Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | preprint |
Idioma: | eng |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/3035 |
Resumo: | Aim: describe the methodological approach adopted to build a Brazilian database of LCTFs in the country. Methods: This exploratory research was conducted between August 2020 and 2021 based on primarily publicly accessible data. First, the database of the Sistema Único de Assistência Social for 2019 was adopted as the primary source of information. In addition, public agencies and managers were consulted and invited to share their databases. Likewise, researchers and private entities also collaborated by making their spreadsheets available. The information collected was placed in individual spreadsheets for each Brazilian state. LTCFs not catering to older adults (aged 60 and over) were excluded. Duplicate data were excluded when overlaps were identified for each new aggregated source. Results & Discussion: This brief communication describes the methodology adopted for mapping the current status of Brazilian LTCFs. Despite its caveats, this study represents an important advance in the identification, characterization, and monitoring of these services nationwide. A total of 5769 facilities were found in the 2019 SUAS census. After excluding facilities not caring for residents aged 60 or over, this total decreased to 2381 LTCFs. Consolidating and filtering the information from multiple data sources led to the identification of 7029 LTCFs for the country as a whole. |
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Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older AdultsDescrição Metodológica do Mapeamento das Instituições de Longa-Permanência para Idosos no BrasilAgedLong-Term CareBrazilOlder adultsElderlyAim: describe the methodological approach adopted to build a Brazilian database of LCTFs in the country. Methods: This exploratory research was conducted between August 2020 and 2021 based on primarily publicly accessible data. First, the database of the Sistema Único de Assistência Social for 2019 was adopted as the primary source of information. In addition, public agencies and managers were consulted and invited to share their databases. Likewise, researchers and private entities also collaborated by making their spreadsheets available. The information collected was placed in individual spreadsheets for each Brazilian state. LTCFs not catering to older adults (aged 60 and over) were excluded. Duplicate data were excluded when overlaps were identified for each new aggregated source. Results & Discussion: This brief communication describes the methodology adopted for mapping the current status of Brazilian LTCFs. Despite its caveats, this study represents an important advance in the identification, characterization, and monitoring of these services nationwide. A total of 5769 facilities were found in the 2019 SUAS census. After excluding facilities not caring for residents aged 60 or over, this total decreased to 2381 LTCFs. Consolidating and filtering the information from multiple data sources led to the identification of 7029 LTCFs for the country as a whole.SciELO PreprintsSciELO PreprintsSciELO Preprints2021-10-07info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/303510.1590/SciELOPreprints.3035enghttps://preprints.scielo.org/index.php/scielo/article/view/3035/5415Copyright (c) 2021 Marisa Accioly Rodrigues da Costa Domingues, Patrick Alexander Wachholz, Christiano Barbosa da Silva, Lidiane Charbel Souza Peres, Paula Ferreira Chacon, Polyana Caroline de Lima Bezerra, Sandra Lohmann, Virgilio Garcia Moreira, Yeda A. O. Duarte, Karla Cristina Giacominhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessDomingues, Marisa Accioly Rodrigues da CostaWachholz, Patrick AlexanderSilva, Christiano Barbosa da Peres, Lidiane Charbel SouzaChacon, Paula FerreiraBezerra, Polyana Caroline de LimaLohmann, SandraMoreira, Virgilio GarciaDuarte, Yeda A. O.Giacomin, Karla Cristinareponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-10-06T19:32:32Zoai:ops.preprints.scielo.org:preprint/3035Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-10-06T19:32:32SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults Descrição Metodológica do Mapeamento das Instituições de Longa-Permanência para Idosos no Brasil |
title |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults |
spellingShingle |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults Domingues, Marisa Accioly Rodrigues da Costa Aged Long-Term Care Brazil Older adults Elderly |
title_short |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults |
title_full |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults |
title_fullStr |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults |
title_full_unstemmed |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults |
title_sort |
Methodological Description of Mapping Brazilian Long-Term Care Facilities for Older Adults |
author |
Domingues, Marisa Accioly Rodrigues da Costa |
author_facet |
Domingues, Marisa Accioly Rodrigues da Costa Wachholz, Patrick Alexander Silva, Christiano Barbosa da Peres, Lidiane Charbel Souza Chacon, Paula Ferreira Bezerra, Polyana Caroline de Lima Lohmann, Sandra Moreira, Virgilio Garcia Duarte, Yeda A. O. Giacomin, Karla Cristina |
author_role |
author |
author2 |
Wachholz, Patrick Alexander Silva, Christiano Barbosa da Peres, Lidiane Charbel Souza Chacon, Paula Ferreira Bezerra, Polyana Caroline de Lima Lohmann, Sandra Moreira, Virgilio Garcia Duarte, Yeda A. O. Giacomin, Karla Cristina |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Domingues, Marisa Accioly Rodrigues da Costa Wachholz, Patrick Alexander Silva, Christiano Barbosa da Peres, Lidiane Charbel Souza Chacon, Paula Ferreira Bezerra, Polyana Caroline de Lima Lohmann, Sandra Moreira, Virgilio Garcia Duarte, Yeda A. O. Giacomin, Karla Cristina |
dc.subject.por.fl_str_mv |
Aged Long-Term Care Brazil Older adults Elderly |
topic |
Aged Long-Term Care Brazil Older adults Elderly |
description |
Aim: describe the methodological approach adopted to build a Brazilian database of LCTFs in the country. Methods: This exploratory research was conducted between August 2020 and 2021 based on primarily publicly accessible data. First, the database of the Sistema Único de Assistência Social for 2019 was adopted as the primary source of information. In addition, public agencies and managers were consulted and invited to share their databases. Likewise, researchers and private entities also collaborated by making their spreadsheets available. The information collected was placed in individual spreadsheets for each Brazilian state. LTCFs not catering to older adults (aged 60 and over) were excluded. Duplicate data were excluded when overlaps were identified for each new aggregated source. Results & Discussion: This brief communication describes the methodology adopted for mapping the current status of Brazilian LTCFs. Despite its caveats, this study represents an important advance in the identification, characterization, and monitoring of these services nationwide. A total of 5769 facilities were found in the 2019 SUAS census. After excluding facilities not caring for residents aged 60 or over, this total decreased to 2381 LTCFs. Consolidating and filtering the information from multiple data sources led to the identification of 7029 LTCFs for the country as a whole. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-10-07 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/3035 10.1590/SciELOPreprints.3035 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/3035 |
identifier_str_mv |
10.1590/SciELOPreprints.3035 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/3035/5415 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
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https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
dc.source.none.fl_str_mv |
reponame:SciELO Preprints instname:SciELO instacron:SCI |
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SciELO |
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SCI |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
repository.name.fl_str_mv |
SciELO Preprints - SciELO |
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scielo.submission@scielo.org |
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1797047825109876736 |