| Revista: | Revista de saude publica |
| Base de datos: | |
| Número de sistema: | 000535879 |
| ISSN: | 0034-8910 |
| Autores: | Bigoni, Alessandro1 Cunha, Amanda Ramos da3 Antunes, José Leopoldo Ferreira1 |
| Instituciones: | 1Universidade de São Paulo, Faculdade de Saúde Pública, São Paulo, São Paulo. Brasil 2Harvard T.H. Chan School of Public Health, Boston, MA. United States of America 3Universidade Federal do Rio Grande do Sul, Faculdade de Odontologia, Porto Alegre, Rio Grande do Sul. Brasil |
| Año: | 2021 |
| Volumen: | 55 |
| País: | Brasil |
| Idioma: | Inglés |
| Resumen en inglés | OBJECTIVE to discuss the impact four different redistribution strategies have on the quantitative and temporal trends of cancer mortality assessment in Brazil. METHODOLOGY This study used anonymized and georeferenced data provided by the Brazilian Ministry of Health (BMoH). Four different approaches were used to conduct the redistribution of ill-defined deaths and garbage codes. Age-standardized mortality rates used the world population as reference. Prais-Winsten autoregression allowed the calculation of region, sex, and cancer type trends. RESULTS Death rates increased considerably in all regions after redistribution. Overall, Elisabeth B. França’s and the World Health Organization methods had a milder impact on trends and rate magnitudes when compared to the Global Burden of Disease (GBD) 2010 method. This study also observed that, when the BMoH dealt with the problem of redistributing ill-defined deaths, results were similar to those obtained by the GBD method. The redistribution methods also influenced the assessment of trends; however, differences were less pronounced. CONCLUSIONS Since developing a comparative gold standard is impossible, matching global techniques to local realities may be an alternative for methodological selection. In our study, the compatibility of the findings suggests how valid the GBD method is to the Brazilian context. However, caution is needed. Future studies should assess the impact of these methods as applied to the redistribution of deaths to type-specific neoplasms. |
| Keyword: | Neoplasms, mortality, Data Accuracy, Vital Statistics, Cause of Death |
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