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Validating the European Health Literacy Survey Questionnaire in people with type 2 diabetes : Latent trait analyses applying multidimensional Rasch modelling and confirmatory factor analysis
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- Finbråten, Hanne Søberg, 1972- (författare)
- Karlstads universitet,Institutionen för hälsovetenskaper (from 2013)
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- Pettersen, Kjell Sverre (författare)
- Oslo and Akershus University College of Applied Sciences, NOR
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- Wilde Larsson, Bodil, 1951- (författare)
- Karlstads universitet,Institutionen för hälsovetenskaper (from 2013)
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- Nordström, Gun, 1946- (författare)
- Karlstads universitet,Institutionen för hälsovetenskaper (from 2013)
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- Trollvik, Anne (författare)
- Inland Norway University of Applied Sciences, NOR
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- Guttersrud, Øystein (författare)
- Oslo University
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(creator_code:org_t)
- 2017-06-29
- 2017
- Engelska.
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Ingår i: Journal of Advanced Nursing. - Oxford : Blackwell Publishing. - 0309-2402 .- 1365-2648. ; 73:11, s. 2730-2744
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https://kau.diva-por... (primary) (Raw object)
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http://kau.diva-port...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
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- AIM: To validate the European Health Literacy Survey Questionnaire (HLS-EU-Q47) in people with type 2 diabetes mellitus.BACKGROUND: The HLS-EU-Q47 latent variable is outlined in a framework with four cognitive domains integrated in three health domains, implying 12 theoretically defined subscales. Valid and reliable health literacy measurers are crucial to effectively adapt health communication and education to individuals and groups of patients.DESIGN: Cross-sectional study applying confirmatory latent trait analyses.METHODS: Using a paper-and-pencil self-administered approach, 388 adults responded in March 2015. The data were analysed using the Rasch methodology and confirmatory factor analysis.RESULTS: Response violation and trait violation (multidimensionality) of local independence were identified. Fitting the 'multidimensional random coefficients multinomial logit' model, 1-, 3- and 12-dimensional Rasch models were applied and compared. Poor model fit and differential item functioning were present in some items and several subscales suffered from poor targeting and low reliability. Despite multidimensionality in the data, we did not observe any unordered response categories.CONCLUSION: Interpreting the domains as distinct but related latent dimensions, the data fit a 12-dimensional Rasch model and a 12-factor confirmatory factor model best. Therefore, the analyses did not support the estimation of one overall 'health literacy score'. To support the plausibility of claims based on the HLS-EU score(s), we suggest: removing the health care aspect to reduce the magnitude of multidimensionality; rejecting redundant items to confine response dependency; adding 'harder' items and applying a six-point rating scale to improve subscale targeting and reliability; and revising items to improve model fit. This article is protected by copyright. All rights reserved.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Omvårdnad (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Nursing (hsv//eng)
Nyckelord
- HLS-EU-Q47
- confirmatory factor analysis
- health literacy
- multidimensional Rasch modelling
- nursing research
- type 2 diabetes mellitus
- Nursing Science
- Omvårdnad
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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