Portuguese Version of the HLS-EU-Q6 and HLS-EU-Q16 Questionnaire: Psychometric Properties

Health literacy refers to the competencies of individuals and the general population to navigate all the areas of health care, making health decisions. Health professionals need a set of skills and information to adapt to people’s health literacy. To succeed, it is crucial to determine the health li...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Ana Rita Pedro [verfasserIn] Beatriz Raposo [verfasserIn] Luís Luís [verfasserIn] Odete Amaral [verfasserIn] Ana Escoval [verfasserIn] Sara Simões Dias [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	questionnaire psychometrics HLS-EU-PT-Q16 HLS-EU-PT-Q6 HLS-EU-PT health literacy

Übergeordnetes Werk:	In: International Journal of Environmental Research and Public Health - MDPI AG, 2005, 20(2023), 2892, p 2892
Übergeordnetes Werk:	volume:20 ; year:2023 ; number:2892, p 2892

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.3390/ijerph20042892

Katalog-ID:	DOAJ080274706

Internformat


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allfieldsSound	10.3390/ijerph20042892 doi (DE-627)DOAJ080274706 (DE-599)DOAJ61130a86c8cf4492a758ef505b73bcfd DE-627 ger DE-627 rakwb eng Ana Rita Pedro verfasserin aut Portuguese Version of the HLS-EU-Q6 and HLS-EU-Q16 Questionnaire: Psychometric Properties 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Health literacy refers to the competencies of individuals and the general population to navigate all the areas of health care, making health decisions. Health professionals need a set of skills and information to adapt to people’s health literacy. To succeed, it is crucial to determine the health literacy level of a population, in this case, the Portuguese. This study aims to measure the psychometric properties of the Portuguese version of HLS-EU-Q16 and HLS-EU-Q6 from the long form of HLS-EU-Q47, already validated for Portugal. To analyse these results, a comparison was made with the HLS-EU-PT index. Spearman correlation analysis was performed between the single items and scale scores. Cronbach’s alphas for all the indexes were calculated. For the statistical analysis, SPSS (version 28.0) was used. Cronbach’s alpha coefficient for HLS-EU-PT-Q16 internal consistency was 0.89 overall, and for HLS-EU-PT-Q6 was 0.78 overall. Indexes were not normally distributed, and the Spearman correlation was computed. The correlation between G HL47 and G HL16 indexes was ρ = 0.95 (<i<p</i< < 0.001), and between G HL6 and HLS-EU-PT-Q6 was perfect. The HLS-EU-PT-Q16 and HLS-EU-PT-Q6 are concise and present adequate psychometric properties to measure the HL level of the Portuguese population. However, more similarities are found between the 47-item and the 16-item forms. questionnaire psychometrics HLS-EU-PT-Q16 HLS-EU-PT-Q6 HLS-EU-PT health literacy Medicine R Beatriz Raposo verfasserin aut Luís Luís verfasserin aut Odete Amaral verfasserin aut Ana Escoval verfasserin aut Sara Simões Dias verfasserin aut In International Journal of Environmental Research and Public Health MDPI AG, 2005 20(2023), 2892, p 2892 (DE-627)477992463 (DE-600)2175195-X 16604601 nnns volume:20 year:2023 number:2892, p 2892 https://doi.org/10.3390/ijerph20042892 kostenfrei https://doaj.org/article/61130a86c8cf4492a758ef505b73bcfd kostenfrei https://www.mdpi.com/1660-4601/20/4/2892 kostenfrei https://doaj.org/toc/1661-7827 Journal toc kostenfrei https://doaj.org/toc/1660-4601 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2023 2892, p 2892
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author	Ana Rita Pedro
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title_sort	portuguese version of the hls-eu-q6 and hls-eu-q16 questionnaire: psychometric properties
title_auth	Portuguese Version of the HLS-EU-Q6 and HLS-EU-Q16 Questionnaire: Psychometric Properties
abstract	Health literacy refers to the competencies of individuals and the general population to navigate all the areas of health care, making health decisions. Health professionals need a set of skills and information to adapt to people’s health literacy. To succeed, it is crucial to determine the health literacy level of a population, in this case, the Portuguese. This study aims to measure the psychometric properties of the Portuguese version of HLS-EU-Q16 and HLS-EU-Q6 from the long form of HLS-EU-Q47, already validated for Portugal. To analyse these results, a comparison was made with the HLS-EU-PT index. Spearman correlation analysis was performed between the single items and scale scores. Cronbach’s alphas for all the indexes were calculated. For the statistical analysis, SPSS (version 28.0) was used. Cronbach’s alpha coefficient for HLS-EU-PT-Q16 internal consistency was 0.89 overall, and for HLS-EU-PT-Q6 was 0.78 overall. Indexes were not normally distributed, and the Spearman correlation was computed. The correlation between G HL47 and G HL16 indexes was ρ = 0.95 (<i<p</i< < 0.001), and between G HL6 and HLS-EU-PT-Q6 was perfect. The HLS-EU-PT-Q16 and HLS-EU-PT-Q6 are concise and present adequate psychometric properties to measure the HL level of the Portuguese population. However, more similarities are found between the 47-item and the 16-item forms.
