SciELO - Scientific Electronic Library Online

 
vol.41 número1Reliability of cause of death due to violence from information systems in Belo Horizonte, Southern BrazilSpatial analysis of neonatal mortality in Paraíba Valley, Southeastern Brazil, 1999 to 2001 índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Revista de Saúde Pública

versión impresa ISSN 0034-8910

Resumen

CAVALINI, Luciana Tricai  y  PONCE DE LEON, Antonio Carlos Monteiro. Correction approach for underreporting of deaths and hospital admissions due to ill-defined causes. Rev. Saúde Pública [online]. 2007, vol.41, n.1, pp. 85-93. ISSN 0034-8910.  http://dx.doi.org/10.1590/S0034-89102007000100012.

OBJECTIVE: To propose a correction approach for underreporting and relocation of ill-defined causes of morbidity and mortality in the National Health System Mortality and Hospital Information Systems. METHODS: Modified James-Stein empirical Bayes estimators for events in delimited geographic areas were applied as a correction approach for underreporting in Brazilian municipalities in 2001. RESULTS: There was an increase of 55,671 deaths in the Mortality Information System, an underreporting correction of 5.85%. It was more effective at the age groups under five (8.1%) and 70 years old and more (6.4%); for neonatal (8.7%) and ill-defined (8.0%) causes of death; and in the states of Maranhão (10.6%), Bahia (9.5%) and Alagoas (8.8%). Relocation of ill-defined causes of mortality changed the structure of proportional mortality in the Northern and Northeastern regions, and increased the proportion of deaths due to cardiovascular diseases and reduced those due to external and neonatal causes. Relocation of ill-defined causes of hospital admissions did not affect hospital proportional morbidity. CONCLUSIONS: The results of underreporting correction were consistent with previous studies, in terms of age groups, causes and geographic areas. Relocation of ill-defined causes of death was spatially consistent. The approach studied may be applicable on Brazilian Health Information since it can be implemented in computational algorithms. Some improvements, however, may be considered, like estimation approaches based on time-space event distribution.

Palabras llave : Mortality; Morbidity; Underregistration; Cause of death; Information systems; National Health System (BR).

        · resumen en Portugués     · texto en Portugués | Inglés     · pdf en Inglés | Portugués