Validity Testing and Cultural Adaptation of the eHealth Literacy Questionnaire (eHLQ) Among People With Chronic Diseases in Taiwan: Mixed Methods Study

Variations in digital health literacy for pediatric caregivers of hospitalized children: implications for digital health equity

OBJECTIVES

We sought to assess whether race, ethnicity, and preferred language were associated with digital health literacy in pediatric caregivers.

MATERIALS AND METHODS

We used linear regression to measure associations between 3 eHealth Literacy Questionnaire (eHLQ) domains (score range: 1-4) and demographic characteristics.

RESULTS

Non-Latinx White respondents (n = 230) had highest adjusted mean eHLQ scores: 3.44 (95% confidence interval: 3.36-3.52) in "Ability to engage," 3.39 (3.31 to 3.47) in "Feel safe and in control," and 3.34 (3.25 to 3.41) in "Motivated." By contrast, Spanish-preferring Latinx respondents (n = 246) had lower adjusted mean scores across all 3 eHLQ domains: 2.97 (P < .0001), 3.21 (P = .004), and 3.19 (P = .033), respectively.

DISCUSSION

Our study contributes insights in variations across ethnoracial and language preference groups by different eHLQ domains, with implications for addressing digital health inequities.

CONCLUSION

Digital health literacy was lower in Spanish-preferring Latinx pediatric caregivers compared to non-Latinx White caregivers across 3 eHLQ domains. It was lower than English-preferring Latinx caregivers in "Ability."

eHealth Literacy and Health-Related Internet Use Among Swedish Primary Health Care Visitors: Cross-Sectional Questionnaire Study

Background

Digitalization has profoundly transformed health care delivery, especially within primary health care, as a crucial avenue for providing accessible, cost-effective care. While eHealth services are frequently highlighted for improving health care availability and promoting equality, it is essential to recognize that digitalization can inadvertently exclude individuals who lack the prerequisites to use eHealth services, that is, those with low eHealth literacy. Previous research has identified lower eHealth literacy among older individuals, those with lower educational levels, and those who use the internet less frequently. However, in a Swedish context, only a few studies have investigated eHealth literacy.

Objective

This study investigated eHealth literacy and its association with health-related internet use and sociodemographic characteristics among primary health care visitors.

Methods

This cross-sectional study used a quantitative, descriptive approach. Swedish-speaking patients visiting a primary health care center participated by answering the multidimensional eHealth Literacy Questionnaire (eHLQ) and questions regarding sociodemographic characteristics and internet usage. The study compared mean scores using the Mann-Whitney U test and the Kruskal-Wallis test. A logistic regression analysis also explored the associations between eHealth literacy and significant independent variables identified in the univariate analyses.

Results

As a group, the 172 participants rated highest in understanding and engagement with their health (median eHLQ score 3, IQR 2.8-3.4), as well as in feeling secure about the confidentiality of eHealth services (median eHLQ score 3, IQR 2-3), while they rated lower in motivation to use eHealth (median eHLQ score 2.6, IQR 2-3), the suitability of eHealth services to their personal needs (median eHLQ score 2.75, IQR 2-3), and their perceived ability to understand and use health-related internet information (median eHLQ score 2.6, IQR 2-3). The logistic regression analysis identified that lower eHealth literacy was associated with older age, particularly in domains related to finding, understanding, and using health-related internet information (odds ratio [OR] 1.02, 95% CI 1-1.05; P=.03); digital technology use (OR 1.05, 95% CI 1.02-1.08; P<.001); and accessing well-functioning eHealth services (OR 1.02, 95% CI 1-1.05; P=.03). Additionally, in the logistic regression analysis, perceiving health-related internet information as not useful was linked to lower literacy in all eHLQ domains except one.

Conclusions

Our findings regarding the primary challenges within our sample underscore the importance of developing and tailoring eHealth services to accommodate users' individual needs better, enhancing motivation for eHealth use, and continuing efforts to improve overall health literacy. These measures, which both eHealth developers and health care professionals should consider, are crucial for addressing the digital divide and expanding access to eHealth services for as many people as possible.

