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Mônica Rodrigues Campos

Publications and source records attributed to Mônica Rodrigues Campos.

3 recordsLinked to original sources

[Factors associated with perinatal morbidity and mortality in a sample of public and private maternity centers in the City of Rio de Janeiro, 1999-2001].

This study compares socio-demographic factors, mothers' biological characteristics, and quality of care at maternity hospitals in the City of Rio de Janeiro, Brazil. A sample of 10,072 post-partum women in 47 hospitals was selected. Data were collected by interviewing mothers in the immediate post-partum and from medical records. The chi2 test was used to analyze homogeneity of ratios. Significant differences were found between patients in public and private hospitals in relation to family support, healthy habits during pregnancy, reproductive history, access to and satisfaction with prenatal care and delivery, and particularly adverse effects in the newborns. Private maternity hospitals showed better results, although they displayed excessive cesarean and neonatal inter-hospital transfer rates. The stratum consisting of public Federal and State maternity hospitals received women with greater morbidity, had lower neonatal transfer rates, and received a more positive assessment by clients of the Unified National Health System (SUS). Private maternity centers contracted out by the SUS were the ones that most refused treatment to patients, leading to delays in patient care for delivery.

Adolescent↗

[Consistency between data sources and inter-observer reliability in the Study on Neonatal and Perinatal Morbidity and Mortality and Care in the City of Rio de Janeiro].

The objective of this study was to evaluate the quality of data in the research project entitled "Study on Neonatal and Perinatal Morbidity and Mortality and Care in the City of Rio de Janeiro", analyzing the completeness of patient records, inter-observer reliability, and concordance of collected data. The study interviewed a sample of 10,072 post-partum women, corresponding to 10.0% of the deliveries in the City of Rio de Janeiro. This article analyzed the concordance between data on patient records and the reproducibility of questionnaires by mean of rest/ retest, using common and prevalence-adjusted Kappa as well as the intra-class correlation coefficient. Losses totaled 4.5%, and the proportion of unknown data on patient records varied from 3.0 to 90.0%. Lower proportions were concentrated in the neonatal assessment and higher ones in the data on maternal hospital admission. There was a high concordance between the data reported by the mother and that written on the patient record, with the Kappa varying from 0.77 to 0.96. In the test/retest verification, Kappa varied from 0.61 to 0.94. This study demonstrated a high inter-observer reliability as well as reliability between the different data sources (interviewee and patient record).

Brazil↗

[Spatial distribution of Ascaris lumbricoides infection].

OBJECTIVE: To estimate risk areas for Ascaris lumbricoides parasitic overload, using geoprocessing and geostatistic methods of analysis. METHODS: A coproparasitologic and domiciliary survey was conducted in 19 selected census districts of the state of Rio de Janeiro, Brazil. A sample of 1,664 children aged between 1 - 9 years was selected and plotted in their own home' centroid. Geostatistics techniques allowed spatial exploratory analysis, variographic study, and ordinary kriging. Student t-test, odds ratio and confidence intervals were used in the statistical analysis. RESULTS: A prevalence of 27.5% was found for A. lumbricoides. Household income, housewife's education level and peridomiciliary conditions were identified as significantly associated factors to the occurrence of ascariasis. An isotropic spherical semivariogram model with 150-m reach, contribution of 0.45 and nugget effect of 0.55 was employed in ordinary kriging. CONCLUSIONS: Peridomiciliary impact on ascariasis is confirmed by a spatial continuity of 150 m. Disease occurrence could be estimated in the study area and a risk map elaborated using ordinary kriging.

Animals↗