Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities

Geriatrics, Gerontology and Aging

Endereço:
Avenida Nossa Senhora de Copacabana,500 - 609 - Copacabana
Rio de Janeiro / RJ
22020001
Site: http://ggaging.com
Telefone: (21) 2285-8115
ISSN: 2447-2123
Editor Chefe: Patrick Alexander Wachholz
Início Publicação: 10/10/2007
Periodicidade: Anual
Área de Estudo: Ciências da Saúde, Área de Estudo: Educação física, Área de Estudo: Enfermagem, Área de Estudo: Farmácia, Área de Estudo: Fisioterapia e terapia ocupacional, Área de Estudo: Fonoaudiologia, Área de Estudo: Medicina, Área de Estudo: Nutrição, Área de Estudo: Odontologia, Área de Estudo: Saúde coletiva, Área de Estudo: Serviço social, Área de Estudo: Multidisciplinar

Geospatial panorama of long-term care facilities in Brazil: a portrait of territorial inequalities

Ano: 2021 | Volume: 15 | Número: Não se aplica
Autores: Tatiana Teixeira Barral de Lacerdaa,b; Ana Paula Miranda Nevesb,c , Giselle Layse Andrade Buarqueb; Denise Cuoghi de Carvalho Veríssimo Freitasb,d; Mariana Medeiros Mota Tessarolob,e; Newton Gonzálezb; Silvio Fernando Barbierif; Ana Amélia Camaranob,g; Karla Cristina Giacominb,h,i; Paulo José Fortes Villas Boasb,j
Autor Correspondente: Paulo Villas Boas | [email protected]

Palavras-chave: homes for the aged; demography, aged.

Resumos Cadastrados

Resumo Inglês:

OBJECTIVES: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: We observed a large difference between Brazilian regions regarding the provision of long-term care.