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

ABSTRACT: Objective: To describe the trend of incompleteness of cancer death records in the Mortality Information System (SIM, in Portuguese) database, state of Mato Grosso, Brazil, 2000 to 2016. Methods: This is a descriptive, ecological, time series study of records of death from cancer of people living in the state of Mato Grosso (codes C00 to C97 of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems – ICD-10), collected from SIM. To asses incompleteness in the filling of the variables of race/skin color, education, marital status, occupation and underlying cause of death, the relative frequency was calculated in the percentage of null values. The time trend analyzes of the incomplete percentage of categories and variables of interest was performed using linear regression (p<0.05). Results: From 2000 to 2016, there were 31,097 deaths from cancer among residents of the state of Mato Grosso. Race/skin color, marital status and occupation presented a stable trend of incompleteness; education and underlying cause of death were decreasing. An increasing trend was observed in the categories ignored (marital status) and retired (occupation); a decreasing trend was observed for blank (education), unidentified and housewife (occupation), and C76-other and ill-defined sites and C80-without specification of site (underlying cause of death). Incompleteness of occupation was classified as very poor, with emphasis on housewife and retired. For the remaining variables and categories, the classification was excellent or good. Conclusions: Although most of the indicators showed satisfactory trend and classification, the marital status and occupation variables stood out for indicating poorer quality in the records.

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Main Authors: Souza,Bárbara da Silva Nalin de, 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
Format: Digital revista
Language:English
Published: Associação Brasileira de Saúde Coletiva 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000200401
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spelling oai:scielo:S1415-790X20220002004012022-06-21Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016Souza,Bárbara da Silva Nalin deLima,Daniel Valentins deCaló,Romero dos SantosOliveira,Jânia Cristiane de SouzaAndrade,Amanda Cristina de SouzaOliveira,Ligia Regina deGalvão,Noemi Dreyer Mortality Cancer Health information systems Temporal distribution ABSTRACT: Objective: To describe the trend of incompleteness of cancer death records in the Mortality Information System (SIM, in Portuguese) database, state of Mato Grosso, Brazil, 2000 to 2016. Methods: This is a descriptive, ecological, time series study of records of death from cancer of people living in the state of Mato Grosso (codes C00 to C97 of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems – ICD-10), collected from SIM. To asses incompleteness in the filling of the variables of race/skin color, education, marital status, occupation and underlying cause of death, the relative frequency was calculated in the percentage of null values. The time trend analyzes of the incomplete percentage of categories and variables of interest was performed using linear regression (p<0.05). Results: From 2000 to 2016, there were 31,097 deaths from cancer among residents of the state of Mato Grosso. Race/skin color, marital status and occupation presented a stable trend of incompleteness; education and underlying cause of death were decreasing. An increasing trend was observed in the categories ignored (marital status) and retired (occupation); a decreasing trend was observed for blank (education), unidentified and housewife (occupation), and C76-other and ill-defined sites and C80-without specification of site (underlying cause of death). Incompleteness of occupation was classified as very poor, with emphasis on housewife and retired. For the remaining variables and categories, the classification was excellent or good. Conclusions: Although most of the indicators showed satisfactory trend and classification, the marital status and occupation variables stood out for indicating poorer quality in the records.info:eu-repo/semantics/openAccessAssociação Brasileira de Saúde ColetivaRevista Brasileira de Epidemiologia v.25 suppl.1 20222022-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000200401en10.1590/1980-549720220003.supl.1
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libraryname SciELO
language English
format Digital
author Souza,Bárbara da Silva Nalin de
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
spellingShingle Souza,Bárbara da Silva Nalin de
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
Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016
author_facet Souza,Bárbara da Silva Nalin de
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
author_sort Souza,Bárbara da Silva Nalin de
title Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016
title_short Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016
title_full Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016
title_fullStr Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016
title_full_unstemmed Trend of incompleteness of cancer death records in the Mortality Information System database, state of Mato Grosso, Brazil, 2000 to 2016
title_sort trend of incompleteness of cancer death records in the mortality information system database, state of mato grosso, brazil, 2000 to 2016
description ABSTRACT: Objective: To describe the trend of incompleteness of cancer death records in the Mortality Information System (SIM, in Portuguese) database, state of Mato Grosso, Brazil, 2000 to 2016. Methods: This is a descriptive, ecological, time series study of records of death from cancer of people living in the state of Mato Grosso (codes C00 to C97 of the 10th revision of the International Statistical Classification of Diseases and Related Health Problems – ICD-10), collected from SIM. To asses incompleteness in the filling of the variables of race/skin color, education, marital status, occupation and underlying cause of death, the relative frequency was calculated in the percentage of null values. The time trend analyzes of the incomplete percentage of categories and variables of interest was performed using linear regression (p<0.05). Results: From 2000 to 2016, there were 31,097 deaths from cancer among residents of the state of Mato Grosso. Race/skin color, marital status and occupation presented a stable trend of incompleteness; education and underlying cause of death were decreasing. An increasing trend was observed in the categories ignored (marital status) and retired (occupation); a decreasing trend was observed for blank (education), unidentified and housewife (occupation), and C76-other and ill-defined sites and C80-without specification of site (underlying cause of death). Incompleteness of occupation was classified as very poor, with emphasis on housewife and retired. For the remaining variables and categories, the classification was excellent or good. Conclusions: Although most of the indicators showed satisfactory trend and classification, the marital status and occupation variables stood out for indicating poorer quality in the records.
publisher Associação Brasileira de Saúde Coletiva
publishDate 2022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000200401
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