Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
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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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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1754212955943075840 |