Assessment of eHealth Literacy in Healthcare Service Users: Construction and Validation of a Measurement Instrument

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IntroductioneHealth literacy is influenced by Internet access and is associated with health status. The aim of this study was to develop and validate an instrument called eHealth-Much to measure eHealth literacy in users of healthcare services.MethodsAn instrumental research design was used. Content validity was assessed by expert judgment and quantified using Aiken’s V coefficient. A polychoric correlation matrix was used for the items. Sample adequacy was assessed through the Kaiser-Meyer-Olkin (KMO) index and Bartlett's test of sphericity before conducting exploratory factor analysis (EFA). The EFA was conducted using the Weighted Least Squares (WLS) extraction method with Oblimin rotation. Reliability was assessed using Cronbach’s Alpha (α) and McDonald’s Omega (ω) coefficients.ResultsTwelve experts from five different countries participated in the content validation process, obtaining a V coefficient of 0.93 (95% CI: 0.79–0.97). A total of 1,068 health service users of both sexes participated in the construct validity testing. The median age was 32 years (IQR: 13, Q1: 26, Q3: 39; Min: 17, Max: 78). The KMO index was 0.92 (Bartlett's test, p < 0.001). The EFA suggested four factors labeled “Digital Literacy” (WLS1), “Digital Self-Management” (WLS4), “Digital Skill” (WLS3), and “Scientific Empowerment” (WLS2), which together explained 59.3% of the total variance. The reliability coefficients obtained were 0.86 for Cronbach’s alpha and 0.90 for McDonald’s omega. Percentile ranks and normative scores were also established for the sample.DiscussionThe factorial structure obtained theoretically supports the multidimensionality of the construct, aligning with previous models of digital health literacy.ConclusionThe scale demonstrates adequate levels of validity and reliability. It may be considered a viable option for use in both primary care settings and hospital environments. Further studies are recommended to expand the psychometric analysis.

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Validation of the Ethiopian Version of eHealth Literacy Scale (ET-eHEALS) in a Population with Chronic Disease.
  • May 1, 2020
  • Risk Management and Healthcare Policy
  • Kirubel Biruk Shiferaw

BackgroundAlthough 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.MethodsThe 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.ResultsOf 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).ConclusionThis 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.

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To develop and validate two new standardised measures assessing, respectively, experienced discrimination (Covid-19 Experienced DISCrimination scale, CEDISC) and internalised stigma (COvid-19 INternalised Stigma scale, COINS) in people who had been infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or had developed coronavirus disease 2019 (Covid-19) disease. Both the CEDISC and the COINS were developed in Italian and tested for ease of use, comprehension, acceptability, the relevance of items and response options within a focus group session. Online cross-sectional validation survey was conducted among adults infected with SARS-CoV-2 or who developed Covid-19 disease, members of a closed Facebook discussion group in Italy. Exploratory factor analysis (EFA) with Promax oblique rotation; the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and the Bartlett's test of sphericity were used to assess the suitability of the sample for factor analysis. Reliability was assessed as internal consistency using Cronbach's alpha and as test-retest reliability using weighted kappa and intraclass correlation coefficient (ICC). Precision was examined by Kendall's tau-b coefficient. Overall, 579 participants completed the CEDISC, 519 also completed the COINS, 155 completed the retest for both scales after two weeks. The 12 items of the CEDISC converged over a 2-factor solution ('social life' and 'close relations') accounting for 49.2% of the variance (KMO = 0.894; Bartlett's test p < 0.001); the 13 items of the COINS converged over a 3-factor solution ('self-perception', 'close relations' and 'social life') accounting for 67.7% (KMO = 0.827; Bartlett's test p < 0.001). Cronbach's α was 0.848 for the CEDISC, and 0.837 for the COINS. The CEDISC showed three items (25%) with kappa between 0.61 and 0.80 and seven (58.4%) between 0.41 and 0.60, with only two items scoring 0.21 and 0.40; the COINS had ten items (76.9%) with kappa ranging from 0.41 to 0.60, and three items below 0.31. ICC was 0.906 (95% CI, 0.871-0.932) for the, CEDISC and 0.860 (95% CI, 0.808-0.898) for the COINS. Kendall's tau-b ranged from 0.360 to 0.556 (p < 0.001) for the CEDISC and from 0.290 to 0.606 (p < 0.001) for the COINS. Both the CEDISC and the COINS are two valid and reliable scales to be used in studies examining the role of stigma and discrimination of people infected with SARS-CoV-2 and Covid-19 patients, and in research evaluating interventions designed to mitigate stigma in this population.

