Investigation of garbage code deaths to improve the quality of cause-of-death in Brazil: results from a pilot study
| Autor: | Raquel Barbosa de Lima, Ashley Frederes, Maria Fatima Marinho, Carolina Cândida da Cunha, Tim Adair, Elisabeth Barboza França |
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| Jazyk: | English<br />Portuguese |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | Revista Brasileira de Epidemiologia, Vol 22, Iss suppl 3 (2019) |
| Druh dokumentu: | article |
| ISSN: | 1980-5497 59003081 |
| DOI: | 10.1590/1980-549720190004.supl.3 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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