Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016

Bibliographic Details
Main Author: Gomes, Inês
Publication Date: 2020
Other Authors: Moita, Bruno, Nunes, C
Format: Article
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/10362/101852
Summary: Breast cancer (BC) is the most common cancer among Portuguese women and it is associated with high hospitalization rates. Therefore, this study aims to characterize the BC hospital admission rate (HAR) in women in the period of 2002-2016, with an additional focus on spatiotemporal patterns of hospitalizations by BC (main code). Methods: After a descriptive analysis of all BC hospitalizations, the main BC code HAR was studied using mapping techniques, analysis of spatiotemporal clusters, and analysis of spatial variations in temporal trends. Results: The BC-HAR was 118.72/105 women, showing a growth of 3.109% per year in this period. The median length of stay (LOS) in these patients was 5 days, and most cases were programmed surgical admissions. Several spatiotemporal clusters and spatial variations in temporal trends were detected. The seaside area of the country showed 4 high HAR clusters in the spatiotemporal analysis. Additionally, the seaside north of the country and 2 isolated counties presented significantly different temporal trends in BC-HAR versus the rest of the country. These clusters suggest regional asymmetries, as they showed differences in terms of: demographic characteristics (age at admission and rurality of county of residence), the type of admission, LOS, and outcomes of hospitalization. Conclusion: This study identified key areas of high BC-HAR and increasing trends for female HAR, providing evidence of spatial heterogeneities in this health indicator.
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spelling Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016SDG 3 - Good Health and Well-beingBreast cancer (BC) is the most common cancer among Portuguese women and it is associated with high hospitalization rates. Therefore, this study aims to characterize the BC hospital admission rate (HAR) in women in the period of 2002-2016, with an additional focus on spatiotemporal patterns of hospitalizations by BC (main code). Methods: After a descriptive analysis of all BC hospitalizations, the main BC code HAR was studied using mapping techniques, analysis of spatiotemporal clusters, and analysis of spatial variations in temporal trends. Results: The BC-HAR was 118.72/105 women, showing a growth of 3.109% per year in this period. The median length of stay (LOS) in these patients was 5 days, and most cases were programmed surgical admissions. Several spatiotemporal clusters and spatial variations in temporal trends were detected. The seaside area of the country showed 4 high HAR clusters in the spatiotemporal analysis. Additionally, the seaside north of the country and 2 isolated counties presented significantly different temporal trends in BC-HAR versus the rest of the country. These clusters suggest regional asymmetries, as they showed differences in terms of: demographic characteristics (age at admission and rurality of county of residence), the type of admission, LOS, and outcomes of hospitalization. Conclusion: This study identified key areas of high BC-HAR and increasing trends for female HAR, providing evidence of spatial heterogeneities in this health indicator.Centro de Investigação em Saúde Pública (CISP/PHRC)Escola Nacional de Saúde Pública (ENSP)RUNGomes, InêsMoita, BrunoNunes, C2020-07-31T22:46:55Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/101852eng2504-3137PURE: 19288653info: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:RCAAP2024-03-11T04:48:11Zoai:run.unl.pt:10362/101852Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:39:42.855666Repositório 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 Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
title Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
spellingShingle Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
Gomes, Inês
SDG 3 - Good Health and Well-being
title_short Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
title_full Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
title_fullStr Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
title_full_unstemmed Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
title_sort Spatiotemporal analysis of breast cancer hospitalizations in Portugal in 2002–2016
author Gomes, Inês
author_facet Gomes, Inês
Moita, Bruno
Nunes, C
author_role author
author2 Moita, Bruno
Nunes, C
author2_role author
author
dc.contributor.none.fl_str_mv Centro de Investigação em Saúde Pública (CISP/PHRC)
Escola Nacional de Saúde Pública (ENSP)
RUN
dc.contributor.author.fl_str_mv Gomes, Inês
Moita, Bruno
Nunes, C
dc.subject.por.fl_str_mv SDG 3 - Good Health and Well-being
topic SDG 3 - Good Health and Well-being
description Breast cancer (BC) is the most common cancer among Portuguese women and it is associated with high hospitalization rates. Therefore, this study aims to characterize the BC hospital admission rate (HAR) in women in the period of 2002-2016, with an additional focus on spatiotemporal patterns of hospitalizations by BC (main code). Methods: After a descriptive analysis of all BC hospitalizations, the main BC code HAR was studied using mapping techniques, analysis of spatiotemporal clusters, and analysis of spatial variations in temporal trends. Results: The BC-HAR was 118.72/105 women, showing a growth of 3.109% per year in this period. The median length of stay (LOS) in these patients was 5 days, and most cases were programmed surgical admissions. Several spatiotemporal clusters and spatial variations in temporal trends were detected. The seaside area of the country showed 4 high HAR clusters in the spatiotemporal analysis. Additionally, the seaside north of the country and 2 isolated counties presented significantly different temporal trends in BC-HAR versus the rest of the country. These clusters suggest regional asymmetries, as they showed differences in terms of: demographic characteristics (age at admission and rurality of county of residence), the type of admission, LOS, and outcomes of hospitalization. Conclusion: This study identified key areas of high BC-HAR and increasing trends for female HAR, providing evidence of spatial heterogeneities in this health indicator.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-31T22:46:55Z
2020
2020-01-01T00:00:00Z
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url http://hdl.handle.net/10362/101852
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language eng
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