Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning

Detalhes bibliográficos
Autor(a) principal: Morais, Liliane
Data de Publicação: 2022
Outros Autores: Lopes, António, Rocha, Jorge, Nogueira, Paulo Jorge
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/56318
Resumo: 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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spelling Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban PlanningPublic healthHealthcare managementPolicymakers awarenessGeographic scalesCardiorespiratory mortalityIn 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.No contexto da emergência climática, os avanços nos Sistemas de Informação Geográfica, a geocodificação e a geomedicina, permitem ir além das escalas convencionais e alinharmo-nos às necessidades das pessoas, melhorando o conhecimento e a precisão do padrão espacial dos resultados de saúde (health outcomes). Este estudo mostra como a escala geográfica de análise afeta a interpretação dos resultados de saúde. Métodos: Toda a mortalidade ocorrida em Portugal em 2014–2017 foi geocodificada. De 435.291 endereços, 412.608 foram geocodificados com sucesso. Como exemplo, foram utilizados os padrões espaciais da mortalidade cardiorrespiratória associada ao calor nos idosos. Resultados: Foi demonstrado: i) é possível ter elevada qualidade e precisão dos dados espaciais utilizados na análise dos resultados de saúde; ii) como as escalas geográficas revelam diferentes graus de detalhe na análise dos resultados de saúde; iii) a escala do “bairro” revelou padrões de mortalidade cardiorrespiratória diferentes da escala habitualmente disponível (freguesia). Discussão/Conclusão: A nossa análise sugere a relevância em geocodificar os resultados de saúde numa escala mais fina para enfrentar os desafios do sector da saúde e apoiar a tomada de decisões do planeamento, coincidindo estritamente com as necessidades dos cidadãos. Sem correr o risco de perder perspetivas potencialmente importantes, é possível obter uma melhor gestão da saúde, com uma alocação dos recursos otimizada. Assim como é possível uma melhor formulação de políticas, detalhada e esclarecida, permitindo maior equidade de saúde climática na promoção das cidades.KargerRepositório da Universidade de LisboaMorais, LilianeLopes, AntónioRocha, JorgeNogueira, Paulo Jorge2023-02-15T12:09:23Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/56318engMorais L, Lopes A, Rocha J, Nogueira P, J. (2022). Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning. Portuguese Journal of Public Health, 40, 140-154. https://doi.org/10.1159/0005271622504-313710.1159/0005271622504-3145info: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:RCAAP2023-11-08T17:03:49Zoai:repositorio.ul.pt:10451/56318Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:06:52.716824Repositório 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
Morais, 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 Morais, Liliane
author_facet Morais, 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.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Morais, 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 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
2022-01-01T00:00:00Z
2023-02-15T12:09:23Z
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/10451/56318
url http://hdl.handle.net/10451/56318
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Morais L, Lopes A, Rocha J, Nogueira P, J. (2022). Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning. Portuguese Journal of Public Health, 40, 140-154. https://doi.org/10.1159/000527162
2504-3137
10.1159/000527162
2504-3145
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Karger
publisher.none.fl_str_mv Karger
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
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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
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