Validation of the Ethiopian Version of eHealth Literacy Scale (ET-eHEALS) in a Population with Chronic Disease

Psychometric Analysis of the eHealth Literacy Scale in Portuguese Older Adults (eHEALS-PT24): Instrument Development and Validation

BACKGROUND

In this era of digitalization, eHealth interventions are used to engage patients in health care and help them manage their health. Previous studies showed that this can be particularly interesting for chronic disease self-management and self-care in older adults. Despite older adults becoming increasingly active on the internet, they continue to struggle in using eHealth information due to inadequate eHealth literacy. Thus, assessing and monitoring eHealth literacy is critical to support eHealth interventions.

OBJECTIVE

This study aimed to describe the translation, adaptation, and validation process of the eHealth Literacy Scale (eHEALS) in Portuguese older adults.

METHODS

The cross-cultural adaption followed the steps of forward and blinded backward translations, evaluation of the translations by a committee of judges, pilot-testing, and full psychometric testing. We tested the psychometric properties of the eHEALS by carrying out two studies: general psychometric analysis (study 1) and confirmatory factor analysis (study 2). Study 1 included 80 older adults conveniently selected from a Health Family Unit. Data were collected by in-person questionnaires between May and July 2022. Study 2 included 301 older adults randomly selected from two distinct Health Family Units. Data were collected by in-person questionnaires between May and July 2023.

RESULTS

We tested stability, reliability, construct validity (exploratory and confirmatory factor analyses and known groups), and model fit. Study 1 had 58.8% (47/80) male and 41.3% (33/80) female respondents (mean age 71.20, SD 5.26 years). Study 2 had 56.5% (170/301) male and 43.5% (131/301) female respondents (mean age 71.77, SD 5.15 years). Moderate and strong correlations were identified in the scale items (study 1: 0.42≤r≤0.91 and study 2: 0.81≤r≤0.96; P<.001). The scale showed good internal consistency for study 1 (α=.92) and study 2 (α=.98), with high correlations between items. The exploratory factor analysis yielded a single-factor structure, explaining 58.3% of the variance in study 1 and 86.4% in study 2. In the confirmatory analysis (study 2), the model fit was mixed (χ²20=265, P<.001; comparative fit index=0.94; Tucker-Lewis Index=0.91; root mean square error of approximation=0.20). Thus, we compared 1-, 2-, and 3-factor structures, deciding on the unidimensional one. In study 1, the eHEALS-PT24 (Portuguese version of the eHealth Literacy Scale for older adults) mean score was 27.25 (SD 5.61), with 43.8% (35/80) and 11.3% (9/80) of participants showing low and high eHealth literacy levels, respectively. In study 2, the eHEALS-PT24 mean score was 23.31 (SD 9.53), with 38.2% (115/301) and 23.6% (71/301) of participants showing low and high eHealth literacy levels, respectively. The known-groups analysis showed statistically significant differences between eHealth literacy and demographic variables (P<.001).

CONCLUSIONS

The findings suggest that the eHEALS-PT24 is a reliable and valid tool to assess eHealth literacy in Portuguese older adults. Therefore, this instrument can be integrated to support the implementation process of eHealth interventions.

Effects of e-educational programmes among older adults with non-communicable diseases: a protocol of systematic review and meta-analysis

INTRODUCTION

Non-communicable diseases (NCDs) are the leading cause of death worldwide, and NCDs account for 61.4% of all disability-adjusted life years worldwide. The global cost of NCDs is estimated to exceed 30 trillion dollars over the period 2011-2030, representing 48% of the global gross domestic product. Older adults are the common group affected by NCDs, characterised by an insidious onset, a long course, and a protracted illness. The incidence of these diseases is increasing every year, posing a severe threat to human health and quality of life. E-educational programmes about NCDs are essential for older adults because they are the main body of patients with NCDs, and their understanding of health is uneven and inaccurate. This protocol describes a systematic review to determine the effectiveness of e-educational programme methods for NCDs in older adults. This protocol aims to summarise and critically evaluate the impact of e-educational programmes on older adult patients with NCDs and to provide direction for developing interventions to improve their quality of life and NCD health management programmes.

