An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.

Detalhes bibliográficos
Autor(a) principal: Oliveira, Henrique
Data de Publicação: 2019
Outros Autores: Lopes, Manuel, Fonseca, CÉSAR
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10174/27312
https://doi.org/DOI https://doi.org/10.1007/978-3-030-16028-9_31
Resumo: Abstract Objectives: To find how many elderly persons with 65 years and older are within a service area of each Integrated Continuous Care Team (Equipa de Cuidados Continuados Integrados - ECCI), with each area computed around the geographic location of each ECCI headquarters and encompassing all accessible streets that can be reached within a certain travel time spent on driving a vehicle. Methods: A Geographic Information Systems (GIS) was developed, based on the geographical location of the elderly persons residing in the Alentejo region of Portugal (the study area), whose data was derived from the last National population census. Then, a network dataset model was also added to the GIS system, corresponding to a model of the real street network of the study area. After that, the GIS Service Area Solver was applied to determine all the ECCI service areas (one service area per each ECCI). Finally, the aim was to identify the several residing areas that overlap each ECCI service are, in order to compute the total number of elderlies residing within each ECCI service area. Results: The number of elderly residents covered by ECCI teams for two ARS sub-regions increased, notably from 36725 to 40841 in relation to the ARS Alentejo Central, as well as from 19264 to 31429 in relation to the ARS Baixo Alentejo, when considering the ECCI service areas instead of the geographic division based on the Municipalities. Discussion: The increase in elderly resident population that can be covered by ECCI teams in ARS Alentejo, based on the calculation of GIS services areas, was set in 14.6%.
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spelling An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.Integrated ContinuousCare Teams ElderlyAbstract Objectives: To find how many elderly persons with 65 years and older are within a service area of each Integrated Continuous Care Team (Equipa de Cuidados Continuados Integrados - ECCI), with each area computed around the geographic location of each ECCI headquarters and encompassing all accessible streets that can be reached within a certain travel time spent on driving a vehicle. Methods: A Geographic Information Systems (GIS) was developed, based on the geographical location of the elderly persons residing in the Alentejo region of Portugal (the study area), whose data was derived from the last National population census. Then, a network dataset model was also added to the GIS system, corresponding to a model of the real street network of the study area. After that, the GIS Service Area Solver was applied to determine all the ECCI service areas (one service area per each ECCI). Finally, the aim was to identify the several residing areas that overlap each ECCI service are, in order to compute the total number of elderlies residing within each ECCI service area. Results: The number of elderly residents covered by ECCI teams for two ARS sub-regions increased, notably from 36725 to 40841 in relation to the ARS Alentejo Central, as well as from 19264 to 31429 in relation to the ARS Baixo Alentejo, when considering the ECCI service areas instead of the geographic division based on the Municipalities. Discussion: The increase in elderly resident population that can be covered by ECCI teams in ARS Alentejo, based on the calculation of GIS services areas, was set in 14.6%.2020-02-26T14:18:43Z2020-02-262019-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/27312http://hdl.handle.net/10174/27312https://doi.org/DOI https://doi.org/10.1007/978-3-030-16028-9_31porhttps://link.springer.com/chapter/10.1007/978-3-030-16028-9_31ndmjl@uevora.ptcfonseca@uevora.ptOliveira, HenriqueLopes, ManuelFonseca, CÉSARinfo: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:RCAAP2024-01-03T19:22:38Zoai:dspace.uevora.pt:10174/27312Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:17:21.654086Repositório 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 An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
title An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
spellingShingle An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
Oliveira, Henrique
Integrated Continuous
Care Teams Elderly
title_short An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
title_full An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
title_fullStr An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
title_full_unstemmed An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
title_sort An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
author Oliveira, Henrique
author_facet Oliveira, Henrique
Lopes, Manuel
Fonseca, CÉSAR
author_role author
author2 Lopes, Manuel
Fonseca, CÉSAR
author2_role author
author
dc.contributor.author.fl_str_mv Oliveira, Henrique
Lopes, Manuel
Fonseca, CÉSAR
dc.subject.por.fl_str_mv Integrated Continuous
Care Teams Elderly
topic Integrated Continuous
Care Teams Elderly
description Abstract Objectives: To find how many elderly persons with 65 years and older are within a service area of each Integrated Continuous Care Team (Equipa de Cuidados Continuados Integrados - ECCI), with each area computed around the geographic location of each ECCI headquarters and encompassing all accessible streets that can be reached within a certain travel time spent on driving a vehicle. Methods: A Geographic Information Systems (GIS) was developed, based on the geographical location of the elderly persons residing in the Alentejo region of Portugal (the study area), whose data was derived from the last National population census. Then, a network dataset model was also added to the GIS system, corresponding to a model of the real street network of the study area. After that, the GIS Service Area Solver was applied to determine all the ECCI service areas (one service area per each ECCI). Finally, the aim was to identify the several residing areas that overlap each ECCI service are, in order to compute the total number of elderlies residing within each ECCI service area. Results: The number of elderly residents covered by ECCI teams for two ARS sub-regions increased, notably from 36725 to 40841 in relation to the ARS Alentejo Central, as well as from 19264 to 31429 in relation to the ARS Baixo Alentejo, when considering the ECCI service areas instead of the geographic division based on the Municipalities. Discussion: The increase in elderly resident population that can be covered by ECCI teams in ARS Alentejo, based on the calculation of GIS services areas, was set in 14.6%.
publishDate 2019
dc.date.none.fl_str_mv 2019-03-01T00:00:00Z
2020-02-26T14:18:43Z
2020-02-26
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http://hdl.handle.net/10174/27312
https://doi.org/DOI https://doi.org/10.1007/978-3-030-16028-9_31
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https://doi.org/DOI https://doi.org/10.1007/978-3-030-16028-9_31
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