Evolution of the deaths registry system in Brazil

Associations With Changes in the Mortality Profile, Under-Registration of Death Counts, and Ill-Defined Causes of Death

Datos Bibliográficos

ID5174692
AutoresEverton Emanuel Campos De Lima (0000-0001-6275-9854, Universidade Estadual de Campinas (UNICAMP)), Bernardo L Queiroz (0000-0002-2890-1025, Universidade Federal de Minas Gerais)
Año2014
Volumen30
Número8
Páginas1721-1730
Fecha de publicación2014-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCadernos de Saude Publica (JOURNAL)
Identificadores de la revistaISSN: 0102-311X • E-ISSN: 1678-4464
EditorialFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/0102-311x00131113
PMID25210911
OpenAlexW2095605382
SCIELO_PIDS0102-311X2014000801721
IdiomaEN
Citas recibidas43
Referencias citadas23

This paper examines the spatial pattern of ill-defined causes of death across Brazilian regions, and its relationship with the evolution of completeness of the deaths registry and changes in the mortality age profile. We make use of the Brazilian Health Informatics Department mortality database and population censuses from 1980 to 2010. We applied demographic methods to evaluate the quality of mortality data for 137 small areas and correct for under-registration of death counts when necessary. The second part of the analysis uses linear regression models to investigate the relationship between, on the one hand, changes in death counts coverage and age profile of mortality, and on the other, changes in the reporting of ill-defined causes of death. The completeness of death counts coverage increases from about 80% in 1980-1991 to over 95% in 2000-2010 at the same time the percentage of ill-defined causes of deaths reduced about 53% in the country. The analysis suggests that the government's efforts to improve data quality are proving successful, and they will allow for a better understanding of the dynamics of health and the mortality transition

Cause of death · Disease · Geography · Pathology · Sociology · Demography · Global Maternal and Child Health · Health disparities and outcomes · Maternal and Neonatal Healthcare · Medicine