Cargando…

Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis

BACKGROUND: Accurate and precise measures of health literacy (HL) is supportive for health policy making, tailoring health service design, and ensuring equitable access to health services. According to research, valid and reliable unidimensional HL measurement instruments explicitly targeted at youn...

Descripción completa

Detalles Bibliográficos
Autores principales: Le, Christopher, Guttersrud, Øystein, Sørensen, Kristine, Finbråten, Hanne Søberg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727937/
https://www.ncbi.nlm.nih.gov/pubmed/36474283
http://dx.doi.org/10.1186/s12913-022-08831-4
_version_ 1784845136281206784
author Le, Christopher
Guttersrud, Øystein
Sørensen, Kristine
Finbråten, Hanne Søberg
author_facet Le, Christopher
Guttersrud, Øystein
Sørensen, Kristine
Finbråten, Hanne Søberg
author_sort Le, Christopher
collection PubMed
description BACKGROUND: Accurate and precise measures of health literacy (HL) is supportive for health policy making, tailoring health service design, and ensuring equitable access to health services. According to research, valid and reliable unidimensional HL measurement instruments explicitly targeted at young people (YP) are scarce. Thus, this study aims at assessing the psychometric properties of existing unidimensional instruments and developing an HL instrument suitable for YP aged 16–25 years. METHODS: Applying the HLS(19)-Q47 in computer-assisted telephone interviews, we collected data in a representative sample comprising 890 YP aged 16–25 years in Norway. Applying the partial credit parameterization of the unidimensional Rasch model for polytomous data (PCM) and confirmatory factor analysis (CFA) with categorical variables, we evaluated the psychometric properties of the short versions of the HLS(19)-Q47; HLS(19)-Q12, HLS(19)-SF12, and HLS(19)-Q12-NO. A new 12-item short version for measuring HL in YP, HLS(19)-YP12, is suggested. RESULTS: The HLS(19)-Q12 did not display sufficient fit to the PCM, and the HLS(19)-SF12 was not sufficiently unidimensional. Relative to the PCM, some items in the HLS(19)-Q12, the HLS(19)-SF12, and the HLS(19)-Q12-NO discriminated poorly between participants at high and at low locations on the underlying latent trait. We observed disordered response categories for some items in the HLS(19)-Q12 and the HLS(19)-SF12. A few items in the HLS(19)-Q12, the HLS(19)-SF12, and the HLS(19)-Q12-NO displayed either uniform or non-uniform differential item functioning. Applying one-factorial CFA, none of the aforementioned short versions achieved exact fit in terms of non-significant model chi-square statistic, or approximate fit in terms of SRMR ≤ .080 and all entries ≤ .10 that were observed in the respective residual matrix. The newly suggested parsimonious 12-item scale, HLS(19)-YP12, displayed sufficiently fit to the PCM and achieved approximate fit using one-factorial CFA. CONCLUSIONS: Compared to other parsimonious 12-item short versions of HLS(19)-Q47, the HLS(19)-YP12 has superior psychometric properties and unconditionally proved its unidimensionality. The HLS(19)-YP12 offers an efficient and much-needed screening tool for use among YP, which is likely a useful application in processes towards the development and evaluation of health policy and public health work, as well as for use in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08831-4.
format Online
Article
Text
id pubmed-9727937
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-97279372022-12-08 Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis Le, Christopher Guttersrud, Øystein Sørensen, Kristine Finbråten, Hanne Søberg BMC Health Serv Res Research BACKGROUND: Accurate and precise measures of health literacy (HL) is supportive for health policy making, tailoring health service design, and ensuring equitable access to health services. According to research, valid and reliable unidimensional HL measurement instruments explicitly targeted at young people (YP) are scarce. Thus, this study aims at assessing the psychometric properties of existing unidimensional instruments and developing an HL instrument suitable for YP aged 16–25 years. METHODS: Applying the HLS(19)-Q47 in computer-assisted telephone interviews, we collected data in a representative sample comprising 890 YP aged 16–25 years in Norway. Applying the partial credit parameterization of the unidimensional Rasch model for polytomous data (PCM) and confirmatory factor analysis (CFA) with categorical variables, we evaluated the psychometric properties of the short versions of the HLS(19)-Q47; HLS(19)-Q12, HLS(19)-SF12, and HLS(19)-Q12-NO. A new 12-item short version for measuring HL in YP, HLS(19)-YP12, is suggested. RESULTS: The HLS(19)-Q12 did not display sufficient fit to the PCM, and the HLS(19)-SF12 was not sufficiently unidimensional. Relative to the PCM, some items in the HLS(19)-Q12, the HLS(19)-SF12, and the HLS(19)-Q12-NO discriminated poorly between participants at high and at low locations on the underlying latent trait. We observed disordered response categories for some items in the HLS(19)-Q12 and the HLS(19)-SF12. A few items in the HLS(19)-Q12, the HLS(19)-SF12, and the HLS(19)-Q12-NO displayed either uniform or non-uniform differential item functioning. Applying one-factorial CFA, none of the aforementioned short versions achieved exact fit in terms of non-significant model chi-square statistic, or approximate fit in terms of SRMR ≤ .080 and all entries ≤ .10 that were observed in the respective residual matrix. The newly suggested parsimonious 12-item scale, HLS(19)-YP12, displayed sufficiently fit to the PCM and achieved approximate fit using one-factorial CFA. CONCLUSIONS: Compared to other parsimonious 12-item short versions of HLS(19)-Q47, the HLS(19)-YP12 has superior psychometric properties and unconditionally proved its unidimensionality. The HLS(19)-YP12 offers an efficient and much-needed screening tool for use among YP, which is likely a useful application in processes towards the development and evaluation of health policy and public health work, as well as for use in clinical settings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-022-08831-4. BioMed Central 2022-12-06 /pmc/articles/PMC9727937/ /pubmed/36474283 http://dx.doi.org/10.1186/s12913-022-08831-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Le, Christopher
Guttersrud, Øystein
Sørensen, Kristine
Finbråten, Hanne Søberg
Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis
title Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis
title_full Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis
title_fullStr Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis
title_full_unstemmed Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis
title_short Developing the HLS(19)-YP12 for measuring health literacy in young people: a latent trait analysis using Rasch modelling and confirmatory factor analysis
title_sort developing the hls(19)-yp12 for measuring health literacy in young people: a latent trait analysis using rasch modelling and confirmatory factor analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9727937/
https://www.ncbi.nlm.nih.gov/pubmed/36474283
http://dx.doi.org/10.1186/s12913-022-08831-4
work_keys_str_mv AT lechristopher developingthehls19yp12formeasuringhealthliteracyinyoungpeoplealatenttraitanalysisusingraschmodellingandconfirmatoryfactoranalysis
AT guttersrudøystein developingthehls19yp12formeasuringhealthliteracyinyoungpeoplealatenttraitanalysisusingraschmodellingandconfirmatoryfactoranalysis
AT sørensenkristine developingthehls19yp12formeasuringhealthliteracyinyoungpeoplealatenttraitanalysisusingraschmodellingandconfirmatoryfactoranalysis
AT finbratenhannesøberg developingthehls19yp12formeasuringhealthliteracyinyoungpeoplealatenttraitanalysisusingraschmodellingandconfirmatoryfactoranalysis