Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil

ABSTRACT Introduction: Brazil presented a high proportion of ill-defined causes of death (IDCD) in 2000, compromising accurate cause-of-death analysis. Objective: To analyze specific underlying causes for deaths originally assigned as IDCD in the Mortality Information System (SIM - Sistema de Inform...

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Main Authors: Elisabeth Barboza França (Author), Lenice Harumi Ishitani (Author), Renato Azeredo Teixeira (Author), Carolina Cândida da Cunha (Author), Maria Fatima Marinho (Author)
Format: Book
Published: Associação Brasileira de Pós-Graduação em Saúde Coletiva, 2019-11-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Elisabeth Barboza França  |e author 
700 1 0 |a Lenice Harumi Ishitani  |e author 
700 1 0 |a Renato Azeredo Teixeira  |e author 
700 1 0 |a Carolina Cândida da Cunha  |e author 
700 1 0 |a Maria Fatima Marinho  |e author 
245 0 0 |a Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil 
260 |b Associação Brasileira de Pós-Graduação em Saúde Coletiva,   |c 2019-11-01T00:00:00Z. 
500 |a 1980-5497 
500 |a 10.1590/1980-549720190010.supl.3 
520 |a ABSTRACT Introduction: Brazil presented a high proportion of ill-defined causes of death (IDCD) in 2000, compromising accurate cause-of-death analysis. Objective: To analyze specific underlying causes for deaths originally assigned as IDCD in the Mortality Information System (SIM - Sistema de Informação sobre Mortalidade), after investigation activities implemented in country between 2006 and 2017. Method: For all IDCD identified in the SIM, municipal health professionals collected information about the final disease obtained from hospital records, autopsies, forms of family health teams, and home investigation. Specific causes among reclassified IDCD after investigation were evaluated according to age groups and four calendar periods. Results: Proportions of IDCD reassigned to other causes after review increased over time, reaching 30.1% in 2017. From a total of 257,367 IDCD reclassified in 2006-2017, neonatal-related conditions, injury, ischemic heart disease and stroke were the leading causes detected in the age groups 0-9 years, 10-29 years, 30-69 years, 70 years and over, respectively. Discussion: The similarity and plausibility of cause-specific proportions derived from the reclassification of IDCD by age group over time indicate the accuracy of the investigation data. Conclusion: High proportions of IDCD reassigned to more informative causes after review indicate the success of this approach to correct misclassification in the SIM, an initiative that should be maintained. Training physicians on death certification along with better quality of medical care and access to health services would lead to further improvement. 
546 |a EN 
546 |a PT 
690 |a Information systems 
690 |a Vital statistics 
690 |a Mortality 
690 |a Cause of death 
690 |a Under registration 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Revista Brasileira de Epidemiologia, Vol 22, Iss suppl 3 (2019) 
787 0 |n http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400408&tlng=en 
787 0 |n http://www.scielo.br/pdf/rbepid/v22s3/1980-5497-rbepid-22-s3-e190010.pdf 
787 0 |n https://doaj.org/toc/1980-5497 
856 4 1 |u https://doaj.org/article/a3c27cf764c943ab8d7189de5cb98e6a  |z Connect to this object online.