ArticleBMC public health2020
Establishing the HLS-M-Q18 short version of the European health literacy survey questionnaire for the Malaysian context.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A study protocol evaluating the effectiveness of the older adult's digital health literacy (ODDHeaL) intervention.PloS one · 2026Trial
- Cultural capital and health literacy among urban communities in Malaysia: A cross-sectional study.PloS one · 2026Article
- Exploring the relationship between health knowledge, health literacy, self-care, self-efficacy, and glycemic control among adults with type 2 diabetes mellitus.World journal of diabetes · 2025Article
- From fear to facts: a multi-channel approach to information seeking amid influenza-like illness outbreaks.Frontiers in public health · 2025Article
- Psychometric properties of a COVID-19 health literacy scale in a sample of German school principals applying Rasch analysis.BMC public health · 2024Article
- Limited health literacy increases the likelihood of cognitive frailty among older adults.BMC geriatrics · 2024Article
- Prevalence of overweight and its associated factors among Malaysian adults: Findings from a nationally representative survey.PloS one · 2023Article
- Measuring Comprehensive, General Health Literacy in the General Adult Population: The Development and Validation of the HLSInternational journal of environmental research and public health · 2022Article
- Measuring COVID-19 health literacy: validation of the COVID-19 HL questionnaire in Spain.Health and quality of life outcomes · 2022Observational
- Development and validation of a novel short-form nutrition literacy measurement tool for Chinese college students.Frontiers in public health · 2022Article
- Malaysian Health Literacy: Scorecard Performance from a National Survey.International journal of environmental research and public health · 2021Article
- Associations between Health Literacy and Sociodemographic Factors: A Cross-Sectional Study in Malaysia Utilising the HLS-M-Q18.International journal of environmental research and public health · 2021Article
- Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia.PloS one · 2020Article
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7 authors.
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Abstract
backgroundThe European Health Literacy Survey Questionnaire (HLS-EU-Q47) is becoming a widely used tool to measure health literacy (HL), including in Malaysia. There are efforts to reduce the 47-item scale to parsimonious short item scales that still reflect the assumptions and requirements of the conceptual model. This study used confirmatory factor analysis to reduce the 47-item scale to a short scale that can offer a feasible HL screening tool with sufficient psychometric properties.
methodsA cross-sectional survey was conducted on the Malaysian population based on ethnic distribution to ensure that the short version instrument reflects the country's varied ethnicities. The survey was administered by well-trained interviewers working for the Ministry of Health Malaysia. A total of 866 responses were obtained. Data was analysed using multi-factorial confirmatory factor analysis (CFA) with categorical variables.
resultsThe analysis resulted in a satisfactory 18-item model. There were high correlations among the 18 items. The internal consistency reliability was robust, with no floor/ceiling effects. These results represented equivalence and consistency among the responses to items, suggesting that these items were homogenous in measuring Malaysian health literacy. The strong convergent and discriminant validity of the model makes the proposed 18 items a suitable short version of the health literacy instrument for Malaysia.
conclusionsThe researchers propose the 18-item instrument to be named HLS-M-Q18. This short version instrument may be used in measuring health literacy in Malaysia as it achieved robust reliability, structural validity and construct validity that fulfilled goodness-of-fit criteria.
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