[Quality of data on early neonatal deaths].
OBJECTIVE
To investigate the quality of official neonatal death data in Maceió, Alagoas.


METHODS
A descriptive study was conducted on early neonatal deaths in hospitals between January 1, 2001, and December 31, 2002, to compare data entry in the Death Certificate (DC) and Mortality Information System (MIS) with a standardized form filled out with data of medical files from the mothers and newborn. The frequency with which the following variables failed to be recorded in the DC and SIM was studied: type of death, address, age of mother, gender, birth weight, and delivery type, age at death and gestational age. MIS reliability was verified using simple concordance, sensitivity and Kappa indicator.


RESULTS
MIS recorded 451 deaths, of which 50 were excluded. Mother's age was omitted from MIS in 44.1% of cases. 85.7% to 100% of the variables not filled in for the DC were recovered from the medical files. There was good concordance between DC and medical files for type of delivery, weight and age. Birth weight and age of mother presented the least concordance between medical files and MIS. MIS presented 69.2% sensitivity for weight and 36.3% for age of mother, thus demonstrating little capability to correctly supply information to generate perinatal health indicators.


CONCLUSIONS
Because of incomplete filling out, quality of the DC becomes precarious and makes the MIS inadequate, even though it covers 100% of neonatal deaths in Maceió. Inefficiency of the system is increased by failure of MIS technicians to correct errors found and input all the information available.
Pedrosa
Linda Délia Carvalho de Oliveira
LD
Centro de Ciências da Saúde da Universidade Federal de Pernambuco. lindapedrosa@uol.com.br
Sarinho
Silvia Wanick
SW
Ximenes
Ricardo Arraes de Alencar
RA
Ordonha
Manoelina R
MR
D017677:Age Distribution; D001724:Birth Weight; D001938:Brazil / Q000453:epidemiology; D003644:Death Certificates; D005568:Forms and Records Control; D006801:Humans; D007226:Infant Mortality; D007231:Infant, Newborn; D007256:Information Systems / Q000592:standards* / Q000706:statistics & numerical data; D008423:Maternal Age; D008499:Medical Records / Q000592:standards* / Q000706:statistics & numerical data; D017678:Sex Distribution