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The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model

OBJECTIVE: This study analyzes the effect of the Brazilian National Oral Health Policy (NOHP) on oral cancer mortality rates (OCMR). METHOD: This is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). An...

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Autores principales: Costa, Elisa Miranda, Magalhães Rodrigues, Elisa Santos, de Sousa, Francenilde Silva, Pimentel, Felipe Bezerra, Sodré Lopes, Mariana Borges, Vissoci, João Ricardo Nickenig, Thomaz, Erika Barbara Abreu Fonseca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513197/
https://www.ncbi.nlm.nih.gov/pubmed/37733703
http://dx.doi.org/10.1371/journal.pone.0291609
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author Costa, Elisa Miranda
Magalhães Rodrigues, Elisa Santos
de Sousa, Francenilde Silva
Pimentel, Felipe Bezerra
Sodré Lopes, Mariana Borges
Vissoci, João Ricardo Nickenig
Thomaz, Erika Barbara Abreu Fonseca
author_facet Costa, Elisa Miranda
Magalhães Rodrigues, Elisa Santos
de Sousa, Francenilde Silva
Pimentel, Felipe Bezerra
Sodré Lopes, Mariana Borges
Vissoci, João Ricardo Nickenig
Thomaz, Erika Barbara Abreu Fonseca
author_sort Costa, Elisa Miranda
collection PubMed
description OBJECTIVE: This study analyzes the effect of the Brazilian National Oral Health Policy (NOHP) on oral cancer mortality rates (OCMR). METHOD: This is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). Annual death data were collected from the Mortality Information System (1996–2019). The outcome was the OCMR, standardized by gender and age We considered the NOHP, categorized as “0” (before its implementation), from 1996 to 2004, and “1 to 15”, from 2005 to 2019. ARIMA modeling was carried out for temporal analysis, and regression coefficient estimation (RC). RESULTS: The Brazilian NOHP implementation was associated with an increase in OCMR in the North region (CR = 0.16; p = 0.022) and with a decrease in the Southeast region (CR = -0.04; p<0.001), but did not affect the other macro-regions nor Brazil. The forecast models estimated an increase in OCMR for the North, and Northeast, a decrease for the Southeast, and stability for the South and Brazil. CONCLUSION: The Brazilian NOHP is not being effective in reducing the OCMR. The trends behaved differently in the Brazilian territory, highlighting health inequities. We recommend that the NOHP strengthen the oral health care network, incorporating oral cancer as a notifiable disease, adopting strategies for prevention, screening, and providing opportunities for early treatment of the disease.
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spelling pubmed-105131972023-09-22 The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model Costa, Elisa Miranda Magalhães Rodrigues, Elisa Santos de Sousa, Francenilde Silva Pimentel, Felipe Bezerra Sodré Lopes, Mariana Borges Vissoci, João Ricardo Nickenig Thomaz, Erika Barbara Abreu Fonseca PLoS One Research Article OBJECTIVE: This study analyzes the effect of the Brazilian National Oral Health Policy (NOHP) on oral cancer mortality rates (OCMR). METHOD: This is an ecological study with secondary oral cancer death data, using interrupted time series analysis (ARIMA, Autoregressive Integrated Moving Average). Annual death data were collected from the Mortality Information System (1996–2019). The outcome was the OCMR, standardized by gender and age We considered the NOHP, categorized as “0” (before its implementation), from 1996 to 2004, and “1 to 15”, from 2005 to 2019. ARIMA modeling was carried out for temporal analysis, and regression coefficient estimation (RC). RESULTS: The Brazilian NOHP implementation was associated with an increase in OCMR in the North region (CR = 0.16; p = 0.022) and with a decrease in the Southeast region (CR = -0.04; p<0.001), but did not affect the other macro-regions nor Brazil. The forecast models estimated an increase in OCMR for the North, and Northeast, a decrease for the Southeast, and stability for the South and Brazil. CONCLUSION: The Brazilian NOHP is not being effective in reducing the OCMR. The trends behaved differently in the Brazilian territory, highlighting health inequities. We recommend that the NOHP strengthen the oral health care network, incorporating oral cancer as a notifiable disease, adopting strategies for prevention, screening, and providing opportunities for early treatment of the disease. Public Library of Science 2023-09-21 /pmc/articles/PMC10513197/ /pubmed/37733703 http://dx.doi.org/10.1371/journal.pone.0291609 Text en © 2023 Costa et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Costa, Elisa Miranda
Magalhães Rodrigues, Elisa Santos
de Sousa, Francenilde Silva
Pimentel, Felipe Bezerra
Sodré Lopes, Mariana Borges
Vissoci, João Ricardo Nickenig
Thomaz, Erika Barbara Abreu Fonseca
The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model
title The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model
title_full The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model
title_fullStr The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model
title_full_unstemmed The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model
title_short The Brazilian National Oral Health Policy and oral cancer mortality trends: An autoregressive integrated moving average (ARIMA) model
title_sort brazilian national oral health policy and oral cancer mortality trends: an autoregressive integrated moving average (arima) model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513197/
https://www.ncbi.nlm.nih.gov/pubmed/37733703
http://dx.doi.org/10.1371/journal.pone.0291609
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