Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452022000300140 |
Resumo: | Abstract Introduction: In the context of climate emergency, advances in geographic information systems, geocoding, and geomedicine allow us to go beyond the conventional usual scales and be aligned with people’s needs, improving knowledge and accuracy of the spatial pattern of health outcomes. This study shows that the geographical scale of analysis affects the interpretation of health outcomes. Methods: All mortality that occurred in Portugal in 2014-2017 was geocoded. From 435,291 addresses, 412,608 were geocoded with success. As an example, we use the spatial patterns of the elderly’s heat-related cardiorespiratory mortality. Results: It is shown: (i) it is possible to have high quality and accuracy of spatial data used in health outcomes analysis; (ii) how geographic scales reveal different degrees of detail in health outcomes analysis; (iii) the neighbourhood scale revealed different patterns of cardiorespiratory mortality from the usually available scale (parish). Discussion: Our findings suggest the relevance of geocoding health outcomes with a finer scale in tackling the challenges of the healthcare sector, and in support of planning decision-making, closely matching citizens’ needs. Without running the risk of losing potentially major prospects, better healthcare management is achievable, with optimal resource allocation, and improved detailed and informed policymaking, allowing enhanced climate health equity in cities promotion. |
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Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban PlanningPublic healthHealthcare managementPolicymakers awarenessGeographic scalesCardiorespiratory mortalityAbstract Introduction: In the context of climate emergency, advances in geographic information systems, geocoding, and geomedicine allow us to go beyond the conventional usual scales and be aligned with people’s needs, improving knowledge and accuracy of the spatial pattern of health outcomes. This study shows that the geographical scale of analysis affects the interpretation of health outcomes. Methods: All mortality that occurred in Portugal in 2014-2017 was geocoded. From 435,291 addresses, 412,608 were geocoded with success. As an example, we use the spatial patterns of the elderly’s heat-related cardiorespiratory mortality. Results: It is shown: (i) it is possible to have high quality and accuracy of spatial data used in health outcomes analysis; (ii) how geographic scales reveal different degrees of detail in health outcomes analysis; (iii) the neighbourhood scale revealed different patterns of cardiorespiratory mortality from the usually available scale (parish). Discussion: Our findings suggest the relevance of geocoding health outcomes with a finer scale in tackling the challenges of the healthcare sector, and in support of planning decision-making, closely matching citizens’ needs. Without running the risk of losing potentially major prospects, better healthcare management is achievable, with optimal resource allocation, and improved detailed and informed policymaking, allowing enhanced climate health equity in cities promotion.Escola Nacional de Saúde Pública2022-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452022000300140Portuguese Journal of Public Health v.40 n.3 2022reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452022000300140Moraisa,LilianeLopes,AntónioRocha,JorgeNogueira,Paulo Jorgeinfo:eu-repo/semantics/openAccess2024-02-06T17:34:35Zoai:scielo:S2504-31452022000300140Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:36:30.221651Repositório 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 |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
title |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
spellingShingle |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning Moraisa,Liliane Public health Healthcare management Policymakers awareness Geographic scales Cardiorespiratory mortality |
title_short |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
title_full |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
title_fullStr |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
title_full_unstemmed |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
title_sort |
Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning |
author |
Moraisa,Liliane |
author_facet |
Moraisa,Liliane Lopes,António Rocha,Jorge Nogueira,Paulo Jorge |
author_role |
author |
author2 |
Lopes,António Rocha,Jorge Nogueira,Paulo Jorge |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Moraisa,Liliane Lopes,António Rocha,Jorge Nogueira,Paulo Jorge |
dc.subject.por.fl_str_mv |
Public health Healthcare management Policymakers awareness Geographic scales Cardiorespiratory mortality |
topic |
Public health Healthcare management Policymakers awareness Geographic scales Cardiorespiratory mortality |
description |
Abstract Introduction: In the context of climate emergency, advances in geographic information systems, geocoding, and geomedicine allow us to go beyond the conventional usual scales and be aligned with people’s needs, improving knowledge and accuracy of the spatial pattern of health outcomes. This study shows that the geographical scale of analysis affects the interpretation of health outcomes. Methods: All mortality that occurred in Portugal in 2014-2017 was geocoded. From 435,291 addresses, 412,608 were geocoded with success. As an example, we use the spatial patterns of the elderly’s heat-related cardiorespiratory mortality. Results: It is shown: (i) it is possible to have high quality and accuracy of spatial data used in health outcomes analysis; (ii) how geographic scales reveal different degrees of detail in health outcomes analysis; (iii) the neighbourhood scale revealed different patterns of cardiorespiratory mortality from the usually available scale (parish). Discussion: Our findings suggest the relevance of geocoding health outcomes with a finer scale in tackling the challenges of the healthcare sector, and in support of planning decision-making, closely matching citizens’ needs. Without running the risk of losing potentially major prospects, better healthcare management is achievable, with optimal resource allocation, and improved detailed and informed policymaking, allowing enhanced climate health equity in cities promotion. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-01 |
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://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452022000300140 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452022000300140 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2504-31452022000300140 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública |
publisher.none.fl_str_mv |
Escola Nacional de Saúde Pública |
dc.source.none.fl_str_mv |
Portuguese Journal of Public Health v.40 n.3 2022 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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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 |
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1799137416171225088 |