Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses

Richtering, Sarah Samantha; Morris, Rebecca; Soh, Sze‐Ee; Barker, Anna; Bampi, Fiona; Neubeck, Lis; Coorey, Genevieve; Mulley, John C.; Chalmers, John; Usherwood, Timothy; Peiris, David; Chow, Clara K; Redfern, Julie

doi:10.1371/journal.pone.0175372

Cited by 81 publications

(107 citation statements)

References 33 publications

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“…12,22,28 This was also concluded in the initial work by Norman and Skinner. 16 On the other hand, several studies have also shown an inherent structure with two 12,19,23,24 or three 12,30 factors reflecting the underlying content of electronic health literacy, as previously described.…”

Section: Introductionmentioning

confidence: 55%

“…This result is in line with total eHEALS scores reported in other studies. For instance, Richtering et al 19 reported a total eHEALS score of M=27.1 in a study including patients at risk of developing cardiovascular disease.…”

Section: Discussionmentioning

confidence: 99%

“…32 On the other hand, previous studies in which eHEALS has been tested and used have shown similarly high values for reliability. 19,21,22,24,[26][27][28][29] The analyses of factor structure of the eHEALS have shown variable results regarding dimensionality, also depending on the analyses used to examine the internal structure of the scale. Several studies have found the scale to be unidimensional with high loading on one single factor.…”

Section: Discussionmentioning

confidence: 99%

“…While several scales are available for measuring health literacy in general, scales developed to measuring eHealth literacy are less prevalent. 19,20 However, one instrument developed for this purpose, ad which has been widely used, is the eHealth Literacy Scale (eHEALS) developed by Norman and Skinner. 16 The eHEALS is a measurement containing 8 items reflecting eHealth literacy, and developed to measure persons' combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems.…”

Section: Introductionmentioning

confidence: 99%

“…Later studies have reported Cronbach's alpha coefficients between 0.80 and 0.97. 19,22,23,[26][27][28] The structural components of the eHEALS have been widely discussed, 12 and many studies have found that it appears as a unidimensional scale. 12,22,28 This was also concluded in the initial work by Norman and Skinner.…”

Section: Introductionmentioning

confidence: 99%

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<p>Testing Measurement Properties of the Norwegian Version of Electronic Health Literacy Scale (eHEALS) in a Group of Day Surgery Patients</p>

Dale¹,

Lüthi²,

Skaraas³

et al. 2020

JMDH

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Background and Aim: In order to assess patients' ability to search, understand, and benefit from Internet-based information, several screening tools have been developed. One of these tools, which has been widely used, is the eHealth Literacy Scale (eHEALS). The aim of this study was to examine the measurement properties of the Norwegian version of the eHEALS, as it was used in a group of patients undergoing day surgery. Methods: A cross-sectional survey study was conducted among 119 patients scheduled for day surgical treatment in a Norwegian hospital. The questionnaire included the screening tool eHEALS, which contains 8 items for assessing a person's information awareness skills, information seeking skills, and skills to evaluate and act based on the information. Cronbach's alpha coefficients and item-total correlations were assessed for estimating reliability of the eHEALS. Exploratory factor analysis with Oblimin rotation was used for assessing the validity of the scale. Eigenvalue was set to 1.0. Results: A Cronbach's alpha coefficient of 0.89 for the total scale, values >0.82 for Alpha if Item Deleted, and moderate to high item-total correlations supported the homogeneity and internal consistency of the scale. A two-component solution explained a total of 74.8% of the variance, with the first component explaining 59.53% of the variance in the scale and included the items reflecting information awareness and seeking. The second component explained 15.23% of the variance, including items reflecting the ability to evaluate and act. Conclusion: The reliability of the Norwegian version of eHEALS, used in a group of patients undergoing day surgery, was good. The internal structure, with two distinct factors, is in line with several previous studies. The eHEALS appears to be an appropriate tool for assessing eHealth literacy among this patient group.

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Section: Introductionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

<p>Testing Measurement Properties of the Norwegian Version of Electronic Health Literacy Scale (eHEALS) in a Group of Day Surgery Patients</p>

Dale¹,

Lüthi²,

Skaraas³

et al. 2020

JMDH

View full text Add to dashboard Cite

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Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study)

Erickson

Schinkoethe²,

Eckhardt

et al. 2021

Support Care Cancer

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Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study) Background E-health based patient-reported outcome measures (PROMs) have the potential to automate early identification of both nutrition status and distress status in cancer patients while facilitating treatment and encouraging patient participation. This cross-sectional study assessed the acceptability, accuracy, and clinical utility of PROMs collected via E-Health tools among patients undergoing treatment for stomach, colorectal, and pancreatic tumors. Results Eight-nine percent mostly, or completely, agreed that PROMs via tablets should be integrated in routine clinical care. Men were significantly more likely to require help completing the questionnaires than women (inv.OR= 0.51, 95% CI=(0.27, 0.95), p = 0.035). The level of help needed increased by 3% with each 1-year increase in age (inv. OR=1.03, 95% CI=(1.01, 1.06), p = 0.013). On average, a patient tended to declare weight which was 0.84 kg inferior to their true weight (Bland and Altman 95 % CI=(-3.9, 5.6); SD: 2.41) and a height which was 0.95 cm superior to their true height (Bland and Altman 95 % CI=(−5, 3.1); SD 2.08). Patient-reported nutrition status was significantly associated with the professionally generated assessment (95% CI=(2.27, 4.15), p < 0.001). As nutrition status declined, the distress score increased (95%CI=(0.88, 1.68), p < 0.001). Of the patients, 48.8% who were both distressed and malnourished requested supportive care to address their problems. Conclusion Patient-reported assessments utilizing E-health tools are an accurate and efficient method to encourage patient participation in cancer care while simultaneously ensuring that regular assessment of psycho-social and nutritional aspects of care are efficiently integrated in the daily clinical routine.

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Psychometric properties of the Hungarian version of the eHealth Literacy Scale

et al. 2019

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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.

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Examination of an eHealth literacy scale and a health literacy scale in a population with moderate to high cardiovascular risk: Rasch analyses

Cited by 81 publications

References 33 publications

<p>Testing Measurement Properties of the Norwegian Version of Electronic Health Literacy Scale (eHEALS) in a Group of Day Surgery Patients</p>

<p>Testing Measurement Properties of the Norwegian Version of Electronic Health Literacy Scale (eHEALS) in a Group of Day Surgery Patients</p>

Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study)

Psychometric properties of the Hungarian version of the eHealth Literacy Scale

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