Assessment of Underreporting of Breast Cancer Mortality in Northeastern Brazil Over 40 Years

Authors

  • Juliana Dantas de Araújo Santos Camargo Universidade Federal do Rio Grande do Norte (UFRN), Maternidade Escola Januário Cicco, Empresa Brasileira de Serviços Hospitalares (Ebserh). Natal (RN), Brasil. https://orcid.org/0000-0001-8692-5706
  • Sávio Ferreira Camargo Universidade Federal do Rio Grande do Norte (UFRN), Maternidade Escola Januário Cicco, Empresa Brasileira de Serviços Hospitalares (Ebserh). Natal (RN), Brasil. https://orcid.org/0000-0002-5165-1976
  • Ana Karla Monteiro Santana de Oliveira Freitas Universidade Federal do Rio Grande do Norte (UFRN), Departamento de Tocoginecologia. Natal (RN), Brasil. https://orcid.org/0000-0003-3907-9601
  • Taynãna Cesar Simões Instituto René Rachou (Fiocruz Minas). Belo Horizonte (MG), Brasil. https://orcid.org/0000-0002-5849-343X
  • Flávio Henrique Miranda de Araújo Freire Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-graduação em Demografia (PPGDEM). Natal (RN), Brasil. https://orcid.org/0000-0002-7416-9947
  • Marcos Roberto Gonzaga Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-graduação em Demografia (PPGDEM). Natal (RN), Brasil. https://orcid.org/0000-0002-6088-3453
  • Karina Cardoso Meira Universidade Federal do Rio Grande do Norte (UFRN), Programa de Pós-graduação em Demografia (PPGDEM). Natal (RN), Brasil. Universidade Federal de São Paulo (Unifesp), Escola Paulista de Enfermagem. São Paulo (SP), Brasil. https://orcid.org/0000-0002-1722-5703

DOI:

https://doi.org/10.32635/2176-9745.RBC.2024v70n4.4792

Keywords:

Mortality Registries, Breast Neoplasms/mortality, Underreporting, Data Accuracy

Abstract

Introduction: Health planning and evaluation are compromised by poor-quality mortality data. Objective: To assess the stages of correction for breast cancer death records in the Northeast Region from 1980 to 2019. Method: Ecological study of breast cancer deaths among women aged 20 and over, residing in the States of the Northeast Region between 1980 and 2019. Data from the Mortality Information System of the Department of Informatics of the National Health System (SIM/DATASUS) were used. Corrections were made for unknown age, ill-defined causes, and incomplete cancer diagnoses. Proportional redistribution was carried out according to year, age group, and State. Underreporting was corrected using the extinct generations method. Mortality rates were calculated by age group and standardized using the direct method. Friedman tests and multiple comparisons with Bonferroni correction were used to assess differences in mortality rates across correction stages. Results: The average rate was 11.91/100 thousand women. A 61% increase (19.19/100 thousand) was observed after the correction stages. The greatest increase after corrections was in Maranhão (97%), and the smallest was in Pernambuco (26%). The highest average rates were in Pernambuco (19.99/100 thousand) and Ceará (19.33/100 thousand), while the lowest were in Maranhão (11.99/100 thousand) and Piauí (14.03/100 thousand). Significant differences were found in all localities between uncorrected and corrected breast cancer mortality rates (p < 0.01). Conclusion: After corrections, significant changes in breast cancer mortality rates were observed in all States of the Northeast. The greatest increases occurred in States with the poorest socioeconomic conditions, highlighting the importance of data correction.

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Published

2024-10-23

How to Cite

1.
Camargo JD de AS, Camargo SF, Freitas AKMS de O, Simões TC, Freire FHM de A, Gonzaga MR, Meira KC. Assessment of Underreporting of Breast Cancer Mortality in Northeastern Brazil Over 40 Years. Rev. Bras. Cancerol. [Internet]. 2024 Oct. 23 [cited 2025 Dec. 5];70(4):e-044792. Available from: https://rbc.inca.gov.br/index.php/revista/article/view/4792

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