1 resultado para self-perceived recovery performance
em Repositorio Institucional de la Universidad Pública de Navarra - Espanha
Filtro por publicador
- Repository Napier (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Aberystwyth University Repository - Reino Unido (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (1)
- Aquatic Commons (3)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (2)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (5)
- Aston University Research Archive (19)
- B-Digital - Universidade Fernando Pessoa - Portugal (1)
- Biblioteca de Teses e Dissertações da USP (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (9)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (1)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (7)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (44)
- Boston University Digital Common (4)
- Brock University, Canada (26)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (19)
- CentAUR: Central Archive University of Reading - UK (10)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (30)
- Cochin University of Science & Technology (CUSAT), India (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (5)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (73)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Archives@Colby (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons @ Winthrop University (1)
- Digital Commons at Florida International University (20)
- DigitalCommons@The Texas Medical Center (14)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (4)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (21)
- Indian Institute of Science - Bangalore - Índia (38)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico do Porto, Portugal (7)
- Instituto Superior de Psicologia Aplicada - Lisboa (4)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (2)
- Open University Netherlands (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- Portal de Revistas Científicas Complutenses - Espanha (5)
- QSpace: Queen's University - Canada (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (92)
- Queensland University of Technology - ePrints Archive (269)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (4)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (2)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositorio Institucional de la Universidad Pública de Navarra - Espanha (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (29)
- Research Open Access Repository of the University of East London. (4)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Savoirs UdeS : plateforme de diffusion de la production intellectuelle de l’Université de Sherbrooke - Canada (2)
- School of Medicine, Washington University, United States (3)
- Scielo España (1)
- The Scholarly Commons | School of Hotel Administration; Cornell University Research (1)
- Universidad de Alicante (8)
- Universidad del Rosario, Colombia (9)
- Universidad Politécnica de Madrid (7)
- Universidade de Lisboa - Repositório Aberto (3)
- Universidade Federal do Rio Grande do Norte (UFRN) (6)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (9)
- Université de Montréal, Canada (4)
- University of Canberra Research Repository - Australia (1)
- University of Michigan (6)
- University of Queensland eSpace - Australia (15)
- University of Washington (3)
- WestminsterResearch - UK (10)
- Worcester Research and Publications - Worcester Research and Publications - UK (4)
Resumo:
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.