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Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis
OBJECTIVE. To investigate the impact of combined use of fixed and mobile mammography units to rationalize the management of breast cancer screening programs and increase population coverage. METHODS. An observational study was performed using agents-based modeling. The model was used to simulate bre...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Organización Panamericana de la Salud
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459392/ https://www.ncbi.nlm.nih.gov/pubmed/31093243 http://dx.doi.org/10.26633/RPSP.2019.19 |
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author | da Cunha, Gerson Nunes Vianna, Cid Manso de Mello Mosegui, Gabriela Bittencourt Gonzalez da Silva, Marcus Paulo Rodrigues Jardim, Fernando Nagib |
author_facet | da Cunha, Gerson Nunes Vianna, Cid Manso de Mello Mosegui, Gabriela Bittencourt Gonzalez da Silva, Marcus Paulo Rodrigues Jardim, Fernando Nagib |
author_sort | da Cunha, Gerson Nunes |
collection | PubMed |
description | OBJECTIVE. To investigate the impact of combined use of fixed and mobile mammography units to rationalize the management of breast cancer screening programs and increase population coverage. METHODS. An observational study was performed using agents-based modeling. The model was used to simulate breast cancer screening coverage in a specific region in the state of Rio de Janeiro (região serrana) where 22 fixed mammography units are installed. The number and distribution of fixed and mobile units, as well as the required number of daily exams, were estimated considering a population coverage of 100% and 60% in the region for the 2015-2016 biennium. RESULTS. For the two-year period, a 60% population coverage could be reached with eight mammography units (five fixed and three mobile). Considering a scenario in which 100% of the eligible population would undergo screening, 11 units would be required (seven fixed and four mobile units). The actual coverage in the region for the 2015-2016 biennium was 36.4%, with 22 mammography units performing four exams daily. CONCLUSIONS. The present simulation showed that it would be possible to reduce by half the number of mammography units in the region, ensuring 100% coverage. Adding more mobile units would facilitate access by the population from cities without installed mammography units and from rural areas. |
format | Online Article Text |
id | pubmed-6459392 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Organización Panamericana de la Salud |
record_format | MEDLINE/PubMed |
spelling | pubmed-64593922019-05-15 Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis da Cunha, Gerson Nunes Vianna, Cid Manso de Mello Mosegui, Gabriela Bittencourt Gonzalez da Silva, Marcus Paulo Rodrigues Jardim, Fernando Nagib Rev Panam Salud Publica Artigo Original OBJECTIVE. To investigate the impact of combined use of fixed and mobile mammography units to rationalize the management of breast cancer screening programs and increase population coverage. METHODS. An observational study was performed using agents-based modeling. The model was used to simulate breast cancer screening coverage in a specific region in the state of Rio de Janeiro (região serrana) where 22 fixed mammography units are installed. The number and distribution of fixed and mobile units, as well as the required number of daily exams, were estimated considering a population coverage of 100% and 60% in the region for the 2015-2016 biennium. RESULTS. For the two-year period, a 60% population coverage could be reached with eight mammography units (five fixed and three mobile). Considering a scenario in which 100% of the eligible population would undergo screening, 11 units would be required (seven fixed and four mobile units). The actual coverage in the region for the 2015-2016 biennium was 36.4%, with 22 mammography units performing four exams daily. CONCLUSIONS. The present simulation showed that it would be possible to reduce by half the number of mammography units in the region, ensuring 100% coverage. Adding more mobile units would facilitate access by the population from cities without installed mammography units and from rural areas. Organización Panamericana de la Salud 2019-02-06 /pmc/articles/PMC6459392/ /pubmed/31093243 http://dx.doi.org/10.26633/RPSP.2019.19 Text en https://creativecommons.org/licenses/by/4.0/ Este é um artigo de acesso aberto distribuído sob os termos da Licença Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO, que permite o uso, distribuição e reprodução em qualquer meio, desde que o trabalho original seja devidamente citado. Não são permitidas modificações ou uso comercial dos artigos. Em qualquer reprodução do artigo, não deve haver nenhuma sugestão de que a OPAS ou o artigo avaliem qualquer organização ou produtos específicos. Não é permitido o uso do logotipo da OPAS. Este aviso deve ser preservado juntamente com o URL original do artigo. |
spellingShingle | Artigo Original da Cunha, Gerson Nunes Vianna, Cid Manso de Mello Mosegui, Gabriela Bittencourt Gonzalez da Silva, Marcus Paulo Rodrigues Jardim, Fernando Nagib Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
title | Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
title_full | Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
title_fullStr | Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
title_full_unstemmed | Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
title_short | Rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
title_sort | rastreamento do câncer de mama: modelo de melhoria do acesso pelo uso de mamógrafos móveis |
topic | Artigo Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6459392/ https://www.ncbi.nlm.nih.gov/pubmed/31093243 http://dx.doi.org/10.26633/RPSP.2019.19 |
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