Psychometric Evaluation of the Health State Description Questionnaire in Chile: A Proposal for a Latent Variable Approach for Valuating Health States

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dc.contributor.authorZitko, Pedro
dc.contributor.authorBakolis, Ioannis
dc.contributor.authorVitoratou, Silia
dc.contributor.authorChua, Kia-Chong
dc.contributor.authorMargozzini, Paula
dc.contributor.authorMarkkula, Niina
dc.contributor.authorAraya, Ricardo
dc.date.accessioned2025-01-20T22:07:33Z
dc.date.available2025-01-20T22:07:33Z
dc.date.issued2021
dc.description.abstractBackground: A few instruments that identify and valuate health states are based on the International Classification of Functioning, Disability and Health States of the World Health Organization. One of them is the Health State Description (HSD) questionnaire first used in the World Health Survey (WHS) initiative (HSD-WHS), whose psychometric properties have not been evaluated in Chile. Additionally, the use of latent variables for the valuation process of health states has been scarcely investigated in the context of population health metrics. We aim to evaluate the psychometric properties and factorial structure of the HSD-WHS for Chile and describe a latent variable method for valuating health states associated with diseases.
dc.description.abstractMethods: We used data from the second Chilean National Health population-based survey from 2009 to 2010 (N = 5293). We explored the factorial structure of the HSD-WHS through exploratory and confirmatory factor analyses, the reliability, and the discriminant validity of the latent variable of disability. Disability weights for diseases were calculated using a linear regression model.
dc.description.abstractResults: We found an adequate goodness of fit for a second-order model with 9 factors corresponding to disability domains (Tucker-Lewis index = 0.99, comparative fit index = 0.99, root mean square error of approximation = 0.060), and good reliability estimates (standardized alpha = 0.91). The rescaled (between 0 and 100) latent variable of disability showed significant difference according to the explored variables. We estimated disability weights for the following: (1) depressive episode, 13.6 (12.1-15.2), (2) hypertension, 1.6 (0.0-3.3), and (3) diabetes, 5.0 (2.5-7.4).
dc.description.abstractConclusions: This study supports the use of the HSD-WHS questionnaire in the Chilean population and a latent variable approach for valuating health states associated with diseases.
dc.description.funderChilean National Agency for Research and Development
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.vhri.2021.06.002
dc.identifier.issn2212-1099
dc.identifier.urihttps://doi.org/10.1016/j.vhri.2021.06.002
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94246
dc.identifier.wosidWOS:000701918000017
dc.language.isoen
dc.pagina.final149
dc.pagina.inicio142
dc.revistaValue in health regional issues
dc.rightsacceso restringido
dc.subjectChile
dc.subjectdisability
dc.subjecthealth state
dc.subjecthealth state valuation
dc.subjecthealth state values
dc.subjectpsychometrics
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titlePsychometric Evaluation of the Health State Description Questionnaire in Chile: A Proposal for a Latent Variable Approach for Valuating Health States
dc.typeartículo
dc.volumen26
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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