abstractGer	Health literacy refers to the competencies of individuals and the general population to navigate all the areas of health care, making health decisions. Health professionals need a set of skills and information to adapt to people’s health literacy. To succeed, it is crucial to determine the health literacy level of a population, in this case, the Portuguese. This study aims to measure the psychometric properties of the Portuguese version of HLS-EU-Q16 and HLS-EU-Q6 from the long form of HLS-EU-Q47, already validated for Portugal. To analyse these results, a comparison was made with the HLS-EU-PT index. Spearman correlation analysis was performed between the single items and scale scores. Cronbach’s alphas for all the indexes were calculated. For the statistical analysis, SPSS (version 28.0) was used. Cronbach’s alpha coefficient for HLS-EU-PT-Q16 internal consistency was 0.89 overall, and for HLS-EU-PT-Q6 was 0.78 overall. Indexes were not normally distributed, and the Spearman correlation was computed. The correlation between G HL47 and G HL16 indexes was ρ = 0.95 (<i<p</i< < 0.001), and between G HL6 and HLS-EU-PT-Q6 was perfect. The HLS-EU-PT-Q16 and HLS-EU-PT-Q6 are concise and present adequate psychometric properties to measure the HL level of the Portuguese population. However, more similarities are found between the 47-item and the 16-item forms.
abstract_unstemmed	Health literacy refers to the competencies of individuals and the general population to navigate all the areas of health care, making health decisions. Health professionals need a set of skills and information to adapt to people’s health literacy. To succeed, it is crucial to determine the health literacy level of a population, in this case, the Portuguese. This study aims to measure the psychometric properties of the Portuguese version of HLS-EU-Q16 and HLS-EU-Q6 from the long form of HLS-EU-Q47, already validated for Portugal. To analyse these results, a comparison was made with the HLS-EU-PT index. Spearman correlation analysis was performed between the single items and scale scores. Cronbach’s alphas for all the indexes were calculated. For the statistical analysis, SPSS (version 28.0) was used. Cronbach’s alpha coefficient for HLS-EU-PT-Q16 internal consistency was 0.89 overall, and for HLS-EU-PT-Q6 was 0.78 overall. Indexes were not normally distributed, and the Spearman correlation was computed. The correlation between G HL47 and G HL16 indexes was ρ = 0.95 (<i<p</i< < 0.001), and between G HL6 and HLS-EU-PT-Q6 was perfect. The HLS-EU-PT-Q16 and HLS-EU-PT-Q6 are concise and present adequate psychometric properties to measure the HL level of the Portuguese population. However, more similarities are found between the 47-item and the 16-item forms.
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title_short	Portuguese Version of the HLS-EU-Q6 and HLS-EU-Q16 Questionnaire: Psychometric Properties
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code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Luís Luís</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Odete Amaral</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ana Escoval</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Sara Simões Dias</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">International Journal of Environmental Research and Public Health</subfield><subfield code="d">MDPI AG, 2005</subfield><subfield code="g">20(2023), 2892, p 2892</subfield><subfield code="w">(DE-627)477992463</subfield><subfield code="w">(DE-600)2175195-X</subfield><subfield code="x">16604601</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:20</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:2892, p 2892</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.3390/ijerph20042892</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/61130a86c8cf4492a758ef505b73bcfd</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.mdpi.com/1660-4601/20/4/2892</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1661-7827</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/1660-4601</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield 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code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">20</subfield><subfield code="j">2023</subfield><subfield code="e">2892, p 2892</subfield></datafield></record></collection>
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Portuguese Version of the HLS-EU-Q6 and HLS-EU-Q16 Questionnaire: Psychometric Properties

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