Validating an electronic health literacy scale in an older hispanic population

Aponte, Judith; Nokes, Kathleen M.

doi:10.1111/jocn.13763

Cited by 32 publications

(26 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the summated single total score of eHEALS, health-care providers can quickly and easily understand the eHealth literacy of an individual. The finding of a unidimensional construct also aligns with most previous studies using principal component analysis, exploratory factor analysis, or Rasch analysis on different populations (Aponte & Nokes, 2015, 2017; Diviani, Dima, & Schulz, 2017; Koo et al, 2012; Mitsutake et al, 2012; Nguyen et al, 2016; Norman & Skinner, 2006; Paige et al, 2017). However, the unidimensional finding contradicts the results of two recently published studies (Hyde, Boyes, Evans, Mackenzie, & Sanson-Fisher, 2018; Sudbury, FitzPatrick, & Schulz, 2017), which proposed a three-factor structure for the eHEALS.…”

Section: Discussionsupporting

confidence: 88%

“…In order to appropriately use online resources for health purposes, Norman and Skinner (2006) developed the eHealth Literacy Scale (eHEALS) for clinical decision-making. Because of the brevity and utility of the eHEALS, it has been translated into different languages including Japanese (Mitsutake, Shibata, Ishii, & Oka, 2012), Chinese (Koo, Norman, & Chang, 2012), Dutch (Van der Vaart et al, 2011), and Spanish (Aponte & Nokes, 2015, 2017) and validated in different populations. However, given that elder people may have barriers or problems to learn and use e-resources (Vaportzis, Clausen, & Gow, 2017), it is unclear whether the eHEALS is a practical and valid tool for elders.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure

et al. 2019

View full text Add to dashboard Cite

The purpose of the present study was to examine the psychometric properties of the eHealth Literacy Scale (eHEALS) using classical test theory and modern test theory among elderly Iranian individuals with heart failure (HF). Individuals with objectively verified HF (n=388; 234 males; mean age=68.9±3.4) completed the (i) eHEALS, (ii) Hospital Anxiety and Depression Scale, Short-Form 12, (iii) 9-item European Heart Failure Self-care Behavior Scale, and (iv) 5-item Medication Adherence Report Scale. Two types of analysis were carried out to evaluate the factorial structure of the eHEALS: (i) confirmatory factor analysis (CFA) using classical test theory and (ii) Rasch analysis using modern test theory. A regression model was constructed to examine the associations between eHEALS and other instruments. CFA supported the one-factor structure of the eHEALS with significant factor loadings for all items. Rasch analysis also supported the unidimensionality of the eHEALS with item fit statistics ranging between 0.5 and 1.5. The eHEALS was significantly associated with all the external criteria. The eHEALS is suitable for healthcare providers to assess eHealth literacy for individuals with HF.

show abstract

Section: Discussionsupporting

confidence: 88%

mentioning

confidence: 99%

Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The eHEALS has been adapted to different languages in Asia [ 5 , 10 - 13 ] and Europe [ 14 - 18 ]. Furthermore, the psychometrics properties have been evaluated in different populations such as in students [ 4 , 12 , 15 , 19 , 20 ], adults [ 9 , 11 , 16 - 18 , 21 ], and patients with chronic diseases [ 5 , 14 , 22 , 23 ], as well as in different cultures in Australia [ 9 , 24 ] and North America [ 9 , 17 , 20 - 22 ]. The internal consistency reliability coefficient was shown to be acceptable (ranging from .80 to .90) in the majority of the linguistic versions of the eHEALS [ 4 , 11 - 13 , 15 - 19 , 23 ], indicating a reliable scale.…”

Section: Introductionmentioning

confidence: 99%

Psychometric Properties of the Norwegian Version of the Electronic Health Literacy Scale (eHEALS) Among Patients After Percutaneous Coronary Intervention: Cross-Sectional Validation Study

