Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48773
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dc.contributor.authorVázquez-Polo, Francisco Jose
dc.contributor.authorNegrín, Miguel
dc.contributor.authorCabasés, Juan M.
dc.contributor.authorSánchez, Eduardo
dc.contributor.authorHaro, Joseph M.
dc.contributor.authorSalvador-Carulla, Luis
dc.contributor.otherHaro, Josep Maria
dc.contributor.otherNegrin, Miguel
dc.contributor.otherSalvador-Carulla, Luis
dc.contributor.otherVazquez-Polo, Francisco-Jose
dc.date.accessioned2018-11-24T00:48:33Z-
dc.date.available2018-11-24T00:48:33Z-
dc.date.issued2005
dc.identifier.issn1091-4358
dc.identifier.urihttp://hdl.handle.net/10553/48773-
dc.description.abstractBackground: Health care decisions should incorporate cost of illness and treatment data, particularly for disorders such as schizophrenia with a high morbidity rate and a disproportionately low allocation of resources. Previous cost of illness analyses may have disregarded geographical aspects relevant for resource consumption and unit cost calculation.Aims: To compare the utilisation of resources and the care costs of schizophrenic patients in four mental-health districts in Spain (in Madrid, Catalonia, Navarra and Andalusia), and to analyse factors that determine the costs and the differences between areas.Methods: A treated prevalence bottom-up three year follow-up design was used for obtaining data concerning socio-demography, clinical evolution and the utilisation of services. 1997 reference prices were updated for years 1998-2000 in euros. We propose two different scenarios, varying in the prices applied. In the first (Scenario 0) the reference prices are those obtained for a single geographic area, and so the cost variations are only due to differences in the use of resources. In the second situation (Scenario 1), we analyse the variations in resource utilisation at different levels, using the prices applicable to each healthcare area. Bayesian hierarchical models are used to discuss the factors that determine such costs and the differences between geographic areas.Results: In scenario 0, the estimated mean cost was 4918.948 euros for the first year. In scenario I the highest cost was in Gava (Catalonia) and the lowest in Loja (Andalusia). Mean costs were respectively 4547.24 and 2473.98 cures. With respect to the evolution of costs over time, we observed an increase during the second year and a reduction during the third year. Geographical differences appeared in follow-up costs. The variables related to lower treatment costs were: residence in the family household, higher patient age and being in work. On the contrary, the number of relapses is directly related to higher treatment costs. No differences were observed between health areas concerning resource utilisation.Discussion: Calculating the costs of a given disease involves two principal factors: the resource utilisation and the prices. In most studies, emphasis is placed on the analysis of resource utilisation. Other evaluations, however, have recognized the implications of incorporating different prices into the final results. In this study we show both scenarios. The factors that determine the cost of schizophrenia for the Spanish case are similar to the factors encountered in studies carried out in other countries.Implications for Health Policies: Treatment costs may be reduced by the prevention of psychotic symptoms and relapse.Implications for Future Research: The use of the same price data in multicentre studies may not be realistic. More effort should be made to obtain price data from all the centres or countries participating in a study. In the present study, only direct healthcare and social costs have been included. Future research should consider informal and indirect costs.
dc.publisher1091-4358
dc.relation.ispartofJournal of Mental Health Policy and Economics
dc.sourceJournal of Mental Health Policy and Economics[ISSN 1091-4358],v. 8, p. 153-165
dc.subject.otherService Mapping Schedule
dc.subject.otherMental-Health-Care
dc.subject.otherEconomic-Evaluation
dc.subject.otherMultilevel Models
dc.subject.otherHeart-Failure
dc.subject.otherLinear-Models
dc.subject.otherEfficiency
dc.subject.otherPatterns
dc.subject.otherIllness
dc.subject.otherAreas
dc.titleAn analysis of the costs of treating schizophrenia in Spain: A hierarchical bayesian approach
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.scopus26944461562
dc.identifier.isi000232211300005
dcterms.isPartOfJournal Of Mental Health Policy And Economics
dcterms.sourceJournal Of Mental Health Policy And Economics[ISSN 1091-4358],v. 8 (3), p. 153-165
dc.contributor.authorscopusid6602318225
dc.contributor.authorscopusid9249657200
dc.contributor.authorscopusid6602371387
dc.contributor.authorscopusid57201356628
dc.contributor.authorscopusid23668995400
dc.contributor.authorscopusid34569951400
dc.contributor.authorscopusid57201763249
dc.description.lastpage165
dc.description.firstpage153
dc.relation.volume8
dc.type2Artículoes
dc.identifier.wosWOS:000232211300005
dc.contributor.daisngid29952969
dc.contributor.daisngid1028174
dc.contributor.daisngid1285254
dc.contributor.daisngid1637604
dc.contributor.daisngid16216473
dc.contributor.daisngid11341
dc.contributor.daisngid12281092
dc.contributor.daisngid183460
dc.identifier.investigatorRIDD-1423-2011
dc.identifier.investigatorRIDK-8293-2017
dc.identifier.investigatorRIDNo ID
dc.identifier.investigatorRIDNo ID
dc.contributor.wosstandardWOS:Vazquez-Polo, FJ
dc.contributor.wosstandardWOS:Negrin, M
dc.contributor.wosstandardWOS:Cabases, JM
dc.contributor.wosstandardWOS:Sanchez, E
dc.contributor.wosstandardWOS:Haro, JM
dc.contributor.wosstandardWOS:Salvador-Carulla, L
dc.date.coverdateSeptiembre 2005
dc.identifier.ulpgces
dc.description.ssciSSCI
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-0632-6138-
crisitem.author.orcid0000-0002-7074-6268-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameVázquez Polo, Francisco José-
crisitem.author.fullNameNegrín Hernández, Miguel Ángel-
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