Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020

Detalhes bibliográficos
Autor(a) principal: Nogueira, Mário Círio
Data de Publicação: 2023
Outros Autores: Atty, Adriana Tavares de Moraes, Tomazelli, Jeane, Jardim, Beatriz Cordeiro, Teresa, Maria, Silva, Gulnar Azevedo e
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/5376
Resumo: Objective: To analyze the delay in treatment and the flow of care for women with breast cancer in Brazil in 2019 and 2020. Method: Follow-up study of breast cancer cases available in the Oncology Panel. To analyze the explanatory variables associated with the delay (greater than 60 days) to start treatment, a chi-square test and multilevel logistic regression were performed. Results: 22,956 cases (54.5%) were identified in 2019 and 17,722 (48.7%) in 2020 with delay in treatment. The Southeast region (54.6%) had a higher proportion of delay, which was higher when carried out outside the municipality of residence and lower in 2020 compared to 2019. residence. Conclusion: Strategies that reduce the time interval until the beginning of cancer treatment and optimize health care networks in the states should be prioritized.
id SCI-1_c8cc63566dfdcc4c3147452df4d9127f
oai_identifier_str oai:ops.preprints.scielo.org:preprint/5376
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020Frecuencia y factores asociados al retraso en el tratamiento del cáncer de mama en Brasil según datos del Panel de Oncología, 2019 y 2020Frequência e fatores associados ao atraso para o tratamento do câncer de mama no Brasil segundo dados do PAINEL-Oncologia, 2019-2020Tempo para o TratamentoNeoplasias da MamaSistema Único de SaúdeAcesso aos Serviços de SaúdeSistemas de Informação em SaúdeTime-to-TreatmentBreast NeoplasmsUnified Health SystemHealth Services AccessibilityHealth Information SystemsTiempo de TratamientoNeoplasias de la MamaSistema Único de SaludAccesibilidad a los Servicios de SaludSistemas de Información en SaludObjective: To analyze the delay in treatment and the flow of care for women with breast cancer in Brazil in 2019 and 2020. Method: Follow-up study of breast cancer cases available in the Oncology Panel. To analyze the explanatory variables associated with the delay (greater than 60 days) to start treatment, a chi-square test and multilevel logistic regression were performed. Results: 22,956 cases (54.5%) were identified in 2019 and 17,722 (48.7%) in 2020 with delay in treatment. The Southeast region (54.6%) had a higher proportion of delay, which was higher when carried out outside the municipality of residence and lower in 2020 compared to 2019. residence. Conclusion: Strategies that reduce the time interval until the beginning of cancer treatment and optimize health care networks in the states should be prioritized. Objetivo: Analizar la demora en el tratamiento y el flujo de atención de mujeres con cáncer de mama en Brasil en 2019 y 2020. Método: Estudio de seguimiento de los casos de cáncer de mama disponibles en el Panel de Oncología. Para analizar las variables explicativas asociadas al retraso (mayor de 60 días) en el inicio del tratamiento se realizó la prueba de chi-cuadrado y regresión logística multinivel. Resultados: se identificaron 22.956 casos (54,5%) en 2019 y 17.722 (48,7%) en 2020 con retraso en el tratamiento. La región Sudeste (54,6%) tuvo mayor proporción de atraso, siendo mayor cuando se realiza fuera del municipio de residencia y menor en 2020 en relación a 2019. de residencia. Conclusión: Se deben priorizar estrategias que reduzcan el intervalo de tiempo hasta el inicio del tratamiento del cáncer y optimicen las redes de atención de salud en los estados.Objetivo: analisar o atraso para o tratamento e o fluxo assistencial de mulheres com câncer de mama no Brasil em 2019 e 2020. Métodos: estudo de seguimento de casos de câncer de mama disponibilizados no PAINEL-Oncologia; para analisar as variáveis explicativas associadas ao atraso (maior que 60 dias) no início do tratamento, realizou-se teste qui-quadrado e regressão logística multinível. Resultados: identificaram-se 22.956 casos (54,5%) em 2019 e 17.722 (48,7%) em 2020, com atraso para o tratamento; a região Sudeste (54,6%) teve maior proporção de atraso, que foi maior quando o tratamento foi realizado fora do município de residência, e menor em 2020, comparando-se a 2019; os fluxos externos, em sua maioria, ocorreram para as capitas das mesmas Unidades da Federação (UFs) de residência. Conclusão: estratégias que diminuam o intervalo de tempo até o início do tratamento oncológico e otimizem as redes de atenção em saúde nas UFs devem ser priorizadas.SciELO