METHODS AND ANALYSIS

The search was performed in the databases PubMed, Cochrane Library, Web of Science, EMBASE, MEDLINE, China Biology Medicine, China National Knowledge Infrastructure and Wan Fang Data using established search terms. All randomised controlled trials on e-educational programmes for patients with NCDs published in recent 10 years (2013-2023) will be included. The risk of bias in the included study will be assessed using the Cochrane risk of bias tool after two authors have independently screened the literature. With regard to the quality of the evidence, Grading of Recommendations Assessment, Development and Evaluation analysis will be used. If the data are aggregated, then meta-analysis will be performed using RevMan V.5.4.

PROSPERO REGISTRATION NUMBER

CRD42023455272.

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.

eHealth literacy of migrant domestic workers in Hong Kong in the COVID-19 pandemic: A mixed methods study

BACKGROUND

Health communication in the COVID-19 pandemic can be effectively implemented if all members of the populations, including marginalized population such as migrant domestic workers (MDWs), have good eHealth literacy. Lessons learned during this critical period may help improve planning and mitigation of the impacts of future health crises.

METHODS

This study aimed to examine and explore the eHealth literacy levels of the MDWs in Hong Kong during the COVID-19 pandemic by using a convergent mixed methods research design. A total of 1156 Hong Kong MDWs participated in a paper-based survey using a multistage cluster random sampling design for the quantitative component. eHealth literacy was measured using an eHealth literacy Scale (eHEALS). For the qualitative component, a purposive sampling of 19 MDWs participated in face-to-face, semi-structured, in-depth interviews. Descriptive statistics and multiple regression analyses were used to carry out the quantitative analysis, while thematic analysis was used for the qualitative analysis. Both quantitative and qualitative data were merged and integrated for mixed-methods analysis.

RESULTS

The meta-inferences of the quantitative and qualitative results mainly confirmed that MDWs in Hong Kong had good levels of eHealth literacy. The use of Instagram, YouTube and WhatsApp as the COVID-19 information sources, in addition to having an interest in the topic of the current spread of COVID-19 together with the Hong Kong government's policies related to COVID-19, were found to be associated with eHealth literacy.

CONCLUSIONS

The eHealth literacy level of MDWs in Hong Kong was shown to be good and it was influenced by the use of popular social media platforms including Instagram, YouTube, and WhatsApp. It is realistic to suggest that such platforms should be harnessed for health communication during the pandemic. Yet, regulations to combat false information on these media are also urgently needed.

Health Literacy in Ethiopia: Evidence Synthesis and Implications

Background

Health literacy plays a pivotal role in healthcare utilization and health-related lifestyle choices. This makes health literacy a pressing concern, particularly in low-income countries like Ethiopia, where there are intricate health challenges. Despite its significance, there is a dearth of studies on the issue in Ethiopia. This study aimed to provide a comprehensive synthesis of the available evidence on health literacy in Ethiopia, and to discuss the implications for healthcare practice, health promotion, and research endeavors.

Methods

A systematic scoping review was conducted to achieve the purpose of this study. A comprehensive search of databases such as PubMed, CINAHL, AJOL, and PLOS Global Public Health was conducted for eligible evidence. Searches were conducted from May 12 to September 9, 2022. The PRISMA flow diagram guideline was utilized to ensure transparent reporting of the reviews process. The data extraction tool used was based on the JBI methodology guidance for reviews.

Results

The search in total yielded 543 records. However, only 16 studies met the eligibility criteria after a thorough screening process. All eligible studies were conducted in health facilities and schools with limited scopes. The main findings of the eligible studies focused on health literacy levels, health information sources, and health literacy determinants among the studies participants. Many of the studies reported low health literacy levels and multiple predicting factors ranging from personal to socioeconomic conditions among the respondents.

Conclusion

This review has provided critical insights into the state of health literacy in Ethiopia. There is a need for comprehensive research and the development of context-appropriate health literacy measurements tailored to the Ethiopian context, as well as evidence-based health literacy interventions. Prioritizing health literacy as a key research and intervention area is essential for improving the health of individuals and populations and achieving health-related Sustainable Development Goals in Ethiopia.

Factor Structure of the eHEALS

Abstract. The dimensionality of the eHEALS has been the subject of some controversy. Sample populations and language versions vary widely, as do the employed statistical methods to assess dimensionality. In previous research, we assessed the factor structure in two different samples testing 1 vs. 2 and 1 vs. 2 vs. 3 correlated factors. The objective of this reanalysis was to assess whether the 3-factor model fitted better than the 2- and 1-factor models. We analyzed data from a 2009 cross-sectional survey on health literacy in grade 12 ( n = 327) using CFA. All factor models of the eHEALS showed unsatisfactory model fit. A subsequent exploratory bifactor analysis confirmed multidimensionality and indicated that Item 2 was problematic. When this item was excluded from the correlated factor models, model fit improved, and the 3-factor model showed the best fit. The results in our sample of 12th-grade students offer some support to the German eHEALS having a 3-factor structure similar to the results from our previous research in women aged 50. The replicability of the fit pattern in a different sample and setting was limited by diverging results on Item 2.

