SELF-PERCEIVED HEALTH STATUS OF SCHIZOPHRENIC PATIENTS IN SPAIN: AN ANALYSIS OF GEOGRAPHICAL DIFFERENCES USING BAYESIAN APPROACH

Juan M Cabasés (), Eduardo Sánchez (), Francisco J Vázquez-Polo (), Miguel A Negrín and Emilio Domínguez Irastorza
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Juan M Cabasés: Departamento de Economía-UPNA, https://www.unavarra.es/departamento-economia
Eduardo Sánchez: Departamento de Economía-UPNA, https://www.unavarra.es/departamento-economia

Documentos de Trabajo - Lan Gaiak Departamento de Economía - Universidad Pública de Navarra from Departamento de Economía - Universidad Pública de Navarra

Abstract: Objectives. This paper explores the use of regression models for estimating health status of schizophrenic patients, from a Bayesian perspective. Our aims are: 1- To obtain a set of values of health states of the EQ-5D based on self-assessed health from a sample of schizophrenic patients. 2- To analyse the differences in the health status and in patients’ perceptions of their health status between four mental-health districts in Spain. Methods. We develop two linear models with dummy variables. The first model seeks to obtain an index of the health status of the patients using a VAS as a dependent variable and the different dimensions of EQ-5D as regressors. The second model allows to analyse the differences between the self-assessed health status in the different geographic areas and also the differences between the patients’ self-assessed health states, irrespective of their actual health state, in the different geographic areas. The analysis is done using Bayesian approach with Gibbs sampling (computer program WinBUGS 1.4). Data concerning self-assessed EQ-5D with VAS from four geographic areas of schizophrenic patients were obtained for the purposes of this analysis. Results. We obtained the health status index for this sample and analysed the differences for this index between the four geographic areas. Our study reveals variables that explain the differences in patients’ health status and differences in their health states assessment. We consider four possible scenarios.

Keywords: Schizophrenia; Bayesian analysis; effectiveness; quality of life; EQ-5D. (search for similar items in EconPapers)
Pages: 29 pages
Date: 2005, Revised 2005
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