An Approach to Help Identifying Optimized Service Areas of Integrated Continuous Care Teams (ECCI): A Case Study in Alentejo - Portugal.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , |
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%. |
id |
RCAP_c8d83047fde03acc1272890e1796ad6b |
---|---|
oai_identifier_str |
oai:dspace.uevora.pt:10174/27312 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/27312 http://hdl.handle.net/10174/27312 https://doi.org/DOI https://doi.org/10.1007/978-3-030-16028-9_31 |
url |
http://hdl.handle.net/10174/27312 https://doi.org/DOI https://doi.org/10.1007/978-3-030-16028-9_31 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://link.springer.com/chapter/10.1007/978-3-030-16028-9_31 nd mjl@uevora.pt cfonseca@uevora.pt |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799136656217866240 |