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A spatial econometric analysis of the calls to the Portuguese National Health Line

2017-06Journal article Restricted access
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dc.contributor.authorSimões, Paula
dc.contributor.authorCarvalho, M. Lucília
dc.contributor.authorAleixo, Sandra
dc.contributor.authorGomes, Sérgio
dc.contributor.authorNatário, Isabel
dc.date.accessioned2019-03-25T09:26:32Z
dc.date.available2019-03-25T09:26:32Z
dc.date.issued2017-06
dc.description.abstractThe 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSIMÕES, Paula; [et al] – A spatial econometric analysis of the calls to the Portuguese National Health Line. Econometrics. ISSN 2225-1146. Vol. 5, N.º 2 (2017), pp. 1-23pt_PT
dc.identifier.doi10.3390/econometrics5020024pt_PT
dc.identifier.issn2225-1146
dc.identifier.urihttp://hdl.handle.net/10400.21/9769
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.subjectBayesian spatial econometric modelspt_PT
dc.subjectHierarchical modelspt_PT
dc.subjectAutoregressive modelspt_PT
dc.subjectPoissonpt_PT
dc.subjectModelos hierárquicospt_PT
dc.subjectModelos autorregressivospt_PT
dc.titleA spatial econometric analysis of the calls to the Portuguese National Health Linept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00297%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FMAT%2F00006%2F2013/PT
oaire.citation.endPage23pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleEconometricspt_PT
oaire.citation.volume5pt_PT
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNameAleixo
person.familyNameNatário
person.givenNameSandra
person.givenNameIsabel
person.identifierR-000-67W
person.identifier.ciencia-idFA1D-DACF-6CAE
person.identifier.orcid0000-0003-1740-8371
person.identifier.orcid0000-0001-6020-9373
person.identifier.scopus-author-id24829443600
person.identifier.scopus-author-id6508376082
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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