Inadequate utilization of prenatal care in two Brazilian birth cohorts.
Data for two birth cohorts from two Brazilian municipalities, Ribeirão Preto in 1994 and São Luís in 1997/1998, were used to identify and compare factors associated with inadequate utilization of prenatal care and to identify factors capable of explaining the differences observed between the two cities. Prenatal care was defined as adequate or inadequate according to the recommendations of the Brazilian Ministry of Health. The chi-square test and Poisson regression were used to compare differences in the inadequacy of prenatal care utilization. The percentage of inadequacy was higher in São Luís (34.6%) than in Ribeirão Preto (16.9%). Practically the same variables were associated with inadequacy in both cities. Puerperae with lower educational level, without a companion or cohabiting, who delivered in public health units, younger than 20 years, multiparae and smokers, with low family income presented higher percentages of inadequate prenatal care utilization. However, the effects of some variables differed between the two cities. The risk for inadequate use of prenatal care was higher for women attended in the public health sector in São Luís and for cohabiting women in Ribeirão Preto. The effect of the remaining factors studied did not differ between cities. The category of admission accounted for 57.0% of the difference in the inadequate use of prenatal care between cities and marital status accounted for 45.3% of the difference. Even after adjustment for all variables, part of the difference in the inadequacy of prenatal care utilization remained unexplained.
Coimbra
L C
LC
Departamento de Enfermagem, Universidade Federal do Maranhão, São Luís, MA, Brasil. liberata@uol.com.br
Figueiredo
F P
FP
Silva
A A M
AA
Barbieri
M A
MA
Bettiol
H
H
Caldas
A J M
AJ
Mochel
E G
EG
Ribeiro
V S
VS
D000328:Adult; D001938:Brazil; D016009:Chi-Square Distribution; D015331:Cohort Studies; D005260:Female; D006801:Humans; D011247:Pregnancy; D011295:Prenatal Care / Q000706:statistics & numerical data*; D012307:Risk Factors; D012959:Socioeconomic Factors