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eHEALS: The eHealth Literacy Scale
Open accessAbstract
BACKGROUND: Electronic health resources are helpful only when people are able to use them, yet there remain few tools available to assess consumers' capacity for engaging in eHealth. Over 40% of US and Canadian adults have low basic literacy levels, suggesting that eHealth resources are likely to be inaccessible to large segments of the population. Using information technology for health requires eHealth literacy-the ability to read, use computers, search for information, understand health information, and put it into context. The eHealth Literacy Scale (eHEALS) was designed (1) to assess consumers' perceived skills at using information technology for health and (2) to aid in determining the fit between eHealth programs and consumers. OBJECTIVES: The eHEALS is an 8-item measure of eHealth literacy developed to measure consumers' combined knowledge, comfort, and perceived skills at finding, evaluating, and applying electronic health information to health problems. The objective of the study was to psychometrically evaluate the properties of the eHEALS within a population context. A youth population was chosen as the focus for the initial development primarily because they have high levels of eHealth use and familiarity with information technology tools. METHODS: Data were collected at baseline, post-intervention, and 3- and 6-month follow-up using control group data as part of a single session, randomized intervention trial evaluating Web-based eHealth programs. Scale reliability was tested using item analysis for internal consistency (coefficient alpha) and test-retest reliability estimates. Principal components factor analysis was used to determine the theoretical fit of the measures with the data. RESULTS: A total of 664 participants (370 boys; 294 girls) aged 13 to 21 (mean = 14.95; SD = 1.24) completed the eHEALS at four time points over 6 months. Item analysis was performed on the 8-item scale at baseline, producing a tight fitting scale with alpha = .88. Item-scale correlations ranged from r = .51 to .76. Test-retest reliability showed modest stability over time from baseline to 6-month follow-up (r = .68 to .40). Principal components analysis produced a single factor solution (56% of variance). Factor loadings ranged from .60 to .84 among the 8 items. CONCLUSIONS: The eHEALS reliably and consistently captures the eHealth literacy concept in repeated administrations, showing promise as tool for assessing consumer comfort and skill in using information technology for health. Within a clinical environment, the eHEALS has the potential to serve as a means of identifying those who may or may not benefit from referrals to an eHealth intervention or resource. Further research needs to examine the applicability of the eHEALS to other populations and settings while exploring the relationship between eHealth literacy and health care outcomes.
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“Moreover, social determinants of health may affect the adoption of digital health, requiring the personalization of digital devices and navigation.57-59”
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Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
Self-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,451
Nutbeam, D. (2000) · Health Promotion International · doi:10.1093/heapro/15.3.259 · Cited by 5,205
A First Course in Factor Analysis
Comrey, A. L., & Lee, H. B. (2013) · doi:10.4324/9781315827506 · Cited by 4,546
eHealth Literacy: Essential Skills for Consumer Health in a Networked World.
Norman, C. D., & Skinner, H. A. (2006) · Journal of Medical Internet Research · doi:10.2196/jmir.8.2.e9 · Cited by 2,643
Self-citation(2007) · Sage eBooks · doi:10.4135/9781412952644.n300 · Cited by 2,589
Horst, P. (1948) · Psychological Bulletin · doi:10.1037/h0052785 · Cited by 1,555
Health Literacy Among Medicare Enrollees in a Managed Care Organization
Gazmararian, J. A. (1999) · JAMA · doi:10.1001/jama.281.6.545 · Cited by 876
Infodemiology: the epidemiology of (mis)information
Eysenbach, G. (2002) · The American Journal of Medicine · doi:10.1016/s0002-9343(02)01473-0 · Cited by 527
Skinner, H. A., Biscope, S., Poland, B. D., & Goldberg, E. (2003) · Journal of Medical Internet Research · doi:10.2196/jmir.5.4.e32 · Cited by 371
Self-citationThe Internet: A window on adolescent health literacy
Gray, N. J., Klein, J. D., Noyce, P., Sesselberg, T. S., & Cantrill, J. A. (2005) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2004.08.023 · Cited by 202
Quality of internet access: barrier behind internet use statistics
Skinner, H. A., Biscope, S., & Poland, B. D. (2003) · Social Science & Medicine · doi:10.1016/s0277-9536(02)00455-0 · Cited by 154
Self-citationLiteracy and Health in Canada: Is it Really a Problem?
Rootman, I. (2003) · Canadian Journal of Public Health · doi:10.1007/bf03405074 · Cited by 22
Rating information on the internet can empower users to make informed decisions
Eysenbach, G. (1999) · BMJ · doi:10.1136/bmj.319.7206.385b · Cited by 15
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1 of the 16 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Norman, CD, 2002, Consumer perspectives on e-Health. In: Skinner H. Promoting health through organizational change, 315
- Eysenbach, G, 2001, Consumer health informatics in the Internet age. In: Edwards A, Elwyn G, editors. Evidence-based patient choice: inevitable or impossible, 289
- SPSS Base [computer software], 2003, Version 11.5
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Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Public health and online misinformation: challenges and recommendations
Swire-Thompson, B., & Lazer, D. (2020) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-040119-094127 · Cited by 1,170
Kontos, E., Blake, K. D., Chou, W.-Y. S., & Prestin, A. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.3117 · Cited by 917
Choi, N. G., & DiNitto, D. M. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2645 · Cited by 871
eHealth Literacy: Extending the Digital Divide to the Realm of Health Information
Neter, E., & Brainin, E. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1619 · Cited by 863
Metadata
- Authors
- Norman, C. D., & Skinner, H. A.
- Affiliations
- University of Toronto (CA)
- York University (CA)
- Corresponding author
- Norman, Cameron D
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2006-11-14
- Volume
- 8
- Issue
- 4
- Pages
- e27
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC1794004
- OpenAlex
- W1967390644
- Cited by
- 2,680
- References
- 16
- Citations by year
- 2026: 443 · 2025: 402 · 2024: 329 · 2023: 293 · 2022: 273 · 2021: 209 · 2020: 178 · 2019: 123 · 2018: 97 · 2017: 79 · 2016: 57 · 2015: 58 · 2014: 37 · 2013: 19 · 2012: 29
- FWCI
- 12.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed (publishedVersion)
- TSpace (University of Toronto) (submittedVersion, cc-by)
- Funders
- Health Canada
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Keywords
- digital health literacy, eHealth Literacy Scale, scale development, psychometric properties, youth, adolescents, health information seeking, perceived skills, test-retest reliability, internal consistency, factor structure, low-literacy populations, health information application
- MeSH terms
- Adolescent, Adult, Canada, Computer Literacy, Consumer Behavior, Factor Analysis, Statistical, Female, Health Education, Health Promotion, Humans, Health Knowledge, Attitudes, Practice, Male, Pilot Projects, Psychometrics, Surveys and Questionnaires, Reproducibility of Results, Adolescent Health Services, Information Dissemination
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