ArticlemHealth2026
Development and validation of an e-health literacy scale for pregnant women.
Article in mHealth, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
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Abstract
Background: Existing e-health literacy assessment tools fail to accurately assess the e-health literacy status of pregnant women. We aimed to develop an e-health literacy scale for pregnant women, and evaluate its psychometric properties. Methods: The scale may provide a scientific tool for evaluating the e-health literacy of pregnant women and developing targeted intervention plans. The initial constructs and items of the scale were developed through a literature review, qualitative analysis, and Delphi expert consultation based on the e-health literacy interactive model. Item analysis used a sample (n=220) of pregnant women in China to develop the formal scale. Additional participants (n=230) completed a survey to assess the internal consistency and test-retest reliability, and the content, construct, convergence and discrimination validity, of the scale. Results: The e-health literacy scale for pregnant women consisted of 22 items, and four dimensions including e-health information acquisition ability, e-health information evaluation ability, e-health information interaction ability, and e-health information application ability. The Cronbach's alpha coefficient was 0.937, test-retest reliability was 0.772, and the content validity index was 0.962. The cumulative variance contribution rate of the four common factors was 64.159%, the Kendall harmony coefficients were 0.386 and 0.439 (P<0.001), and the confirmatory factor analysis model had acceptable goodness-of-fit indices [χ Conclusions: The e-health literacy scale for pregnant women showed satisfactory psychometric properties and practice implications.
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