Evidence map›Paper›PMID 39088442›Full record

ArticlePloS one2024

Validity testing of the Korean version of the Health Literacy Questionnaire (HLQ) and its application in people with chronic diseases.

Yon Hee Seo, Richard H Osborne, Yeunhee Kwak, Jung-Won Ahn

Abstract readValidation Study
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yon Hee SeoDepartment of Nursing Science, Andong National University, Andong-si, Gyeongsangbuk-do, Korea.
Richard H OsborneCentre for Global Health and Equity, School of Health Sciences, Swinburne University of Technology, Hawthorn, Victoria, Australia.
Yeunhee KwakRed Cross College of Nursing, Chung-Ang University, Seoul, Korea.
Jung-Won AhnDepartment of Nursing, Gangneung-Wonju National University, Wonju-si, Gangwon-do, Korea.ORCID 0000-0001-5389-3189

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health literacy plays a crucial role in promoting and maintaining the health of patients with chronic illnesses. Therefore, adequate assessments and the application of interventions based on people's health literacy strengths, needs, and preferences are required to improve health outcomes. This study aimed to evaluate the psychometrical properties of the Health Literacy Questionnaire (HLQ) in Koreans with chronic diseases. Data were collected from 278 patients (57.04±15.22 years) diagnosed with chronic disease, including kidney disease, hypertension, and diabetes, who visited the outpatient clinic of a university hospital from June to December 2020. For validity assessment, construct, convergent, and discriminant validities were evaluated, along with the HLQ reliability using Cronbach's α. One-way analysis of variance was used to evaluate mean differences in the HLQ scale scores based on patients' characteristics. The confirmatory factor analysis (CFA) indicated that all items were loaded on their respective factors. The model fit of a full nine-factor CFA model showed satisfactory or better fit compared with nine one-factor CFA model; χ2WLSMV (866) = 576.596 (p < .001), comparative normed fit index of 1.000 (reference: >0.950), Tucker-Lewis index of 0.981 (reference: >0.950), root mean square error of approximation of 0.066 (reference: <0.080), and standardized root mean square residual of 0.055 (reference: <0.080). All scales demonstrated good to excellent internal consistency (Cronbach's α ≥.757). Sociodemographic characteristic variables with significant score differences in HLQ scores were reported across nine scales, with the level of education and income showing significant score differences in 8 and 6 scales, respectively. This study revealed that the Korean version of the HLQ has many strong measurement properties among patients with chronic diseases. The validation indicated the HLQ as a robust tool that is used cross-culturally and is recommended for use in the Korean population.

Indexed as

Health LiteracyPsychometricsAdultAgedChronic DiseaseFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsRepublic of KoreaSurveys and Questionnaires

Identifiers

PMID39088442
PMCPMC11293725

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.