Online Health Information Seeking, eHealth Literacy, and Health Behaviors Among Chinese Internet Users: Cross-Sectional Survey Study

BACKGROUND

The internet has become an increasingly vital platform for health-related information, especially in upper-middle-income countries such as China. While previous research has suggested that online health information seeking (OHIS) can significantly impact individuals' engagement in health behaviors, most research focused on patient-centered health communication.

OBJECTIVE

This study aims to examine how OHIS influences health behavior engagement among Chinese internet users, focusing on the role of eHealth literacy and perceived information quality in influencing relationships.

METHODS

An online cross-sectional survey was conducted in November 2021 among 10,000 Chinese internet users, using quota sampling based on sex, age, and urban and rural residence, in line with the 48th Statistical Report on Internet Development of China. Nonparametric tests were used to examine the differences in eHealth literacy across sociodemographic groups. Partial correlation analysis and stepwise linear regression were conducted to test the associations between key variables. Confirmatory factor analysis and structural equation modeling were conducted to test the hypotheses.

RESULTS

Our study identified significant disparities in functional and critical eHealth literacy between urban and rural residents across age groups, income levels, education backgrounds, and health conditions (all P<.001). In terms of sex and regional differences, we found higher functional literacy among female users than male users, and critical literacy varied significantly across different regions. The proposed structural model showed excellent fit (χ2404=4183.6, χ2404=10.4,P<.001; root mean square error of approximation value of 0.031, 95% CI 0.030-.031; standardized root mean square residual value of 0.029; and comparative fit index value of 0.955), highlighting reciprocal associations between 2 types of eHealth literacy and OHIS. Participants' functional eHealth literacy, critical eHealth literacy, and OHIS have positive impacts on their health behavioral engagement. Perceived information quality was found to mediate the influence of OHIS on health behavior (b=0.003, 95% CI 0.002-0.003; P<.001).

CONCLUSIONS

The study revealed the pathways linking sociodemographic factors, eHealth literacy, OHIS, and perceived information quality and how they together influenced health outcomes. The findings underscore the significance of enhancing eHealth literacy and improving information quality to promote better health outcomes among Chinese internet users.

Short-Term Effects of an eHealth Care Experiential Learning Program Among Patients With Type 2 Diabetes: Randomized Controlled Trial

BACKGROUND

Type 2 diabetes is a chronic disease with a significant medical burden. eHealth care integrates medicine and technology to enhance the outcomes of such patients; however, adequate eHealth literacy (eHL) is necessary for that to happen. Fostering eHL is crucial for patients with diabetes to engage with eHealth care and receive quality care and timely support. Experiential learning theory can enhance patients' eHL and skills to use eHealth care technology in their daily care.

OBJECTIVE

This study explored the effectiveness of an eHealth care experiential learning program in improving eHL, patient health engagement, and eHealth care use status among patients with type 2 diabetes in 3 months.

METHODS

In this randomized controlled trial, patients under case management services from various clinics in Taiwan were randomly assigned to either the intervention group receiving the 6-session eHealth care experiential learning program or the control group receiving the usual care. Data were collected using structured questionnaires at 3 time points: pretest, postintervention, and 3 months after the intervention. Descriptive data were presented using frequency distribution, percentage, mean, and SD. The outcomes were analyzed using a generalized estimating equation method by intention-to-treat analysis.

RESULTS

A total of 92 participants (46 in each group) were recruited in this study. Of these, 86 completed the course and follow-up evaluations with a mean age of 62.38 (SD 12.91) years. After completing the intervention, the intervention group had significantly higher posttest scores in eHL (β=19.94, SE 3.52; P<.001), patient health engagement (β=.28, SE 0.13; P=.04), and eHealth use (β=3.96, SE 0.42; P<.001) than the control group. Furthermore, the intervention group maintained these significant improvements in eHL (β=18.19, SE 3.82; P<.001) and eHealth use (β=3.87, SE 0.49; P<.001) after 3 months.

