Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Geriatrics, Gerontology and Aging (Online) |
Texto Completo: | https://ggaging.com/details/1709 |
Resumo: | <p><b>OBJECTIVES:</b> To map the number and geospatial distribution of Brazilian long-term care facilities (LTCFs) for older adults. Additionally, we sought to highlight the relationship between these findings and the number of older people in the country’s 27 Federation Units, demonstrating the growth of these facilities in the last decade.<br> <b>METHODS:</b> This is a descriptive observational study, using secondary data, which was performed in 3 stages: 1) searching and consolidating national and subnational data from different sources and mapping LTCFs; 2) preparing a geospatial map using Brazilian postal codes; and 3) triangulating the number of facilities and of older people in each state and all 5 Brazilian regions.<br> <b>RESULTS:</b> We found 7029 LTCFs in the country, mostly in the Southeast and South regions: São Paulo, Minas Gerais and Rio Grande do Sul had the highest numbers of facilities while states in the North region represented only 1.12% of Brazilian LTCFs. Geospatial mapping highlighted that 64% of the 5 570 Brazilian municipalities did not have any LTCFs for older adults.<br> <b>CONCLUSIONS:</b> We observed a large difference between Brazilian regions regarding the provision of long-term care.</p> |
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Geriatrics, Gerontology and Aging (Online) |
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Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalitieshomes for the aged demography, aged.<p><b>OBJECTIVES:</b> To map the number and geospatial distribution of Brazilian long-term care facilities (LTCFs) for older adults. Additionally, we sought to highlight the relationship between these findings and the number of older people in the country’s 27 Federation Units, demonstrating the growth of these facilities in the last decade.<br> <b>METHODS:</b> This is a descriptive observational study, using secondary data, which was performed in 3 stages: 1) searching and consolidating national and subnational data from different sources and mapping LTCFs; 2) preparing a geospatial map using Brazilian postal codes; and 3) triangulating the number of facilities and of older people in each state and all 5 Brazilian regions.<br> <b>RESULTS:</b> We found 7029 LTCFs in the country, mostly in the Southeast and South regions: São Paulo, Minas Gerais and Rio Grande do Sul had the highest numbers of facilities while states in the North region represented only 1.12% of Brazilian LTCFs. Geospatial mapping highlighted that 64% of the 5 570 Brazilian municipalities did not have any LTCFs for older adults.<br> <b>CONCLUSIONS:</b> We observed a large difference between Brazilian regions regarding the provision of long-term care.</p>Sociedade Brasileira de Geriatria e Gerontologia2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttps://ggaging.com/details/1709Geriatrics, Gerontology and Aging v.15 n.0 2021reponame:Geriatrics, Gerontology and Aging (Online)instname:Sociedade Brasileira de Geriatria e Gerontologiainstacron:SBGG10.53886/gga.e0210060info:eu-repo/semantics/openAccess Lacerda,Tatiana Teixeira Barral de Neves,Ana Paula Miranda Buarque,Giselle Layse Andrade Freitas,Denise Cuoghi de Carvalho Veríssimo Tessarolo,Mariana Medeiros Mota González,Newton Barbieri,Silvio Fernando Camarano,Ana Amélia Giacomin,Karla Cristina Boas,Paulo José Fortes Villaseng2021-01-01T00:00:00Zoai:ggaging.com:1709Revistahttp://sbgg.org.br/publicacoes-cientificas/revista-geriatria-gerontologia/ONGhttps://old.scielo.br/oai/scielo-oai.phpexecutiveditors@ggaging.com||nacional@sbgg.org.br2447-21232447-2115opendoar:2021-01-01T00:00Geriatrics, Gerontology and Aging (Online) - Sociedade Brasileira de Geriatria e Gerontologiafalse |
dc.title.none.fl_str_mv |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
title |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
spellingShingle |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities Lacerda,Tatiana Teixeira Barral de homes for the aged demography, aged. |
title_short |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
title_full |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
title_fullStr |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
title_full_unstemmed |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
title_sort |
Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities |
author |
Lacerda,Tatiana Teixeira Barral de |
author_facet |
Lacerda,Tatiana Teixeira Barral de Neves,Ana Paula Miranda Buarque,Giselle Layse Andrade Freitas,Denise Cuoghi de Carvalho Veríssimo Tessarolo,Mariana Medeiros Mota González,Newton Barbieri,Silvio Fernando Camarano,Ana Amélia Giacomin,Karla Cristina Boas,Paulo José Fortes Villas |
author_role |
author |
author2 |
Neves,Ana Paula Miranda Buarque,Giselle Layse Andrade Freitas,Denise Cuoghi de Carvalho Veríssimo Tessarolo,Mariana Medeiros Mota González,Newton Barbieri,Silvio Fernando Camarano,Ana Amélia Giacomin,Karla Cristina Boas,Paulo José Fortes Villas |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Lacerda,Tatiana Teixeira Barral de Neves,Ana Paula Miranda Buarque,Giselle Layse Andrade Freitas,Denise Cuoghi de Carvalho Veríssimo Tessarolo,Mariana Medeiros Mota González,Newton Barbieri,Silvio Fernando Camarano,Ana Amélia Giacomin,Karla Cristina Boas,Paulo José Fortes Villas |
dc.subject.por.fl_str_mv |
homes for the aged demography, aged. |
topic |
homes for the aged demography, aged. |
description |
<p><b>OBJECTIVES:</b> To map the number and geospatial distribution of Brazilian long-term care facilities (LTCFs) for older adults. Additionally, we sought to highlight the relationship between these findings and the number of older people in the country’s 27 Federation Units, demonstrating the growth of these facilities in the last decade.<br> <b>METHODS:</b> This is a descriptive observational study, using secondary data, which was performed in 3 stages: 1) searching and consolidating national and subnational data from different sources and mapping LTCFs; 2) preparing a geospatial map using Brazilian postal codes; and 3) triangulating the number of facilities and of older people in each state and all 5 Brazilian regions.<br> <b>RESULTS:</b> We found 7029 LTCFs in the country, mostly in the Southeast and South regions: São Paulo, Minas Gerais and Rio Grande do Sul had the highest numbers of facilities while states in the North region represented only 1.12% of Brazilian LTCFs. Geospatial mapping highlighted that 64% of the 5 570 Brazilian municipalities did not have any LTCFs for older adults.<br> <b>CONCLUSIONS:</b> We observed a large difference between Brazilian regions regarding the provision of long-term care.</p> |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ggaging.com/details/1709 |
url |
https://ggaging.com/details/1709 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.53886/gga.e0210060 |
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 |
Sociedade Brasileira de Geriatria e Gerontologia |
publisher.none.fl_str_mv |
Sociedade Brasileira de Geriatria e Gerontologia |
dc.source.none.fl_str_mv |
Geriatrics, Gerontology and Aging v.15 n.0 2021 reponame:Geriatrics, Gerontology and Aging (Online) instname:Sociedade Brasileira de Geriatria e Gerontologia instacron:SBGG |
instname_str |
Sociedade Brasileira de Geriatria e Gerontologia |
instacron_str |
SBGG |
institution |
SBGG |
reponame_str |
Geriatrics, Gerontology and Aging (Online) |
collection |
Geriatrics, Gerontology and Aging (Online) |
repository.name.fl_str_mv |
Geriatrics, Gerontology and Aging (Online) - Sociedade Brasileira de Geriatria e Gerontologia |
repository.mail.fl_str_mv |
executiveditors@ggaging.com||nacional@sbgg.org.br |
_version_ |
1797174502927368192 |