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Rev Bras Ginecol Obstet. 2011;33(9):258-263
DOI 10.1590/S0100-72032011000900007
PURPOSE: To evaluate the coverage of Pap smear cytology at Basic Family Health Units (BFHU) and to describe the characteristics of non-performance of this test in the last three years. METHODS: A cross-sectional study was conducted in Rio Grande (RS), Brazil, in areas covered by the Family Health Teams Family (FHT). The interviews were conducted by students participating in the Health-PET, at women’s home. Crude analysis was performed using SPSS software to calculate prevalence ratio, 95% confidence intervals and p value. Multivariate analysis was performed by Poisson regression using Stata 9.0 software, which were included the variables with p value of up to 0.20 in the crude analysis. At the first level, the variables were age, having a partner, and literacy. At the second level, the variables were number of visits and offer of a Pap smear. RESULTS: The prevalence of Pap cytology performed 36 months ago or less was 66.3%. In adjusted analysis, women aged 19 years or less (p<0.001), without a partner (p<0.001), illiterate (p= 0.01), who had never consulted at the basic unit (p=0.02) and who had not been offered the examination during the visit (p=0.006), were more likely not to have had a cytopathology exam in the last 36 months. CONCLUSION: The local health proved to be ineffective and inequitable. Ineffective because it covers fewer women than indicated by the World Health Organization and uneven because access to this test varied according to some characteristics of the users.
Summary
Rev Bras Ginecol Obstet. 2011;33(9):258-263
DOI 10.1590/S0100-72032011000900007
PURPOSE: To evaluate the coverage of Pap smear cytology at Basic Family Health Units (BFHU) and to describe the characteristics of non-performance of this test in the last three years. METHODS: A cross-sectional study was conducted in Rio Grande (RS), Brazil, in areas covered by the Family Health Teams Family (FHT). The interviews were conducted by students participating in the Health-PET, at women’s home. Crude analysis was performed using SPSS software to calculate prevalence ratio, 95% confidence intervals and p value. Multivariate analysis was performed by Poisson regression using Stata 9.0 software, which were included the variables with p value of up to 0.20 in the crude analysis. At the first level, the variables were age, having a partner, and literacy. At the second level, the variables were number of visits and offer of a Pap smear. RESULTS: The prevalence of Pap cytology performed 36 months ago or less was 66.3%. In adjusted analysis, women aged 19 years or less (p<0.001), without a partner (p<0.001), illiterate (p= 0.01), who had never consulted at the basic unit (p=0.02) and who had not been offered the examination during the visit (p=0.006), were more likely not to have had a cytopathology exam in the last 36 months. CONCLUSION: The local health proved to be ineffective and inequitable. Ineffective because it covers fewer women than indicated by the World Health Organization and uneven because access to this test varied according to some characteristics of the users.
Summary
Rev Bras Ginecol Obstet. 2012;34(7):304-309
DOI 10.1590/S0100-72032012000700003
PURPOSE: To evaluate the impact of body mass index (BMI) at the beginning of pregnancy and weight gain on pregnancy outcome so that this measure can be implemented and valued by prenatal care health services. METHOD: Cross-sectional population-based study of all births in the only two hospitals in Rio Grande city (Brazil), in 2007. Among the 2,557 mothers interviewed, it was possible to calculate BMI in only 1,117. The Stata 11 software was used for data analysis. Logist regression was applied to the outomes involving diabetes mellitus, premature labor and cesarean section. Regarding birth weight, data were adjusted by multinomial logistic regression using as base category the group of 2,500 to 4,000 g. The level of significance was set at p-value <0.05 in a two-tailed test. RESULTS: There was no increased risk of hypertension or diabetes in patients in the different groups of BMI and weight gain. The risk of preterm delivery was evident in the group with a weight gain ≤8 kg (p<0.05). Regarding the route of delivery, it was observed that the higher the BMI in early pregnancy (p=0.001) and the greater the weight gain during pregnancy (p=0.004), the greater the risk of surgical delivery, which reached 11% in the group of obese mothers (p=0.004) and 12% in the group with a weight gain ≥17 kg (p=0.001). The weight of the newborns was influenced by BMI and weight gain, and the higher the BMI in early pregnancy and the gestational weight gain, the greater the risk of macrosomia. CONCLUSION: The monitoring of BMI and weight gain during pregnancy is a low cost and useful procedure for the establishment of nutritional interventions aimed at reducing maternal and fetal risks.
Summary
Rev Bras Ginecol Obstet. 2012;34(7):304-309
DOI 10.1590/S0100-72032012000700003
PURPOSE: To evaluate the impact of body mass index (BMI) at the beginning of pregnancy and weight gain on pregnancy outcome so that this measure can be implemented and valued by prenatal care health services. METHOD: Cross-sectional population-based study of all births in the only two hospitals in Rio Grande city (Brazil), in 2007. Among the 2,557 mothers interviewed, it was possible to calculate BMI in only 1,117. The Stata 11 software was used for data analysis. Logist regression was applied to the outomes involving diabetes mellitus, premature labor and cesarean section. Regarding birth weight, data were adjusted by multinomial logistic regression using as base category the group of 2,500 to 4,000 g. The level of significance was set at p-value <0.05 in a two-tailed test. RESULTS: There was no increased risk of hypertension or diabetes in patients in the different groups of BMI and weight gain. The risk of preterm delivery was evident in the group with a weight gain ≤8 kg (p<0.05). Regarding the route of delivery, it was observed that the higher the BMI in early pregnancy (p=0.001) and the greater the weight gain during pregnancy (p=0.004), the greater the risk of surgical delivery, which reached 11% in the group of obese mothers (p=0.004) and 12% in the group with a weight gain ≥17 kg (p=0.001). The weight of the newborns was influenced by BMI and weight gain, and the higher the BMI in early pregnancy and the gestational weight gain, the greater the risk of macrosomia. CONCLUSION: The monitoring of BMI and weight gain during pregnancy is a low cost and useful procedure for the establishment of nutritional interventions aimed at reducing maternal and fetal risks.