Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care

Goal: The study proposes a methodology to characterize geodemographic aspects causing constraints on the geographical accessibility of nursing care in one of the most aging regions of Portugal, using Geographic Information Systems. The proposed work analyzes data from population censuses of elderly...

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Main Authors: Maria Margarida Palma Góis, Henrique José Monteiro Oliveira, Manuel José Lopes
Format: Article
Language:English
Published: Universidade de Évora 2016-12-01
Series:RIASE
Subjects:
Online Access:http://www.revistas.uevora.pt/index.php/saude_envelhecimento/article/view/150/272
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spelling doaj-833389f1a2b043ab8f5065544dd219512020-11-25T01:14:20ZengUniversidade de ÉvoraRIASE2183-66632183-66632016-12-012369370710.24902/r.riase.2016.2(3).693Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing CareMaria Margarida Palma Góis0Henrique José Monteiro Oliveira1Manuel José Lopes2 Universidade Católica Portuguesa, Portugal Instituto Superior Técnico, Portugal Universidade de Évora, PortugalGoal: The study proposes a methodology to characterize geodemographic aspects causing constraints on the geographical accessibility of nursing care in one of the most aging regions of Portugal, using Geographic Information Systems. The proposed work analyzes data from population censuses of elderly people. Spatial statistical techniques, in addition to the classical statistical techniques, are used. Methods: The spatial autocorrelation of some demographic indexes values is studied, in order to characterize statistically the presence of clusters of elderly people in the study area, using the Global Index Moran. The clustering of high and low values for each of the indexes is also statistically characterized, using the calculation of GI* statistics. Findings: Areas envisaging a more frequent usage of nursing cares are identified. Conclusions: The study calls for the necessary programmatic management of material and human resources in nursing, considering the possibility of minimizing the effects caused by the heterogeneous aging of the population.http://www.revistas.uevora.pt/index.php/saude_envelhecimento/article/view/150/272Nursing CareElderlyspatial statisticsgeographic information systems.
collection DOAJ
language English
format Article
sources DOAJ
author Maria Margarida Palma Góis
Henrique José Monteiro Oliveira
Manuel José Lopes
spellingShingle Maria Margarida Palma Góis
Henrique José Monteiro Oliveira
Manuel José Lopes
Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care
RIASE
Nursing Care
Elderly
spatial statistics
geographic information systems.
author_facet Maria Margarida Palma Góis
Henrique José Monteiro Oliveira
Manuel José Lopes
author_sort Maria Margarida Palma Góis
title Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care
title_short Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care
title_full Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care
title_fullStr Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care
title_full_unstemmed Spatial Analysis Techniques Applied to the Characterization of Elderly Population for the Planning of Nursing Care
title_sort spatial analysis techniques applied to the characterization of elderly population for the planning of nursing care
publisher Universidade de Évora
series RIASE
issn 2183-6663
2183-6663
publishDate 2016-12-01
description Goal: The study proposes a methodology to characterize geodemographic aspects causing constraints on the geographical accessibility of nursing care in one of the most aging regions of Portugal, using Geographic Information Systems. The proposed work analyzes data from population censuses of elderly people. Spatial statistical techniques, in addition to the classical statistical techniques, are used. Methods: The spatial autocorrelation of some demographic indexes values is studied, in order to characterize statistically the presence of clusters of elderly people in the study area, using the Global Index Moran. The clustering of high and low values for each of the indexes is also statistically characterized, using the calculation of GI* statistics. Findings: Areas envisaging a more frequent usage of nursing cares are identified. Conclusions: The study calls for the necessary programmatic management of material and human resources in nursing, considering the possibility of minimizing the effects caused by the heterogeneous aging of the population.
topic Nursing Care
Elderly
spatial statistics
geographic information systems.
url http://www.revistas.uevora.pt/index.php/saude_envelhecimento/article/view/150/272
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AT manueljoselopes spatialanalysistechniquesappliedtothecharacterizationofelderlypopulationfortheplanningofnursingcare
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