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Spatial distribution of specialized cardiac care units in the state of Santa Catarina

OBJECTIVE: To analyze the methodology used for assessing the spatial distribution of specialized cardiac care units. METHODS: A modeling and simulation method was adopted for the practical application of cardiac care service in the state of Santa Catarina, Southern Brazil, using the p-median model....

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Detalles Bibliográficos
Autores principales: Cirino, Silviana, Lima, Fabiana Santos, Gonçalves, Mirian Buss
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4285834/
https://www.ncbi.nlm.nih.gov/pubmed/26039394
http://dx.doi.org/10.1590/S0034-8910.2014048005139
Descripción
Sumario:OBJECTIVE: To analyze the methodology used for assessing the spatial distribution of specialized cardiac care units. METHODS: A modeling and simulation method was adopted for the practical application of cardiac care service in the state of Santa Catarina, Southern Brazil, using the p-median model. As the state is divided into 21 health care regions, a methodology which suggests an arrangement of eight intermediate cardiac care units was analyzed, comparing the results obtained using data from 1996 and 2012. RESULTS: Results obtained using data from 2012 indicated significant changes in the state, particularly in relation to the increased population density in the coastal regions. The current study provided a satisfactory response, indicated by the homogeneity of the results regarding the location of the intermediate cardiac care units and their respective regional administrations, thereby decreasing the average distance traveled by users to health care units, located in higher population density areas. The validity of the model was corroborated through the analysis of the allocation of the median vertices proposed in 1996 and 2012. CONCLUSIONS: The current spatial distribution of specialized cardiac care units is more homogeneous and reflects the demographic changes that have occurred in the state over the last 17 years. The comparison between the two simulations and the current configuration showed the validity of the proposed model as an aid in decision making for system expansion.