CONCLUSIONS

Participating in the eHealth care experiential learning program resulted in significant improvements in eHL, patient health engagement, and eHealth use among patients with type 2 diabetes. Our interventional program can inform future clinical practice and policies to strengthen self-management skills and facilitate the use of health technology in caring for patients with chronic diseases.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05180604; https://clinicaltrials.gov/ct2/show/NCT05180604.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

What are the roles of eHealth literacy and empowerment in self-management in an eHealth care context? A cross-sectional study

AIMS

To examine the relationship among eHealth literacy, empowerment and self-management and the mediating effects of empowerment in diabetic kidney disease (DKD) patients in the eHealthcare context.

BACKGROUND

Self-management is an essential aspect of healthcare in delaying disease progression for DKD. In the eHealthcare era, health services providing self-management are transforming. The ability and confidence of patients to use eHealth services is a critical issue that impacts the effectiveness of self-management, but little is known about the role of eHealth literacy and empowerment in self-management.

DESIGN

A cross-sectional study guided by the STROBE.

METHODS

Overall, 127 Taiwanese patients were enrolled using convenience sampling. Data collection used structured questionnaires and chart reviews. Multiple regression was used to infer self-management predictors, and SPSS PROCESS macro and bootstrapping verified the mediating effects.

RESULTS

Empowerment and eHealth literacy both showed significant positive correlations with self-management. Empowerment was the main predictor of self-management and had a complete mediating effect between eHealth literacy and self-management.

CONCLUSION

Increasing patients' eHealth literacy can improve empowerment and prevent health inequality issues. Healthcare providers should consider improving patients' eHealth literacy to enhance their self-management.

RELEVANCE TO CLINICAL PRACTICE

Healthcare service systems need to create user-friendly eHealthcare environments, and healthcare professionals can provide multifaceted instructions that fit patients' eHealth literacy levels to enhance their motivation and confidence in disease care, thus cultivating positive self-management behaviours.

IMPACT

The popularity of eHealthcare services aimed at promoting self-management behaviours is increasing. However, the level of eHealth literacy is an essential factor that affects the effectiveness of self-management in the healthcare environment. In addition, empowerment is a major critical influence factor of self-management and a completely mediating variable between self-management and eHealth literacy. Consequently, healthcare providers should consider promoting patients' eHealth literacy to empower people using eHealthcare services for implementing self-management.

REPORTING METHOD

The Strengthening the Reporting of Observational Studies in cross-sectional studies (STROBE) checklist was used to ensure comprehensive reporting.

PATIENT OR PUBLIC CONTRIBUTION

Patients were diagnosed with DKD in the study hospital. Physicians and case managers transferred patients to research assistants who screened them for the inclusion criteria and invited them to participate in this study if they met the requirements. After participants signed informed consent, the research nurse encouraged participants to respond to the research questionnaire face to face.

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

BACKGROUND

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Preliminary validity testing of the eHealth Literacy Questionnaire (eHLQ): a Confirmatory Factor Analysis (CFA) in Norwegian hospitalized patients

AIMS

To perform the first psychometric analysis of the Norwegian version of the eHLQ using confirmative factor analysis (CFA) procedures in a population of patients admitted to hospital using a cross-sectional design. The eHLQ consists of 35 items capturing the 7-dimensional eHealth Literacy Framework (eHLF) which describes users' attributes, user's interaction with technologies and user's experience with digital health systems.

METHODS

The 7 independent scales of the eHLQ was translated from Danish and culturally adapted into the Norwegian language following a standardised protocol. Assessment of construct validity of the eHLQ was undertaken using data from a cross-sectional survey of 260 patients hospitalized at a Norwegian University Hospital in the Oslo area during a two-week period in June 2021. The analysis included using correlation analysis (Pearsons R), internal consistency (Cronbach's alpha) and confirmatory factor analysis (CFA).

RESULTS

All factor loadings were high to acceptable (i.e. > 0.6), except for five items which had somewhat lower loadings. Regarding internal consistency, alpha ranged from 0.73 to 0.90. For optimal CFA fit for the different scale models, correlated residuals were required for five of the seven scales. Overall our analysis shows an intermediate fit of the orginal construct. Scale intercorrelations were all below 0.8, indicating an overall acceptable discriminant validity between the 7 dimensions.

