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

Detalhes bibliográficos
Autor(a) principal: Moraisa,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://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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spelling 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
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dc.language.iso.fl_str_mv eng
language eng
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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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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