PreprintsSciELO PreprintsSciELO Preprints2023-01-04info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/537610.1590/s2237-96222023000100004porhttps://preprints.scielo.org/index.php/scielo/article/view/5376/10386Copyright (c) 2023 Mário Círio Nogueira, Adriana Tavares de Moraes Atty, Jeane Tomazelli, Beatriz Cordeiro Jardim, Maria Teresa, Gulnar Azevedo e Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNogueira, Mário CírioAtty, Adriana Tavares de MoraesTomazelli, JeaneJardim, Beatriz CordeiroTeresa, MariaSilva, Gulnar Azevedo ereponame:SciELO Preprintsinstname:SciELOinstacron:SCI2023-01-04T12:59:19Zoai:ops.preprints.scielo.org:preprint/5376Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2023-01-04T12:59:19SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
Frecuencia y factores asociados al retraso en el tratamiento del cáncer de mama en Brasil según datos del Panel de Oncología, 2019 y 2020
Frequência e fatores associados ao atraso para o tratamento do câncer de mama no Brasil segundo dados do PAINEL-Oncologia, 2019-2020
title Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
spellingShingle Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
Nogueira, Mário Círio
Tempo para o Tratamento
Neoplasias da Mama
Sistema Único de Saúde
Acesso aos Serviços de Saúde
Sistemas de Informação em Saúde
Time-to-Treatment
Breast Neoplasms
Unified Health System
Health Services Accessibility
Health Information Systems
Tiempo de Tratamiento
Neoplasias de la Mama
Sistema Único de Salud
Accesibilidad a los Servicios de Salud
Sistemas de Información en Salud
title_short Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
title_full Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
title_fullStr Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
title_full_unstemmed Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
title_sort Frequency and factors associated with delay in breast cancer treatment in Brazil according to data from the Oncology Panel, 2019 and 2020
author Nogueira, Mário Círio
author_facet Nogueira, Mário Círio
Atty, Adriana Tavares de Moraes
Tomazelli, Jeane
Jardim, Beatriz Cordeiro
Teresa, Maria
Silva, Gulnar Azevedo e
author_role author
author2 Atty, Adriana Tavares de Moraes
Tomazelli, Jeane
Jardim, Beatriz Cordeiro
Teresa, Maria
Silva, Gulnar Azevedo e
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Nogueira, Mário Círio
Atty, Adriana Tavares de Moraes
Tomazelli, Jeane
Jardim, Beatriz Cordeiro
Teresa, Maria
Silva, Gulnar Azevedo e
dc.subject.por.fl_str_mv Tempo para o Tratamento
Neoplasias da Mama
Sistema Único de Saúde
Acesso aos Serviços de Saúde
Sistemas de Informação em Saúde
Time-to-Treatment
Breast Neoplasms
Unified Health System
Health Services Accessibility
Health Information Systems
Tiempo de Tratamiento
Neoplasias de la Mama
Sistema Único de Salud
Accesibilidad a los Servicios de Salud
Sistemas de Información en Salud
topic Tempo para o Tratamento
Neoplasias da Mama
Sistema Único de Saúde
Acesso aos Serviços de Saúde
Sistemas de Informação em Saúde
Time-to-Treatment
Breast Neoplasms
Unified Health System
Health Services Accessibility
Health Information Systems
Tiempo de Tratamiento
Neoplasias de la Mama
Sistema Único de Salud
Accesibilidad a los Servicios de Salud
Sistemas de Información en Salud
description Objective: To analyze the delay in treatment and the flow of care for women with breast cancer in Brazil in 2019 and 2020. Method: Follow-up study of breast cancer cases available in the Oncology Panel. To analyze the explanatory variables associated with the delay (greater than 60 days) to start treatment, a chi-square test and multilevel logistic regression were performed. Results: 22,956 cases (54.5%) were identified in 2019 and 17,722 (48.7%) in 2020 with delay in treatment. The Southeast region (54.6%) had a higher proportion of delay, which was higher when carried out outside the municipality of residence and lower in 2020 compared to 2019. residence. Conclusion: Strategies that reduce the time interval until the beginning of cancer treatment and optimize health care networks in the states should be prioritized.
publishDate 2023
dc.date.none.fl_str_mv 2023-01-04
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/5376
10.1590/s2237-96222023000100004
url https://preprints.scielo.org/index.php/scielo/preprint/view/5376
identifier_str_mv 10.1590/s2237-96222023000100004
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/5376/10386
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv 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
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047831040622592