RESUMO
Objectives: To obtain evidence on the psychometric properties of the Patient Health Questionnaire - 9 (PHQ-9, one of the most extensively used tools for assessing depression) in the Brazilian older population.Method: Data on 3,356 Brazilian adults aged 60+ years living in Guarulhos, São Paulo state were used. The factor structure of the questionnaire was analysed using a factor analysis approach. The questionnaire's measurement equivalence was tested across gender, age, personal income, and education level groups. The scores were compared across groups based on the highest level of equivalence achieved. The questionnaire's internal consistency was analysed considering its factor structure.Results: A one-factor solution was identified as the most adequate factor structure, with the factor explaining 57.6% of the items' variance. The correlation of the resulting latent score with the overall raw sum score in the PHQ-9 was r = 0.96. Measurement equivalence regarding thresholds and loadings was achieved for all tested groups. On average, women, older, less educated, and poorer people had higher latent scores on the depression factor. The measure showed a good internal consistency with Revelle's omega total ωt=0.92.Conclusion: The results suggest that, among Brazilian older adults living in Guarulhos, São Paulo state, the PHQ-9 measures depressive symptomatology equivalently across different sociodemographic subgroups. Moreover, it can be scored using the raw sum of the item scores to adequately reflect different levels of depressive symptomatology.
Assuntos
Depressão , Questionário de Saúde do Paciente , Feminino , Humanos , Idoso , Psicometria , Depressão/diagnóstico , Brasil , Reprodutibilidade dos Testes , Inquéritos e QuestionáriosRESUMO
BACKGROUND: 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. METHODS: 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. RESULTS: 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 α = 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). CONCLUSIONS: 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.
Assuntos
Psicometria , Chile , Análise Fatorial , Humanos , Reprodutibilidade dos Testes , Inquéritos e QuestionáriosRESUMO
BACKGROUND: Our population is ageing and in 2050 more than one out of five people will be 60 years or older; 80% of whom will be living in a low-and-middle income country. Living longer does not entail living healthier; however, there is not a widely accepted measure of healthy ageing hampering policy and research. The World Health Organization defines healthy ageing as the process of developing and maintaining functional ability that will enable well-being in older age. We aimed to create a healthy ageing index (HAI) in a subset of six low-and-middle income countries, part of the 10/66 study, by using items of functional ability and intrinsic capacity. METHODS: The study sample included residents 65-years old and over (n = 12,865) from catchment area sites in Cuba, Dominican Republic, Peru, Venezuela, Mexico and Puerto Rico. Items were collected by interviewing participants or key informants between 2003 and 2010. Two-stage factor analysis was employed and we compared one-factor, second-order and bifactor models. The psychometric properties of the index, including reliability, replicability, unidimensionality and concurrent convergent validity as well as measurement invariance per ethnic group and gender were further examined in the best fit model. RESULTS: The bifactor model displayed superior model fit statistics supporting that a general factor underlies the various items but other subdomain factors are also needed. The HAI indicated excellent reliability (ω = 0.96, ωΗ = 0.84), replicability (H = 0.96), some support for unidimensionality (Explained Common Variance = 0.65) and some concurrent convergent validity with self-rated health. Scalar measurement invariance per ethnic group and gender was supported. CONCLUSIONS: A HAI with excellent psychometric properties was created by using items of functional ability and intrinsic capacity in a subset of six low-and-middle income countries. Further research is needed to explore sub-population differences and to validate this index to other cultural settings.