A spatial econometric analysis of the calls to the portuguese national health line

Detalhes bibliográficos
Autor(a) principal: Simões, Paula
Data de Publicação: 2017
Outros Autores: Carvalho, M. Lucília, Aleixo, Sandra, Gomes, Sérgio, Natário, Isabel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.3390/econometrics5020024
Resumo: This work is financed by national funds through FCT-Foundation for Science and Technology-under the projects UID/MAT/00297/2013 and UID/MAT/00006/2013.
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spelling A spatial econometric analysis of the calls to the portuguese national health lineAutoregressive modelsBayesian spatial econometric modelsHierarchical modelsPoissonEconomics and EconometricsSDG 3 - Good Health and Well-beingThis work is financed by national funds through FCT-Foundation for Science and Technology-under the projects UID/MAT/00297/2013 and UID/MAT/00006/2013.The Portuguese National Health Line, LS24, is an initiative of the Portuguese Health Ministry which seeks to improve accessibility to health care and to rationalize the use of existing resources by directing users to the most appropriate institutions of the national public health services. This study aims to describe and evaluate the use of LS24. Since for LS24 data, the location attribute is an important source of information to describe its use, this study analyses the number of calls received, at a municipal level, under two different spatial econometric approaches. This analysis is important for future development of decision support indicators in a hospital context, based on the economic impact of the use of this health line. Considering the discrete nature of data, the number of calls to LS24 in each municipality is better modelled by a Poisson model, with some possible covariates: demographic, socio-economic information, characteristics of the Portuguese health system and development indicators. In order to explain model spatial variability, the data autocorrelation can be explained in a Bayesian setting through different hierarchical log-Poisson regression models. A different approach uses an autoregressive methodology, also for count data. A log-Poisson model with a spatial lag autocorrelation component is further considered, better framed under a Bayesian paradigm. With this empirical study we find strong evidence for a spatial structure in the data and obtain similar conclusions with both perspectives of the analysis. This supports the view that the addition of a spatial structure to the model improves estimation, even in the case where some relevant covariates have been included.CMA - Centro de Matemática e AplicaçõesDM - Departamento de MatemáticaRUNSimões, PaulaCarvalho, M. LucíliaAleixo, SandraGomes, SérgioNatário, Isabel2019-07-11T22:43:33Z2017-06-012017-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.3390/econometrics5020024eng2225-1146PURE: 13345227http://www.scopus.com/inward/record.url?scp=85063831948&partnerID=8YFLogxKhttps://doi.org/10.3390/econometrics5020024info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:34:26Zoai:run.unl.pt:10362/75191Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:29.552777Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A spatial econometric analysis of the calls to the portuguese national health line
title A spatial econometric analysis of the calls to the portuguese national health line
spellingShingle A spatial econometric analysis of the calls to the portuguese national health line
Simões, Paula
Autoregressive models
Bayesian spatial econometric models
Hierarchical models
Poisson
Economics and Econometrics
SDG 3 - Good Health and Well-being
title_short A spatial econometric analysis of the calls to the portuguese national health line
title_full A spatial econometric analysis of the calls to the portuguese national health line
title_fullStr A spatial econometric analysis of the calls to the portuguese national health line
title_full_unstemmed A spatial econometric analysis of the calls to the portuguese national health line
title_sort A spatial econometric analysis of the calls to the portuguese national health line
author Simões, Paula
author_facet Simões, Paula
Carvalho, M. Lucília
Aleixo, Sandra
Gomes, Sérgio
Natário, Isabel
author_role author
author2 Carvalho, M. Lucília
Aleixo, Sandra
Gomes, Sérgio
Natário, Isabel
author2_role author
author
author
author
dc.contributor.none.fl_str_mv CMA - Centro de Matemática e Aplicações
DM - Departamento de Matemática
RUN
dc.contributor.author.fl_str_mv Simões, Paula
Carvalho, M. Lucília
Aleixo, Sandra
Gomes, Sérgio
Natário, Isabel
dc.subject.por.fl_str_mv Autoregressive models
Bayesian spatial econometric models
Hierarchical models
Poisson
Economics and Econometrics
SDG 3 - Good Health and Well-being
topic Autoregressive models
Bayesian spatial econometric models
Hierarchical models
Poisson
Economics and Econometrics
SDG 3 - Good Health and Well-being
description This work is financed by national funds through FCT-Foundation for Science and Technology-under the projects UID/MAT/00297/2013 and UID/MAT/00006/2013.
publishDate 2017
dc.date.none.fl_str_mv 2017-06-01
2017-06-01T00:00:00Z
2019-07-11T22:43:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.3390/econometrics5020024
url https://doi.org/10.3390/econometrics5020024
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2225-1146
PURE: 13345227
http://www.scopus.com/inward/record.url?scp=85063831948&partnerID=8YFLogxK
https://doi.org/10.3390/econometrics5020024
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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