CONCLUSIONS

The results from the CFA analysis indicate that for almost all 7 eHLQ scales, an acceptable model fit was achieved. The 260 hospitalized patients included in this study represented a variety of diagnoses, recruited from a geographically limited area. Further studies on psychometric properties of the Norwegian version of eHLQ in larger samples, diverse settings and by using more comprehensive approaches are warranted.

Translation, cultural adaptation and validity assessment of the Dutch version of the eHealth Literacy Questionnaire: a mixed-method approach

BACKGROUND

The digitalization of healthcare requires users to have sufficient competence in using digital health technologies. In the Netherlands, as well as in other countries, there is a need for a comprehensive, person-centered assessment of eHealth literacy to understand and address eHealth literacy related needs, to improve equitable uptake and use of digital health technologies.

OBJECTIVE

We aimed to translate and culturally adapt the original eHealth Literacy Questionnaire (eHLQ) to Dutch and to collect initial validity evidence.

METHODS

The eHLQ was translated using a systematic approach with forward translation, an item intent matrix, back translation, and consensus meetings with the developer. A validity-driven and multi-study approach was used to collect validity evidence on 1) test content, 2) response processes and 3) internal structure. Cognitive interviews (n = 14) were held to assess test content and response processes (Study 1). A pre-final eHLQ version was completed by 1650 people participating in an eHealth study (Study 2). A seven-factor Confirmatory Factor Analysis (CFA) model was fitted to the data to assess the internal structure of the eHLQ. Invariance testing was performed across gender, age, education and current diagnosis.

RESULTS

Cognitive interviews showed some problems in wording, phrasing and resonance with individual's world views. CFA demonstrated an equivalent internal structure to the hypothesized (original) eHLQ with acceptable fit indices. All items loaded substantially on their corresponding latent factors (range 0.51-0.81). The model was partially metric invariant across all subgroups. Comparison of scores between groups showed that people who were younger, higher educated and who had a current diagnosis generally scored higher across domains, however effect sizes were small. Data from both studies were triangulated, resulting in minor refinements to eight items and recommendations on use, score interpretation and reporting.

CONCLUSION

The Dutch version of the eHLQ showed strong properties for assessing eHealth literacy in the Dutch context. While ongoing collection of validity evidence is recommended, the evidence presented indicate that the eHLQ can be used by researchers, eHealth developers and policy makers to identify eHealth literacy needs and inform the development of eHealth interventions to ensure that people with limited digital access and skills are not left behind.

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.

eHealth Literacy of Australian Undergraduate Health Profession Students: A Descriptive Study

Rapid growth in digital health technologies has increased demand for eHealth literacy of all stakeholders within health and social care environments. The digital future of health care services requires the next generation of health professionals to be well-prepared to confidently provide high-quality and safe health care. The aim of this study was to explore the eHealth literacy of undergraduate health profession students to inform undergraduate curriculum development to promote work-readiness. A cross-sectional survey was undertaken at an Australian university using the seven-domain eHealth Literacy Questionnaire (eHLQ), with 610 students participating. A one-way Multivariate Analysis of Variance (MANOVA) with follow-up univariate analysis (ANOVA) was used to determine if there were differences in eHLQ scores across 11 sociodemographic variables. Students generally had good knowledge of health (Scale 2); however, they had concerns over the security of online health data (Scale 4). There were also significant differences in age and ownership of digital devices. Students who were younger reported higher scores across all seven eHLQ scales than older students. This research provided an understanding of eHealth literacy of health profession students and revealed sub-groups that have lower eHealth literacy, suggesting that digital health skills should be integrated into university curriculums, especially related to practice-based digital applications with special focus to address privacy and security concerns. Preparation of health profession students so they can efficiently address their own needs, and the needs of others, is recommended to minimise the digital divide within health and social care environments.

[A case of generalized infection with low virulent tubercle bacilli indistinguishable from BCG, showing proliferation of histiocytes with numerous bacilli but without epithelioid granuloma (author's transl)]

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.