Dataset Information

Validating the Digital Health Literacy Instrument in Relation to COVID-19 Information (COVID-DHL-K) among South Korean Undergraduates.

ABSTRACT: Digital health literacy is crucial in accessing and applying health information in the COVID-19 pandemic period. Young college students are exposed daily to digital technologies, and they have further increased the use of digital information during the COVID-19 period. This study aimed to adapt DHLI into Korean and to assess the psychometric properties, during the COVID-19 pandemic period. A cross-sectional, nationwide, and web-based survey was conducted among 604 Korean undergraduates from 23 December 2020 to 8 January 2021. On the basis of the Digital Health Literacy Instrument (DHLI) by the Global COVID HL Network, the Korean questionnaire was developed by group translation, expert reviews, and forward-backward translation for validation. The scale reliability and validity were examined using Cronbach's alpha and confirmatory factor analysis. Results support the theoretical and empirical four-factor structure (search, express, evaluate, use) in the coronavirus-related DHL among Korean University students. Internal reliability of the overall scale was high (Cronbach's α = 0.908). The four-factor model was supported by confirmatory factor analysis (GFI = 0.972, CFI = 0.984, TLI = 0.978, RMSEA = 0.045). This study revealed that the COVID-DHL-K is a valid and reliable measure with appropriate psychometric characteristics.

SUBMITTER: Chun H

PROVIDER: S-EPMC8950100 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Validating the Digital Health Literacy Instrument in Relation to COVID-19 Information (COVID-DHL-K) among South Korean Undergraduates.

Chun Heeran H Park Eun-Ja EJ Choi Seul Ki SK Yoon Hyeran H Okan Orkan O Dadaczynski Kevin K

International journal of environmental research and public health 20220314 6

Digital health literacy is crucial in accessing and applying health information in the COVID-19 pandemic period. Young college students are exposed daily to digital technologies, and they have further increased the use of digital information during the COVID-19 period. This study aimed to adapt DHLI into Korean and to assess the psychometric properties, during the COVID-19 pandemic period. A cross-sectional, nationwide, and web-based survey was conducted among 604 Korean undergraduates from 23 D ...[more]

PMID: 35329126

Similar Datasets

Project description:BackgroundResearch concerning health literacy among migrant workers in South Korea has been limited, especially given the lack of validated instruments and the lack of focus on the cultural diversity of migrant workers.ObjectiveThis study aimed to develop and validate a health literacy scale for unskilled migrant workers (HLS-MW) in South Korea.MethodsWe first generated a pool of potential items based on a literature review and in-depth interviews with 23 migrant workers. Subsequently, we reviewed empirical referents from the first step to select relevant medical terminologies and passages, ultimately choosing 709 words. The study team initially generated 35 items with 709 health-related terms through empirical referent reviews. After content validity testing by an expert panel, 28 items comprising 89 terms on the 2 subscales of prose and documents were selected for psychometric testing. Overall, 402 unskilled migrant workers in South Korea completed a web-based survey between August and September 2021, with 334 responses included in the final analysis. We used multiple analytic approaches, including exploratory factor analysis, Rasch analysis (item response theory), and descriptive analysis, to examine the new scale's validity and reliability.ResultsThe final sample primarily included young male workers from South Asian countries. The HLS-MW yielded 2 factors: prose and documents. The item difficulty scores ranged from -1.36 to 2.56. The scale was reduced to 13 items (10 prose and 3 document items), with the final version exhibiting good internal reliability (Kuder-Richardson index=0.88; intraclass correlation coefficient=0.94, 95% CI 0.93-0.95) and test-retest reliability (r=0.74, 95% CI 0.57-0.92). HLS-MW scores differed significantly by Korean language proficiency (F2,331=3.54, P=.004).ConclusionsThe HLS-MW is a reliable and valid measure to assess health literacy among migrant workers in South Korea. Further studies are needed to test the psychometric properties of the HLS-MW in diverse migrant groups in South Korea while also establishing cutoffs to help identify those in need of health literacy support.

Project description:BackgroundThe need for digital literacy in aging populations is increasing in the digitalizing society. Digital literacy involves the identification, evaluation, and communication of information through various digital devices or relevant programs.ObjectiveThe aims of this study were to develop an Everyday Digital Literacy Questionnaire (EDLQ), a digital literacy assessment scale, and subsequently evaluate its psychometric properties using a population of community-dwelling older adults in South Korea.MethodsThe EDLQ was developed using an instrument development design. A nationwide survey was conducted, and the study included 1016 community-dwelling older adults (age ≥60 years). To evaluate the psychometric properties, the participants were randomly divided into 2 groups (n=508 each), and the internal consistency (Cronbach α and McDonald ω), structural validity (exploratory factor analysis and confirmatory factor analysis), hypothesis-testing construct validity using the eHealth Literacy Scale (eHEALS), and measurement invariance were analyzed.ResultsAmong the initial 30 items of the EDLQ, 22 items with a 3-factor solution had a total explained variance of 77%. The domains included "information and communication" (9 items), "content creation and management" (4 items), and "safety and security" (9 items). Confirmatory factor analysis was conducted with this 3-factor solution (χ2206=345.1; normed χ2206=1.7; comparative fit index=0.997; Tucker-Lewis index=0.997; root-mean-square error of approximation=0.036; standardized root-mean-square residual=0.050; composite reliability=0.903-0.959; average variance extracted=0.699-0.724; R2=0.616-0.773). Hypothesis-testing construct validity with the eHEALS revealed a strong correlation (r=0.75). Cronbach α and McDonald ω coefficients were .98 and 0.98, respectively. The fit indices for measurement invariance, including the configural, metric, and scalar invariance models, demonstrated a satisfactory fit to the data. Our findings suggest that the psychometric properties of the 22-item EDLQ are valid and reliable for assessing digital literacy among older Korean adults.ConclusionsIn this study, we developed a digital literacy measure with strong psychometric properties that made it suitable for assessing the digital literacy of community-dwelling older adults in Korea. To broaden its applicability, however, further assessment of its feasibility for use with different languages and cultures is necessary. Moreover, more empirical research on digital literacy and related factors in older adults can facilitate the development of personalized digital health care services and educational interventions in the digital society.

Dataset Information

Validating the Digital Health Literacy Instrument in Relation to COVID-19 Information (COVID-DHL-K) among South Korean Undergraduates.

Publications

Validating the Digital Health Literacy Instrument in Relation to COVID-19 Information (COVID-DHL-K) among South Korean Undergraduates.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets