https://orcid.org/0000-0002-7411-1411
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Abstract
Background
Although the measurement scale developed by Norman and Skinner is the widely used scale to assess consumers’ eHealth literacy, translating and validating the scale for the language of the target population under consideration is necessary. Amharic is the official national language of Ethiopia, with 29.3% of native speakers.
Methods
The total sample size calculated was 187 with 6% non-response rate. The internal consistency of the ET-eHEALS was measured using Cronbach’s alpha coefficient. Test–retest reliability was assessed by re-administering the ET-eHEALS questionnaire to 74 patients which is 40% of the total sample size. Construct validity was evaluated using exploratory factor analysis. The Kaiser–Meyer–Olkin (KMO) statistic and Bartlett’s test of sphericity were used to check the suitability of performing the factor analysis.
Results
Of the respondents, 63.1% (n=118) were males and 55.1% (n=103) were aged between 18 and 35 years, with 57.2% (n=107) of the participants being educated to high school diploma level or higher. Cronbach’s alpha coefficient for the translated ET-eHEALS total score was 0.94. Test–retest reliability of ET-eHEALS total score was acceptable for both agreements and consistent with ICC (interclass correlation coefficient) of 0.92. The KMO ratio of sampling appropriateness was acceptable (0.91), and Bartlett’s test of sphericity was significant with p < 0.001. The EFA (exploratory factor analysis) extracted two factors based on an extraction principle of a minimum eigenvalue of one. The extracted factor explained 80.2% of the common variance which is 51.8% for factor 1 and 28.4% for factor 2. Except for item, item fit for both infit and outfit mean squares were within the adequate range (0.5–1.5).
Conclusion
This study depicted that ET-eHEALS is a consistent and valid instrument to evaluate Amharic-speaking chronic patients’ eHealth literacy level. Since there is no prior validation of eHEALS in low-income country, this finding may indicate important directions for further improvement in eHEALS item performance in resource-limited settings.
Acknowledgment
The author of this study would like to thank all participants for their time and collaboration during data collection.
Data Sharing Statement
All data generated or analyzed during this study are included in this article.
Disclosure
The author declares that he has no competing interests.