Improving the quality of external cause of death data in Brazil: evaluation and validation of a new form to investigate garbage codes.
Cad Saude Publica
; 39(3): e00097222, 2023.
Article
em En
| MEDLINE
| ID: mdl-37018771
ABSTRACT
Garbage codes, such as external causes with no specific information, indicate poor quality cause of death data. Investigation of garbage codes via an effective instrument is necessary to convert them into useful data for public health. This study analyzed the performance and suitability of the new investigation of deaths from external causes (IDEC) form to improve the quality of external cause of death data in Brazil. The performance of the IDEC form on 133 external garbage codes deaths was compared with a stratified matched sample of 992 (16%) investigated deaths that used the standard garbage codes form. Consistency between these two groups was checked. The percentage of garbage codes from external causes reclassified into valid causes with a 95% confidence interval (95%CI) was analyzed. Reclassification for specific causes has been described. Qualitative data on the feasibility of the form were recorded by field investigators. Investigation using the new form reduced all external garbage codes by -92.5% (95%CI -97.0; -88.0), whereas the existing form decreased garbage codes by -60.5% (95%CI -63.5; -57.4). The IDEC form presented higher effectivity for external-cause garbage codes of determined intent. Deaths that remained garbage codes mainly lacked information about the circumstances of poisoning and/or vehicle accidents. Despite the fact that field investigators considered the IDEC form feasible, they suggested modifications for further improvement. The new form was more effective than the current standard form in improving the quality of defined external causes.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Sistemas de Informação
/
Atestado de Óbito
Tipo de estudo:
Qualitative_research
Limite:
Humans
País/Região como assunto:
America do sul
/
Brasil
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article