Validating the eHealth Literacy Scale in Rural Adolescents
| Autor: | Leah C. Windsor, Alistair Windsor, Michael J. Lawler, Frances J. Feltner, Melissa Slone, Jarod T. Giger, Sheila Barnhart |
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| Rok vydání: | 2020 |
| Předmět: |
Adolescent
020205 medical informatics media_common.quotation_subject education Sample (statistics) 02 engineering and technology Structural equation modeling Literacy 03 medical and health sciences 0302 clinical medicine Surveys and Questionnaires 0202 electrical engineering electronic engineering information engineering eHealth Humans 030212 general & internal medicine Students Aged media_common Information seeking Public Health Environmental and Occupational Health Reproducibility of Results Telemedicine Confidence interval Confirmatory factor analysis Health Literacy Cross-Sectional Studies Scale (social sciences) Psychology Demography |
| Zdroj: | The Journal of Rural Health. 37:504-516 |
| ISSN: | 1748-0361 0890-765X |
| DOI: | 10.1111/jrh.12509 |
| Popis: | Purpose Given that the recent eHealth literacy literature supports the properties of the 3-factor eHealth literacy scale (eHEALS) model in samples with millennials, adults, and older adults, the appropriate next step is to establish whether the model can be reproduced in a rural adolescent sample. The purpose of this study was to evaluate the recent 3-factor model by Paige and associates with a sample of seventh-grade students. Methods This cross-sectional study included a subsample of students (n = 146) from 3 school districts in Appalachian Kentucky. We used confirmatory factor analysis (CFA) procedures and small sample model fit guidelines to evaluate our model, and the 1-sample bootstrap algorithm with bias-corrected and accelerated 95% confidence intervals to estimate associations among eHEALS and health and technology variables. Findings A total of 137 students, or 61% of enrolled seventh-grade students, completed the study. CFA results showed eHEALS 3-factor loadings-information awareness, information seeking, and information engagement-were high (≥0.63) and statistically significant. We observed evidence of a good model fit (root mean square error of approximation [RMSEA] = 0.07, standardized root mean square residual [SRMR] = 0.03, comparative fit index [CFI] = 0.99) and results are comparable with Paige and associates' model fit (RMSEA = 0.06, SRMR = 0.08, CFI = 0.98). Correlations showed that students with more access to technology were associated with higher information seeking (r = 0.31) and higher information engagement (r = 0.23). eHealth literacy scores did not differ by level of rurality or gender. Conclusions The 3-factor eHEALS is a reliable and valid instrument in assessing eHealth literacy in a group of rural seventh graders from Appalachian Kentucky. |
| Databáze: | OpenAIRE |
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