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

Detalhes bibliográficos
Autor(a) principal: França,Elisabeth Barboza
Data de Publicação: 2019
Outros Autores: Ishitani,Lenice Harumi, Teixeira,Renato Azeredo, Cunha,Carolina Cândida da, Marinho,Maria Fatima
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400408
Resumo: 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.
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spelling Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in BrazilInformation systemsVital statisticsMortalityCause of deathUnder registrationABSTRACT 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.Associação Brasileira de Saúde Coletiva2019-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400408Revista Brasileira de Epidemiologia v.22 suppl.3 2019reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720190010.supl.3info:eu-repo/semantics/openAccessFrança,Elisabeth BarbozaIshitani,Lenice HarumiTeixeira,Renato AzeredoCunha,Carolina Cândida daMarinho,Maria Fatimaeng2019-11-26T00:00:00Zoai:scielo:S1415-790X2019000400408Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2019-11-26T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
title Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
spellingShingle Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
França,Elisabeth Barboza
Information systems
Vital statistics
Mortality
Cause of death
Under registration
title_short Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
title_full Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
title_fullStr Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
title_full_unstemmed Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
title_sort Improving the usefulness of mortality data: reclassification of ill-defined causes based on medical records and home interviews in Brazil
author França,Elisabeth Barboza
author_facet França,Elisabeth Barboza
Ishitani,Lenice Harumi
Teixeira,Renato Azeredo
Cunha,Carolina Cândida da
Marinho,Maria Fatima
author_role author
author2 Ishitani,Lenice Harumi
Teixeira,Renato Azeredo
Cunha,Carolina Cândida da
Marinho,Maria Fatima
author2_role author
author
author
author
dc.contributor.author.fl_str_mv França,Elisabeth Barboza
Ishitani,Lenice Harumi
Teixeira,Renato Azeredo
Cunha,Carolina Cândida da
Marinho,Maria Fatima
dc.subject.por.fl_str_mv Information systems
Vital statistics
Mortality
Cause of death
Under registration
topic Information systems
Vital statistics
Mortality
Cause of death
Under registration
description 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.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400408
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400408
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-549720190010.supl.3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.22 suppl.3 2019
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
institution ABRASCO
reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||revbrepi@usp.br
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