17 resultados para missing data imputation
Commercial Sexual Exploitation and Missing Children in the Coastal Region of Sao Paulo State, Brazil
Resumo:
The commercial sexual exploitation of children (CSEC) has emerged as one of the world’s most heinous crimes. The problem affects millions of children worldwide and no country or community is fully immune from its effects. This paper reports first generation research of the relationship that exists between CSEC and the phenomenon of missing children living in and around the coastal regions of the state of Sao Paulo, Brazil, the country’s richest State. Data are reported from interviews and case records of 64 children and adolescents, who were receiving care through a major youth serving non-governmental organization (NGO) located in the coastal city of Sao Vicente. Also, data about missing children and adolescents were collected from Police Reports – a total of 858 Police Reports. In Brazil, prostitution is not a crime itself, however, the exploitation of prostitution is a crime. Therefore, the police have no information about children or adolescents in this situation, they only have information about the clients and exploiters. Thus, this investigation sought to accomplish two objectives: 1) to establish the relationship between missing and sexual exploited children; and 2) to sensitize police and child-serving authorities in both the governmental and nongovernmental sectors to the nature, extent, and seriousness of many unrecognized cases of CSEC and missing children that come to their attention. The observed results indicated that the missing children police report are significantly underestimated. They do not represent the number of children that run away and/or are involved in commercial sexual exploitation.
Resumo:
Objective: The purpose of this study is to compare the stages of breast cancer presented between the insured and uninsured patients diagnosed at The Rose, an active non-profit breast healthcare organization to determine if uninsured patients present with more advanced stage breast cancer as compared to their insured counterparts. ^ Study Design: Retrospective cross-sectional study. ^ Methods: The study included 1,265 patients who received breast healthcare services and were diagnosed with breast cancer at The Rose between FY 2007 and FY 2012. 738 of the patients in the study were presumably uninsured since their breast healthcare services were sponsored through various funding sources and they were navigated into treatment through The Rose patient navigation program. We compared breast cancer stages for women who had insurance with those who did not have insurance. The effects of age and race/ethnicity along with the insurance status on the stage of reast cancer diagnosis were also analyzed. We calculated the odds ratio using the contingency tables; and estimated odds ratios (ORs) and 95% confidence intervals (CIs) using ordinal logistic regression by applying multiple imputation method for missing tumor stage data. ^ Results: The ordered logistic regression analysis with ordered tumor stage as dependent variable and uninsured as independent variable gave us an odds ratio of 1.73 (OR=1.73; p-value<0.05; 95% CI: 1.36 - 2.12). ^ Conclusions: Insurance status is a strong predictor of stage of breast cancer diagnosed among women seen at The Rose. Uninsured women seen at The Rose are almost twice as likely to present at a advanced stage of breast cancer as opposed to their insured counterparts.^