Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/5149
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dc.contributor.authorPolzin,Pen
dc.contributor.authorJosé Luís Borgesen
dc.contributor.authorAntónio Coelhoen
dc.date.accessioned2017-12-31T14:15:08Z-
dc.date.available2017-12-31T14:15:08Z-
dc.date.issued2017en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/5149-
dc.identifier.urihttp://dx.doi.org/10.5539/jms.v7n1p1en
dc.description.abstract<jats:p>In continental Portugal, the publicly financed supply of gastroenterology exams was limited since the end of the last century, restricted to a fixed set of private providers that was hired by the Portuguese state. This way of contracting created market entry barriers and is inefficient, since prices are administratively set. Besides, it produced access inequalities, because of the way that the supply was geographically distributed. This paper applies the Extended Kernel Density 4-Step Floating Catchment Area (EKD4SFCA) method to identify priority districts for the promotion of new supply by the state, in order to choose the appropriate way of contracting new private supply, as determined by current law, and to reduce access inequalities. The applied method enables the identification of the Portuguese regions with strong competition between health care providers and where patients’ access to publicly financed gastroenterology exams is relatively low. In these regions, the state should promote public bids to stimulate new supply, exploring thereby the potential for setting lower prices and reducing access inequalities.</jats:p>en
dc.languageengen
dc.relation3132en
dc.relation5991en
dc.rightsinfo:eu-repo/semantics/embargoedAccessen
dc.titleApplying an Extended Kernel Density 4-Step Floating Catchment Area Method to Identify Priority Districts to Promote New Publicly Financed Supply of Gastroenterology Examsen
dc.typearticleen
dc.typePublicationen
Appears in Collections:CEGI - Articles in International Journals
CSIG - Articles in International Journals

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