Geographic, demographic, and socioeconomic differences in quality of data on cause of death in Brazilian elders |
| |
Authors: | Kanso Solange Romero Dalia Elena Leite Iúri da Costa Moraes Edgar Nunes de |
| |
Affiliation: | Escola Nacional de Saúde Pública Sergio Arouca, Funda??o Oswaldo Cruz, Rio de Janeiro, Brasil. solange.kanso@gmail.com |
| |
Abstract: | This study identifies geographic, demographic, and socioeconomic differences in the quality of data on underlying causes of death in the Brazilian elderly population. We used three quality indicators: the proportion of ill-defined causes, the proportion of unspecified causes, and the two proportions combined. We analyzed the main ill-defined and unspecified causes and the association between these indicators and individual characteristics on death certificates (DC) and characteristics of the municipalities. Unspecified causes exceed ill-defined causes, and both increase with age. Schooling, race, size of municipality, and per capita GDP were associated with quality of data (especially with ill-defined as compared to unspecified causes). Having received medical care decreased the odds of cause of death being recorded as ill-defined and increased the odds of unspecified records. Programs to improve quality of information on death certificates should focus on ill-defined and unspecified causes in the elderly. |
| |
Keywords: | |
本文献已被 PubMed 等数据库收录! |
|