Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1785108514354495488 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10513197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT costaelisamiranda thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT magalhaesrodrigueselisasantos thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT desousafrancenildesilva thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT pimentelfelipebezerra thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT sodrelopesmarianaborges thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT vissocijoaoricardonickenig thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT thomazerikabarbaraabreufonseca thebraziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT costaelisamiranda braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT magalhaesrodrigueselisasantos braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT desousafrancenildesilva braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT pimentelfelipebezerra braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT sodrelopesmarianaborges braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT vissocijoaoricardonickenig braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel AT thomazerikabarbaraabreufonseca braziliannationaloralhealthpolicyandoralcancermortalitytrendsanautoregressiveintegratedmovingaveragearimamodel |