However, in the multivariable modified Poisson regression analysis, only the FHL score was significantly associated with multimorbidity (per 1-point increase, 0.91; 95% CI 0.84 to 0.99).

CONCLUSIONS

After adjusting for confounding variables, FHL, not CCHL, was significantly related to the presence of multimorbidity. Further longitudinal studies are required to examine the causal relationship between health literacy and multimorbidity.

Exploring Predictors of eHealth Literacy Among Older Adults: Findings From the 2020 CALSPEAKS Survey

With the Internet continuously being used as a means of providing health education and promotion to the public, consumers are increasingly going online to gather pertinent health information. However, disparities exist with regards to consumers’ ability in finding, evaluating, and applying online health information (collectively referred to as eHealth literacy). Identifying these disparities may elucidate which segments of the population would benefit from targeted eHealth literacy interventions and ways to adapt online health promotion materials. This study uses data from the 2020 CALSPEAKS survey to identify disparities in eHealth literacy among older adults aged 65+ residing in California, USA (N = 237). eHealth literacy is self-assessed using the previously validated 8-item eHEALS questionnaire. Ordinary least squares regression analyses are performed on individual eHEALS items and on a summed eHealth literacy score, with demographic and technology use-related characteristics as predictors. Results show that the strongest and most consistent predictors of eHealth literacy include education, frequency of Internet use, and breadth of Internet activities regularly performed. Findings suggest that those seeking to increase eHealth literacy specifically among older Californians may benefit from tailoring their interventions and online health promotion materials towards those with less education and those with less Internet experience.