ArticleBMC nursing2022
Development and psychometric evaluation of a new brief scale to measure eHealth literacy in people with type 2 diabetes.
Article in BMC nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- How Many Instruments Do We Need? Strengths, Weaknesses, and Potentials for Further Developments of Digital Health Literacy Measurement Instruments: Narrative Overview of Reviews and Content Analysis.Interactive journal of medical research · 2026Review
- Longitudinal Relationship of eHealth Literacy With Self-Management Via Self-efficacy in Individuals With Type 2 Diabetes: Autoregressive Cross-Lagged Modeling.The journal of nursing research : JNR · 2026Article
- Development and psychometric validation of a novel, self-report visual processing questionnaire (ViPro-SR) for neurodivergent adults.Current psychology (New Brunswick, N.J.) · 2026Article
- eHealth Literacy and Participation in Remote Blood Pressure Monitoring Among Patients With Hypertension: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Development and Validation of the Digital Health Literacy Questionnaire for Stroke Survivors: Exploratory Sequential Mixed Methods Study.Journal of medical Internet research · 2025Article
- Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes.BMC medical informatics and decision making · 2024Article
- The Development and Psychometric Testing of the Scale of Cultural Sensitivity of Health Care Professionals in Japan.Journal of transcultural nursing : official journal of the Transcultural Nursing Society · 2024Article
- Professionals Evaluating Clients' Suitability for Digital Health and Social Care: Scoping Review of Assessment Instruments.Journal of medical Internet research · 2023Article
- Childhood environmental harshness and unpredictability negatively predict eHealth literacy through fast life-history strategy.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe internet has become a major source of health information, and obtaining appropriate information requires various abilities and skills, labeled as electronic health literacy (eHealth literacy). The existing instruments for measuring eHealth literacy are outdated because they were developed during the Web 1.0 era, or not sufficiently sensitive for people with a specific condition or disease because they were designed to assess eHealth literacy over a broad range for a general population. Approximately one in ten adults worldwide live with diabetes. Health professionals have a responsibility to identify patients with low eHealth literacy to prevent them from obtaining misleading internet diabetes information.
aimsThe aims were to develop a condition-specific eHealth literacy scale for diabetes and to evaluate its psychometric properties among people with type 2 diabetes.
methodsAn instrument development design was used. This study recruited 453 people diagnosed with type 2 diabetes at the outpatient clinics of hospitals in 2021. Psychometric properties (internal consistency, measurement invariance, and content, structural, convergent, and known-groups validities) were analyzed.
resultsAn expert panel assessed content validity. Exploratory factor analysis, exploratory graph analysis, and confirmatory factor analysis (CFA) for structural validity yielded a two-factor solution (CFI = 0.977, SRMR = 0.029, RMSEA = 0.077). Cronbach's alpha and omega values were excellent for each factor (0.87-0.94). Multigroup CFA yielded configural and metric measurement invariance across the gender, age, and glycemic control status groups. Convergent validity with a comparator instrument to measure health literacy was supported by a moderate correlation, and known-groups validity determined using groups with different internet-use frequencies was satisfied with a high effect size.
conclusionA new condition-specific eHealth literacy scale for people with type 2 diabetes was developed, comprising 10 items. The scale exhibited good psychometric properties; however, test-retest reliability must be determined for the stability of the scale and cross-cultural validity is required among different languages. The brief scale has the merits of being feasible to use in busy clinical practice and being less burdensome to respondents. The scale can be applied in clinical trials of internet-based diabetes interventions for assessing the eHealth literacy of respondents.
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