Trend of incompleteness of death records from cancer in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016

• Autor(a) principal: Souza, Bárbara da Silva Nalin de
• Data de Publicação: 2022
• Outros Autores: Lima, Daniel Valentins de, Caló, Romero dos Santos, Oliveira, Jânia Cristiane de Souza, Andrade, Amanda Cristina de Souza, Oliveira, Ligia Regina de, Galvão, Noemi Dreyer
• Tipo de documento: preprint
• Idioma: por
• Título da fonte: SciELO Preprints
• Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/4008
• topic: Mortalidade; Câncer; Qualidade da informação; Sistemas de Informação em Saúde; Distribuição temporal; Mortality; Cancer; Health Information Systems; Temporal distribution

Objective: To describe a trend of incompleteness of death records from cancer in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016. Methods: This is a descriptive, ecological, time series study of deaths records from cancer of residents from state of Mato Grosso (codes C00 to C97 of the CID-10), Brazilian Mortality Information System. For an incomplete evaluation of filling in variations of race/skin color, education, marital status, occupation and basic cause of death, the relative frequency was calculated in the percentage of null values. Time trend analyzes of the incomplete percentage of categories and variables of interest were performed using linear regression (p-value<0.05). Results: From 2000 to 2016, there were 31,097 deaths from cancer in residents from the state of Mato Grosso. Race/skincolor, marital status and occupation presented stable trend of incompleteness; education and basic cause of death were decreasing. An increasing trend was observed in the categories 'ignored' (marital status) and 'retired' (occupation); decreasing trend was observed for 'blank' (education), 'unidentified' and 'housewife' (occupation), and C76-another location and poor visualization and C80-without location examination (basic cause of death). Incompleteness of occupation was classified as very poor, with emphasis on 'housewife' and 'retired'. For variables and categories, a classification was excellent or good. Conclusions: Although most of the indicators showed satisfactory trend and classification, marital status and occupation variables stood out for indicating poorer quality in the records.