Sex Trafficking of Minors as a Human Rights Issue

The following commentary serves as a response to the article, “Sex Trafficking of Minors in the U.S.: Implications for Policy, Prevention and Research,” drawing the important, though not often mentioned, connection between the sex trafficking of minors and human rights. The commentary argues that child trafficking has been inadequately addressed due to its relative invisibility, a lack of knowledge about human rights, and a lack of discourse about the human rights issues involved in sexual trafficking. As such, in the current day, the recognition that women and girls who are sexually exploited by traffickers are victims has seemingly been forgotten. The commentator commends the authors of “Sex Trafficking of Minors in the U.S.: Implications for Policy, Prevention and Research” for their work to better understand the characteristics of minor sex trafficking victims, which will play an important role in fighting deadly misperceptions about the victims, educating others about this lethal human rights violation, and finding ways to care for those victims who are rescued.

Effect of nonnormal random components on level and power in group-randomized trials

The use of group-randomized trials is particularly widespread in the evaluation of health care, educational, and screening strategies. Group-randomized trials represent a subset of a larger class of designs often labeled nested, hierarchical, or multilevel and are characterized by the randomization of intact social units or groups, rather than individuals. The application of random effects models to group-randomized trials requires the specification of fixed and random components of the model. The underlying assumption is usually that these random components are normally distributed. This research is intended to determine if the Type I error rate and power are affected when the assumption of normality for the random component representing the group effect is violated. ^ In this study, simulated data are used to examine the Type I error rate, power, bias and mean squared error of the estimates of the fixed effect and the observed intraclass correlation coefficient (ICC) when the random component representing the group effect possess distributions with non-normal characteristics, such as heavy tails or severe skewness. The simulated data are generated with various characteristics (e.g. number of schools per condition, number of students per school, and several within school ICCs) observed in most small, school-based, group-randomized trials. The analysis is carried out using SAS PROC MIXED, Version 6.12, with random effects specified in a random statement and restricted maximum likelihood (REML) estimation specified. The results from the non-normally distributed data are compared to the results obtained from the analysis of data with similar design characteristics but normally distributed random effects. ^ The results suggest that the violation of the normality assumption for the group component by a skewed or heavy-tailed distribution does not appear to influence the estimation of the fixed effect, Type I error, and power. Negative biases were detected when estimating the sample ICC and dramatically increased in magnitude as the true ICC increased. These biases were not as pronounced when the true ICC was within the range observed in most group-randomized trials (i.e. 0.00 to 0.05). The normally distributed group effect also resulted in bias ICC estimates when the true ICC was greater than 0.05. However, this may be a result of higher correlation within the data. ^

An intervention mapping approach: Identification of human trafficking victims by health professionals

Background. Today modern day slavery is known as human trafficking and is a growing pandemic that is a grave human rights violation. Estimates suggest that 12.3 million people are working under conditions of force, fraud or coercion. Working toward eradication is a worthy effort; it would free millions of humans from slavery, mostly women and children, as well as uphold basic human rights. One tactic to eradicating human trafficking is to increase identification of victims among those likely to encounter victims of human trafficking.^ Purpose. This study aims to develop an intervention that improves certain stakeholders' ability, in the health clinic setting, to appropriately identify and report victims of human trafficking to the National Human Trafficking Resource Center.^ Methods. The Intervention Mapping (IM) process was used by program planners to develop an intervention for health professionals. This methodology is a six step process that guides program planners to develop an intervention. Each step builds on the others through the execution of a needs assessment, and the development of matrices based on performance objectives and determinants of the targeted health behavior. The end product results in an ecological, theoretical, and evidence based intervention.^ Discussion. The IM process served as a useful protocol for program planners to take an ecological approach as well as incorporate theory and evidence into the intervention. Consultation with key informants, the planning group, adopters, implementers, and individuals responsible for institutionalization also contributed to the practicality and feasibility of the intervention. Program planners believe that this intervention fully meets recommendations set forth in the literature.^ Conclusions. The intervention mapping methodology enabled program planners to develop an intervention that is appropriate and acceptable to the implementer and the recipients.^