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Objective: To explore the reliability and validity of the self-reported questionnaire for assessing frame glasses-wearing compliance in myopic children. Methods: The initial item pool of the questionnaire was preliminarily constructed by systematically sorting out the research results related to the compliance of myopic children with spectacle wearing through the literature review method, combined with structured interviews with 5 myopic children. First, 18 experts meeting the specified criteria were selected to conduct 3 rounds of expert consultation to optimize the item pool. Then, 5 experts with a master's degree or above and proficient in scale development methods were selected from them to conduct content validity evaluation. The item-level content validity index (I-CVI) and scale-level content validity index (S-CVI) were calculated to assess the content validity. Meanwhile, the items were optimized in combination with a pilot test (50 myopic children were selected for 3 rounds of pilot surveys) to form the final version of the questionnaire. From November 2022 to January 2023, 494 myopic children aged 10-15 years who wore frame glasses for myopia prevention and control were recruited from urban areas of Ji'an City, Jiangxi Province to conduct a questionnaire survey. For reliability analysis, split-half reliability and Cronbach's α coefficient were used for evaluation; for validity analysis, content validity and construct validity were adopted. Among them, content validity was measured with I-CVI and S-CVI as indicators; construct validity was analyzed through exploratory factor analysis, where the suitability of data was first determined by the Kaiser-Meyer-Olkin (KMO) test and Bartlett's test of sphericity, and then evaluated using indicators including the cumulative variance contribution rate of common factors, item factor loading coefficient, and common factor variance. Results: The final questionnaire consisted of 8 scale items and 1 non-scale item. Exploratory factor analysis of the 8 scale items (KMO=0.713, Bartlett's test of sphericity P<0.001) extracted 3 common factors, with a cumulative variance contribution rate of 62.565%. The factor loading of each item ranged from 0.52 to 0.88, and the common factor variance of all items was>0.5. Based on this, the 3 factors were named as three dimensions: Glasses-Wearing Habits (3 items), Extent of Glasses Usage (3 items), and Self-Monitoring (2 items). The 1 non-scale item was used to explore the barriers to glasses-wearing compliance. In terms of reliability, the Cronbach's α coefficient of the scale was 0.720, and the split-half coefficient was 0.719. In terms of validity, the S-CVI was 0.875, and the I-CVI ranged from 0.800 to 1.000. Conclusion: The questionnaire has good reliability and validity, and can be used as a standardized tool for assessing glasses-wearing compliance in myopic children aged 10-15 years.

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Instrument Development of Teaching Practice on Higher-Order Thinking Skills for 21st-Century Learning
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  • Apr 8, 2025
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  • Syreen Grace J Icoy + 1 more

This study aimed to develop a satisfaction framework of the constitutents in selected barangays in Davao City regarding the conflict mediation performance of Lupong Tagapamayapa (LP). This quantitative, Exploratory Factor Analysis (EFA) study identified key satisfaction factors and constructed a multidimensional framework. There were 308 respondents who answered a structured questionnaire. The analysis included the Kaiser-Meyer-Olkin (KMO), Bartlett's test of sphericity, and Principal Component Analysis (PCA) with varimax rotation. The KMO value of 0.947, confirmed an adequate factor analysis sampling. The Bartlett's Test of Sphericity showed significant correlations among the items. There were six essential factors identified in the study that influence residents' satisfaction with LP’s mediation performance: (1) Professionalism and Thoroughness in the Mediation Process, (2) Ethical Conduct and Neutrality, (3) Effective Conflict Resolution and Participant-Centered Approach, (4) Cultural Competence and Adaptive Approach, (5) Strategic Thinking and Expertise in Conflict Management, and (6) Ethical Conduct and Empowerment. These factors collectively explained 50.725% of the variance. This value confirmed the substantial roles of these factors for effective effective mediation. KEYWORDS: Satisfaction, Conflict Mediation Performance, Lupong Tagapamayapa, Barangays, Exploratory Factor Analysis

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  • Cite Count Icon 1
  • 10.13189/ujar.2022.100603
Exploration and Development of Measurement Items of Innovation for New Technology Adoption among Small Farmers
  • Dec 1, 2022
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  • Uzairu Muhammad Gwadabe + 2 more

The current global food challenge necessitates the need to increase agricultural production. Farmers' innovative mindset is unavoidable for successful and sustainable agriculture. Precision agriculture, through novel technology like big data, is an effective solution that can exponentially increase agricultural productivity and quality. Innovativeness among food growers is a significant determinant for adopting new technologies. For this reason, the Exploratory Factor Analysis (EFA) technique was used in this research to construct a reliable and valid instrument that measures innovativeness. Data was collected from small-scale farmers in Terengganu, Malaysia. The questionnaire was developed on a scale of one to ten. With the help of IBM SPSS Statistics version 25.0, the EFA was carried out using the principal component extraction method with Varimax Rotation. The study assessed Bartlett's Test of Sphericity and Kaiser-Meyer-Olkin (KMO) to determine the adequacy of the sample. Bartlett's test revealed a significant result (0.000), and the KMO value was excellent (0.726). The findings of the EFA revealed two components and eight items with Cronbach's Alpha values of more than 0.7, all of which were found to be significant. As a result, the results demonstrated the instrument's accuracy and dependability. This research contributes to developing items that assess innovativeness in the context of small farming in Malaysia.

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