et al. 2020

View full text Add to dashboard Cite

Background Web-based technology has recently become an important source for sharing health information with patients after an acute cardiac event. Therefore, consideration of patients’ perceived electronic health (eHealth) literacy skills is crucial for improving the delivery of patient-centered health information. Objective The aim of this study was to translate and adapt the eHealth Literacy Scale (eHEALS) to conditions in Norway, and to determine its psychometric properties. More specifically, we set out to determine the reliability (internal consistency, test-retest) and construct validity (structural validity, hypotheses testing, and cross-cultural validity) of the eHEALS in self-report format administered to patients after percutaneous coronary intervention. Methods The original English version of the eHEALS was translated into Norwegian following a widely used cross-cultural adaptation process. Internal consistency was calculated using Cronbach α. The intraclass correlation coefficient (ICC) was used to assess the test-retest reliability. Confirmatory factor analysis (CFA) was performed for a priori-specified 1-, 2-, and 3-factor models. Demographic, health-related internet use, health literacy, and health status information was collected to examine correlations with eHEALS scores. Results A total of 1695 patients after percutaneous coronary intervention were included in the validation analysis. The mean age was 66 years, and the majority of patients were men (1313, 77.46%). Cronbach α for the eHEALS was >.99. The corresponding Cronbach α for the 2-week retest was .94. The test-retest ICC for eHEALS was 0.605 (95% CI 0.419-0.743, P<.001). The CFA showed a modest model fit for the 1- and 2-factor models (root mean square error of approximation>0.06). After modifications in the 3-factor model, all of the goodness-of-fit indices indicated a good fit. There was a weak correlation with age (r=–0.206). Between-groups analysis of variance showed a difference according to educational groups and the eHEALS score, with a mean difference ranging from 2.24 (P=.002) to 4.61 (P<.001), and a higher eHEALS score was found for patients who were employed compared to those who were retired (mean difference 2.31, P<.001). The eHEALS score was also higher among patients who reported using the internet to find health information (95% CI –21.40 to –17.21, P<.001), and there was a moderate correlation with the patients’ perceived usefulness (r=0.587) and importance (r=0.574) of using the internet for health information. There were also moderate correlations identified between the eHEALS score and the health literacy domains appraisal of health information (r=0.380) and ability to find good health information (r=0.561). Weak correlations with the mental health composite score (r=0.116) and physical health composite score (r=0.116) were identified. Conclusions This study provides new information on the psychometric properties of the eHEALS for patients after percutaneous coronary intervention, suggesting a multidimensional rather than unidimensional construct. However, the study also indicated a redundancy of items, indicating the need for further validation studies. Trial Registration ClinicalTrials.gov NCT03810612; https://clinicaltrials.gov/ct2/show/NCT03810612

show abstract

“…eHEALS was developed and validated in 2006 on Canadian adolescents during an RCT measuring the efficacy of an online anti-smoking intervention [ 27 ]. Subsequently, the reliability and validity of eHEALS has been shown in a representative sample from the general population [ 12 ], in chronic patients [ 35 , 36 ], people with low socioeconomic status [ 37 ], the elderly [ 38 ] as well as interculturally [ 39 ], in several languages [ 12 , 23 , 40 – 45 ] and in phone-based surveys [ 12 , 46 ]. In addition to classical test theory methods, the psychometric properties of eHEALS have been tested using the methods of item-response theory (IRT) [ 35 , 36 , 41 ].…”

Section: Introductionmentioning

confidence: 99%

Psychometric properties of the Hungarian version of the eHealth Literacy Scale

et al. 2019

View full text Add to dashboard Cite

Background We adapted the eHealth Literacy Scale (eHEALS) for Hungary and tested its psychometric properties on a large representative online sample of the general population. Methods The Hungarian version of eHEALS was developed using forward–backward translation. For the valuation study, 1000 respondents were recruited in early 2019 from a large online panel by a survey company. We tested internal consistency, test–retest reliability and construct and criterion validity using classical test theory, as well as item characteristics using an item-response theory (IRT) graded response model (GRM). Results 55% of respondents were female, and 22.1% were ≥ 65 years old. Mean eHEALS score was 29.2 (SD: 5.18). Internal consistency was good (Cronbach’s α = 0.90), and test–retest reliability was moderate (intraclass correlation r = 0.64). We identified a single-factor structure by exploratory factor analysis, explaining 85% of test variance. Essential criteria for GRM analysis were met. Items 3 and 4 (search of health resources) were the least difficult, followed by items 5 and 8 (utilisation of health information), and then items 1 and 2 (awareness of health resources). Items 6 and 7 (appraisal of health resources) were most difficult. The measurement properties of eHEALS were not affected by gender, age, education or income levels. Female gender, older age, intensity of health information seeking, formal health education and visit at the electronic health-record website were associated with higher eHEALS scores, as well as best and worst self-perceived health states, BMI < 25 and participation at health screenings over the past year. Conclusions The Hungarian eHEALS is a useful and valid tool for measuring subjective eHealth literacy. Electronic supplementary material The online version of this article (10.1007/s10198-019-01062-1) contains supplementary material, which is available to authorized users.

show abstract

Validating an electronic health literacy scale in an older hispanic population

Abstract: Knowledge in self-management is related to positive health outcomes; all persons irrespective of their electronic health literacy should be able to use all sources of health information to enhance their self-care.

Cited by 32 publications

References 30 publications

Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure

Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure

Psychometric Properties of the Norwegian Version of the Electronic Health Literacy Scale (eHEALS) Among Patients After Percutaneous Coronary Intervention: Cross-Sectional Validation Study

Psychometric properties of the Hungarian version of the eHealth Literacy Scale

Contact Info

Product

Resources

About