Translation and Validation Study of the French Version of the eHealth Literacy Scale: Web-Based Survey on a Student Population

BACKGROUND

eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an easy-to-administer 8-item questionnaire (5-point Likert scale, ranging from strongly disagree to strongly agree) that has already been translated into many languages. Currently, it is the most cited questionnaire in the literature.

OBJECTIVE

The aim of this study was to translate eHEALS to French and validate the French version of eHEALS (F-eHEALS).

METHODS

The validation of the F-eHEALS scale followed the 5 steps of the transcultural validation method: double reverse translation, validation by a committee of experts (n=4), pretest measurement to check the clarity of the items (n=22), administration of the scale in French via a web-based quantitative study combined with two other questionnaires (Health Literacy Survey-Europe-16 and Patient Activation Measure-13; N=328 students), and finally test-retest (n=78) to check the temporal stability of the measurements obtained from the scale.

RESULTS

The results obtained for the measurement of factor structure, internal consistency, and temporal stability (intraclass correlation coefficient=0.84; 95% CI 0.76-0.9; F77,77=6.416; P<.001) prove the validity and fidelity of the proposed scale. The internal consistency of F-eHEALS was estimated by Cronbach α of .89. The factor analysis with varimax rotation used to validate the construct showed a 2-factor scale. The effect of the construct was analyzed using 3 hypotheses related to the theory. The F-eHEALS score was correlated with the Health Literacy Survey-Europe-16 score (r=0.34; P<.001) and the Patient Activation Measure-13 score (r=0.31; P<.001).

CONCLUSIONS

F-eHEALS is consistent with the original version. It presents adequate levels of validity and fidelity. This 2D scale will need to be generalized to other populations in a French-speaking context. Finally, a version taking into account collaborative applications (ie, Health 2.0; eg, Digital Health Literacy Instrument scale) should be considered on the basis of this study.

Measuring health literacy: A systematic review and bibliometric analysis of instruments from 1993 to 2021

BACKGROUND

It has been about 30 years since the first health literacy instrument was developed. This study aimed to review all existing instruments to summarize the current knowledge on the development of existing measurement instruments and their possible translation and validation in other languages different from the original languages.

METHODS

The review was conducted using PubMed, Web of Science, Scopus, and Google Scholar on all published papers on health literacy instrument development and psychometric properties in English biomedical journals from 1993 to the end of 2021.

RESULTS

The findings were summarized and synthesized on several headings, including general instruments, condition specific health literacy instruments (disease & content), population- specific instruments, and electronic health. Overall, 4848 citations were retrieved. After removing duplicates (n = 2336) and non-related papers (n = 2175), 361 studies (162 papers introducing an instrument and 199 papers reporting translation and psychometric properties of an original instrument) were selected for the final review. The original instruments included 39 general health literacy instruments, 90 condition specific (disease or content) health literacy instruments, 22 population- specific instruments, and 11 electronic health literacy instruments. Almost all papers reported reliability and validity, and the findings indicated that most existing health literacy instruments benefit from some relatively good psychometric properties.

CONCLUSION

This review highlighted that there were more than enough instruments for measuring health literacy. In addition, we found that a number of instruments did not report psychometric properties sufficiently. However, evidence suggest that well developed instruments and those reported adequate measures of validation could be helpful if appropriately selected based on objectives of a given study. Perhaps an authorized institution such as World Health Organization should take responsibility and provide a clear guideline for measuring health literacy as appropriate.

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.

A Comprehensive Analysis of E-Health Literacy Research Focuses and Trends

Objective: To sort out the research focuses in the field of e-health literacy, analyze its research topics and development trends, and provide a reference for relevant research in this field in the future. Methods: The literature search yielded a total of 431 articles retrieved from the core dataset of Web of Science using the keywords “ehealth literacy”, “E-health literacy” and “electronic health literacy”. A bibliometric analysis was performed by using CiteSpace to explore the development history, hot themes, and trends of future research in the field of e-health literacy. Results: The thematic evolution path in e-health literacy was divided into three stages. The research focuses were inspected from four aspects: evaluation, correlation with health-promotion behaviors, influencing factors, and intervention measures for improvement. Conclusion: E-health literacy research faces challenges such as the development of the connotation of the term, the objectivity of evaluation methods, and the long-term impact of interventions. Future research themes in e-health literacy will include the standardization of evaluation instruments and the individualization of therapeutic strategies.

eHealth Literacy Instruments: Systematic Review of Measurement Properties

Background

The internet is now a major source of health information. With the growth of internet users, eHealth literacy has emerged as a new concept for digital health care. Therefore, health professionals need to consider the eHealth literacy of consumers when providing care utilizing digital health technologies.

Objective

This study aimed to identify currently available eHealth literacy instruments and evaluate their measurement properties to provide robust evidence to researchers and clinicians who are selecting an eHealth literacy instrument.

Methods

We conducted a systematic review and meta-analysis of self-reported eHealth literacy instruments by applying the updated COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) methodology.

Results

This study included 7 instruments from 41 articles describing 57 psychometric studies, as identified in 4 databases (PubMed, CINAHL, Embase, and PsycInfo). No eHealth literacy instrument provided evidence for all measurement properties. The eHealth literacy scale (eHEALS) was originally developed with a single-factor structure under the definition of eHealth literacy before the rise of social media and the mobile web. That instrument was evaluated in 18 different languages and 26 countries, involving diverse populations. However, various other factor structures were exhibited: 7 types of two-factor structures, 3 types of three-factor structures, and 1 bifactor structure. The transactional eHealth literacy instrument (TeHLI) was developed to reflect the broader concept of eHealth literacy and was demonstrated to have a sufficient low-quality and very low-quality evidence for content validity (relevance, comprehensiveness, and comprehensibility) and sufficient high-quality evidence for structural validity and internal consistency; however, that instrument has rarely been evaluated.

Conclusions

The eHealth literacy scale was the most frequently investigated instrument. However, it is strongly recommended that the instrument's content be updated to reflect recent advancements in digital health technologies. In addition, the transactional eHealth literacy instrument needs improvements in content validity and further psychometric studies to increase the credibility of its synthesized evidence.

Evaluating the psychometric properties of the eHealth Literacy Scale in Brazilian adults

OBJECTIVE

To translate and adapt the eHealth Literacy Scale for the cultural reality of Brazil and to evaluate the psychometric properties of its Brazilian Portuguese version.

METHODS

The instrument was translated and adapted to Brazilian Portuguese and applied to a sample of 502 individuals from 18 to 80 years old who lived in the surrounding areas of six Family Health Units of a city in the countryside of the state of São Paulo, Brazil. The data was evaluated using exploratory and confirmatory factor analysis, item response theory, and instrument reliability measures (Cronbach's alpha and McDonald's omega).

RESULTS

The eHealth Literacy Scale - Brazilian version (eHEALS-Br) presented an excellent internal consistency (α = 0.95 e ω = 0.95), with only one dimension and an explained variation of 81.79%.

CONCLUSIONS

The Brazilian version of the instrument showed excellent psychometric properties to measure the levels of digital health literacy in adults from the country.

Validity and reliability testing of the Indonesian version of the eHealth Literacy Scale during the COVID-19 pandemic

Nowadays, it is common for people to look for health care information on the internet. The eHealth Literacy Scale (eHEALS) is commonly used to measure eHealth literacy. As of the publication of this study, the Indonesian version for eHEALS has not been published even though eHealth literacy is necessary, especially in the current COVID-19 pandemic. We aimed to evaluate the validity and reliability of the Indonesian version of eHEALS (I-eHEALS). A total of 100 respondents in East Java were involved in this cross-sectional study. Pearson-product moment correlation method and construct validity were used to validate the results. The reliability was determined based on the Cronbach's alpha internal consistency measurement and intraclass correlation coefficient (ICC). The Pearson correlation analysis results are significantly higher (r > 0.254, p < 0.01) compared to the critical value table. Single factors accounting for 57.66% variance in the scales exhibit a unidimensional latent structure. The internal consistency between items is excellent as shown by the Cronbach's alpha coefficient (0.91). The ICC analysis shows an acceptable result (0.552, p < 0.01). The I-eHEALS is valid and reliable to be used for evaluating the eHealth literacy of the Indonesian population.