سامانه مدیریت نشریات علمی دانشگاه علوم پزشکی مشهد

Silva, Cláudia, Lopes, António, Azevedo, Vitor, Lopes, Francisco, Ribeiro, Leonardo, Machado Dias, Tomás. (1404). Digital Health Literacy: Comparing Factor Structures of the Portuguese eHEALS Using Confirmatory Factor Analysis. , 10(3), 67-80. doi: 10.22038/jhl.2025.84915.1688
Cláudia Ribeiro Silva; António Alves Lopes; Vitor Hugo Azevedo; Francisco Felix Lopes; Leonardo Vieira Ribeiro; Tomás Manuel Machado Dias. "Digital Health Literacy: Comparing Factor Structures of the Portuguese eHEALS Using Confirmatory Factor Analysis". , 10, 3, 1404, 67-80. doi: 10.22038/jhl.2025.84915.1688
Silva, Cláudia, Lopes, António, Azevedo, Vitor, Lopes, Francisco, Ribeiro, Leonardo, Machado Dias, Tomás. (1404). 'Digital Health Literacy: Comparing Factor Structures of the Portuguese eHEALS Using Confirmatory Factor Analysis', , 10(3), pp. 67-80. doi: 10.22038/jhl.2025.84915.1688
Silva, Cláudia, Lopes, António, Azevedo, Vitor, Lopes, Francisco, Ribeiro, Leonardo, Machado Dias, Tomás. Digital Health Literacy: Comparing Factor Structures of the Portuguese eHEALS Using Confirmatory Factor Analysis. , 1404; 10(3): 67-80. doi: 10.22038/jhl.2025.84915.1688

Digital Health Literacy: Comparing Factor Structures of the Portuguese eHEALS Using Confirmatory Factor Analysis

Journal of Health Literacy
مقاله 4، دوره 10، شماره 3 - شماره پیاپی 38، مهر 2025، صفحه 67-80    اصل مقاله (4.01 M)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22038/jhl.2025.84915.1688
نویسندگان
Cláudia Ribeiro Silva* ؛ António Alves Lopes؛ Vitor Hugo Azevedo؛ Francisco Felix Lopes؛ Leonardo Vieira Ribeiro؛ Tomás Manuel Machado Dias
Department of Physiotherapy, Escola Superior de Saúde do Alcoitão / Alcoitão School of Health Sciences, Alcoitão, Portugal.
چکیده
Background and Objectives: Digital health literacy is essential for navigating digital health environments safely, particularly for future health professionals. Validated assessment tools are crucial for understanding competency levels and guiding educational interventions. This study evaluated the construct validity and internal consistency of the Portuguese version of the eHealth Literacy Scale (eHEALS) among health sciences students. Two models were tested using Confirmatory Factor Analysis (CFA): a unidimensional model and a second-order bidimensional model.

Materials and Methods: A total of 375 undergraduate and postgraduate health sciences students (75.2% female, 23.2% male, 1.6% undisclosed) participated. CFA was performed to assess model fit using Chi-square divided by degrees of freedom (CMIN/DF), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Goodness-of-Fit Index (GFI), Root Mean Square Residual (RMR), and Akaike Information Criterion (AIC). Internal consistency was assessed via Cronbach’s alpha.

Results: Both models demonstrated very good fit. The bidimensional model showed slightly better fit (CMIN/DF=1.704, RMSEA=0.043, CFI=0.991, TLI=0.985, RMR=0.015, GFI=0.983, AIC=67.261) than the unidimensional model (CMIN/DF=1.767, RMSEA=0.045, CFI=0.990, TLI=0.983, RMR=0.017, GFI=0.980, AIC=68.047). The chi-square difference test (Δχ²=2.786, Δdf =1, p=0.095) indicated that both models were statistically comparable. Internal consistency was high (α=0.868 total, 0.850 Factor 1, 0.743 Factor 2).

Conclusion: The Portuguese version of eHEALS demonstrates good construct validity and internal consistency for assessing digital health literacy in higher education students. The bidimensional model, distinguishing between "Ability to Search for Online Health Information" and "Ability to Evaluate and Apply Health Information," provides a more detailed understanding of competency areas, helping to identify specific aspects for improvement and inform targeted educational interventions.
کلیدواژه‌ها
Digital Health Literacy؛ eHEALS؛ Confirmatory Factor Analysis؛ Internal Consistency؛ Health Sciences Students
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