Evidence map›Paper›PMID 41555804›Full record

ArticleJournal of Korean medical science2026

Reliability and Validity of the Korean Version of the Digital Health Literacy Instrument.

Jeahyung Lee, Chulwoo Ahn, Jisun Park, Sooyoung Kim, Yerim Kim, Jiwon Park, Jaeyong Shin

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jeahyung Lee *Department of Economics, College of Commerce and Economics, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0009-0004-2799-9034
Chulwoo Ahn *College of Medicine, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0000-0001-7606-0059
Jisun ParkCollege of Nursing, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0009-0008-5175-2516
Sooyoung KimDepartment of Health Convergence, Ewha Womans University, Seoul, Korea.ORCID https://orcid.org/0009-0007-3170-2282
Yerim KimCollege of Medicine, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0009-0000-4131-4880
Jiwon ParkCollege of Nursing, Yonsei University, Seoul, Korea.ORCID https://orcid.org/0009-0001-2721-2228
Jaeyong ShinDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-2955-6382

Funding

Ministry of Trade, Industry and Energy RS-2024-00432987
6 · The paper itself

Abstract

backgroundAs digital transformation accelerates, individuals increasingly engage with digital health services and online medical resources, and digital health literacy (DHL) becomes increasingly important. While the Digital Health Literacy Instrument (DHLI) has been validated internationally, a Korean version applicable across all adult age groups remains limited. This study develops and validates the Korean DHLI, assessing its reliability and validity for broader applicability among Korean adults.

methodsThe DHLI was translated, culturally adapted, and reviewed by expert panels following World Health Organization guidelines. A cross-sectional nationwide web survey was conducted with 524 adults aged 19-69. A follow-up survey was administered to 134 participants after four weeks to assess test-retest reliability. Internal consistency and test-retest reliability were assessed. Construct validity was examined using confirmatory factor analysis (CFA) to determine the most appropriate factor structure in the Korean population. Convergent and discriminant validity were assessed, and hypothesis-testing construct validity was evaluated through correlations with age, health status, and eHealth literacy.

resultsThe Korean version of the DHLI (K-DHLI) exhibited excellent psychometric properties. Internal consistency was high (α = 0.91), and test-retest reliability was deemed acceptable (intraclass correlation coefficient = 0.70). CFA demonstrated a 7-factor model, which showed a superior model fit (χ²/degrees of freedom = 2.14, comparative fit index = 0.966, root mean square error of approximation = 0.047) as compared to the 5-factor model. Convergent and discriminant validity were confirmed, with AVE values ranging from 0.7218 to 0.8947 and construct reliability values between 0.8837 and 0.9622. Hypothesis-testing construct validity was supported by hypothesized correlations between K-DHLI scores and age (

conclusionThe K-DHLI is a reliable and valid instrument for assessing DHL in the Korean population. The findings confirm that the 7-factor structure demonstrates superior model fit and further support its applicability across diverse adult groups. This study provides a standardized instrument for assessing DHL in Korea and facilitates its use in national surveys, clinical screening, and research. It may help identify individuals with limited DHL, thereby supporting targeted interventions to reduce health disparities and improve access to care.

Indexed as

Health LiteracyAdultAgedCross-Sectional StudiesDigital HealthFactor Analysis, StatisticalFemaleHealth StatusHumansMaleMiddle AgedPsychometricsReproducibility of ResultsRepublic of KoreaSurveys and QuestionnairesYoung AdultDigital HealthDigital Health LiteracyHealth LiteracyInstrument AdaptationK-DHLIKorean VersionPsychometrics

Identifiers

PMID41555804
PMCPMC12815901

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.