Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study

Detalhes bibliográficos
Autor(a) principal: Lima,Raquel Barbosa de
Data de Publicação: 2019
Outros Autores: Frederes,Ashley, Marinho,Maria Fatima, Cunha,Carolina Cândida da, Adair,Tim, França,Elisabeth Barboza
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=S1415-790X2019000400402
Resumo: ABSTRACT Introduction: Reliable cause-of-death statistics are an important source of information on trends and differentials in population health. In Brazil, the Mortality Information System is responsible for compiling cause of death (CoD) data. Despite the success in reducing R-codes ill-defined causes of death, other garbage codes (GC), classified as causes that cannot be the underlying CoD, according to the Global Burden of Disease study, remain a challenge. The Ministry of Health (MoH) aims to decrease the proportion of all GCs, and a pilot study tested a comprehensive strategy to investigate GC deaths that occurred in 2015. Methods: The research was conducted in seven Brazilian cities during five months in 2016: two rural cities, one metropolitan area, and four capitals. For all GCs selected, municipal healthcare workers collected information about the terminal disease from hospital records, autopsies, family health teams, and home investigation. The fieldwork was coordinated at Federal level in partnership with State and municipal teams. Results: Out of 1,242 deaths selected, physicians analyzed the information collected and certified the CoD in 1,055 deaths, resulting in 92.6% of cases having their underlying cause changed to a usable ICD-10 code. Discussion: It is noteworthy the capacity the health teams in the seven cities showed during the implementation of the pilot. Conclusion: After results analysis, the GC investigation protocol was modified, and the implementation scaled up to 60 cities in 2017.
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spelling Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot studyCause of deathDeath certificateMortality information systemsVital statisticsABSTRACT Introduction: Reliable cause-of-death statistics are an important source of information on trends and differentials in population health. In Brazil, the Mortality Information System is responsible for compiling cause of death (CoD) data. Despite the success in reducing R-codes ill-defined causes of death, other garbage codes (GC), classified as causes that cannot be the underlying CoD, according to the Global Burden of Disease study, remain a challenge. The Ministry of Health (MoH) aims to decrease the proportion of all GCs, and a pilot study tested a comprehensive strategy to investigate GC deaths that occurred in 2015. Methods: The research was conducted in seven Brazilian cities during five months in 2016: two rural cities, one metropolitan area, and four capitals. For all GCs selected, municipal healthcare workers collected information about the terminal disease from hospital records, autopsies, family health teams, and home investigation. The fieldwork was coordinated at Federal level in partnership with State and municipal teams. Results: Out of 1,242 deaths selected, physicians analyzed the information collected and certified the CoD in 1,055 deaths, resulting in 92.6% of cases having their underlying cause changed to a usable ICD-10 code. Discussion: It is noteworthy the capacity the health teams in the seven cities showed during the implementation of the pilot. Conclusion: After results analysis, the GC investigation protocol was modified, and the implementation scaled up to 60 cities in 2017.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=S1415-790X2019000400402Revista Brasileira de Epidemiologia v.22 suppl.3 2019reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720190004.supl.3info:eu-repo/semantics/openAccessLima,Raquel Barbosa deFrederes,AshleyMarinho,Maria FatimaCunha,Carolina Cândida daAdair,TimFrança,Elisabeth Barbozaeng2019-11-26T00:00:00Zoai:scielo:S1415-790X2019000400402Revistahttp://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 Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
title Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
spellingShingle Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
Lima,Raquel Barbosa de
Cause of death
Death certificate
Mortality information systems
Vital statistics
title_short Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
title_full Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
title_fullStr Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
title_full_unstemmed Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
title_sort Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
author Lima,Raquel Barbosa de
author_facet Lima,Raquel Barbosa de
Frederes,Ashley
Marinho,Maria Fatima
Cunha,Carolina Cândida da
Adair,Tim
França,Elisabeth Barboza
author_role author
author2 Frederes,Ashley
Marinho,Maria Fatima
Cunha,Carolina Cândida da
Adair,Tim
França,Elisabeth Barboza
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Lima,Raquel Barbosa de
Frederes,Ashley
Marinho,Maria Fatima
Cunha,Carolina Cândida da
Adair,Tim
França,Elisabeth Barboza
dc.subject.por.fl_str_mv Cause of death
Death certificate
Mortality information systems
Vital statistics
topic Cause of death
Death certificate
Mortality information systems
Vital statistics
description ABSTRACT Introduction: Reliable cause-of-death statistics are an important source of information on trends and differentials in population health. In Brazil, the Mortality Information System is responsible for compiling cause of death (CoD) data. Despite the success in reducing R-codes ill-defined causes of death, other garbage codes (GC), classified as causes that cannot be the underlying CoD, according to the Global Burden of Disease study, remain a challenge. The Ministry of Health (MoH) aims to decrease the proportion of all GCs, and a pilot study tested a comprehensive strategy to investigate GC deaths that occurred in 2015. Methods: The research was conducted in seven Brazilian cities during five months in 2016: two rural cities, one metropolitan area, and four capitals. For all GCs selected, municipal healthcare workers collected information about the terminal disease from hospital records, autopsies, family health teams, and home investigation. The fieldwork was coordinated at Federal level in partnership with State and municipal teams. Results: Out of 1,242 deaths selected, physicians analyzed the information collected and certified the CoD in 1,055 deaths, resulting in 92.6% of cases having their underlying cause changed to a usable ICD-10 code. Discussion: It is noteworthy the capacity the health teams in the seven cities showed during the implementation of the pilot. Conclusion: After results analysis, the GC investigation protocol was modified, and the implementation scaled up to 60 cities in 2017.
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=S1415-790X2019000400402
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2019000400402
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-549720190004.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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