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.
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