Publications by authors named "Luciana Leite de Mattos Alcantara"
Article Synopsis
- - The study compares cervical cancer screening coverage in Brazil between 2013 (78.7%) and 2019 (81.3%), showing an increase in tests performed among women aged 25-64, with a decrease in those who never underwent screening from 9.7% to 6.1%.
- - Factors influencing screening rates included higher prevalence among white women, those with more education and income, and residents of the South and Southeast regions; common reasons for not participating included the belief the test was unnecessary and not being asked to take it.
- - Despite improved screening rates, significant inequalities in access remain, highlighting the need for organized programs to better reach vulnerable women at risk of cervical cancer.
[Evaluation of cervical cancer control actions within Brazil and its regions based on data recorded in the Brazilian Unified National Health System].
Cad Saude Publica
July 2022
This study analyzes the performance of screening and diagnosis tests for cervical cancer among women aged 25 to 64 years, as well as the delay for the initiation of treatment within Brazil and in its geographic regions, from 2013 to 2020. Information on populational procedures and estimates was obtained from the information systems of the Brazilian Unified National Health System and the Brazilian National Supplementary Health Agency. We calculated the coverage indicators of the Pap smear, the percentages of altered cytopathological and histopathological tests, and the percentage of women diagnosed with cervical cancer with over 60 days of treatment.
View Article and Find Full Text PDFObjective: To investigate the patterns of hospital births in the state of Rio de Janeiro (RJ), Brazil, between 2015 and 2016; considering the classification of obstetric characteristics proposed by Robson and the prenatal care index proposed by Kotelchuck.
Methods: Data obtained from the Information System on Live Births of the Informatics Department of the Brazilian Unified Health System (SINASC/DATASUS, in the Portuguese acronym) databases were used to group pregnant women relatively to the Robson classification. A descriptive analysis was performed for each Robson group, considering the variables: maternal age, marital status, schooling, parity, Kotelchuck prenatal adequacy index and gestational age.