Suchergebnisse

In recent decades, several states have enacted their own immigration enforcement policies. This reflects substantial variation in the social environments faced by immigrants and native-born citizens, and has raised concerns about unintended consequences. E-Verify mandates, which require employers to use an electronic system to ascertain legal status as a pre-requisite for employment, are a common example of this trend. Drawing on birth certificate data from 2007-2014, during which 21 states enacted E-Verify mandates, we find that these mandates are associated with a decline in birthweight and gestational age for infants born to immigrant mothers with demographic profiles matching the undocumented population in their state as well as for infants of native-born mothers. In observing negative trends for both immigrants and natives, our findings do not support the hypothesis that E-Verify has a distinct impact on immigrant health; however, the broader economic, political, and demographic contexts that coincide with these policies, which likely impact the broader community of both immigrants and natives, may pose risks to infant health.

The goal of this study is to better understand the characteristics of men who act as primary caregivers of maltreated children. We examined differences between male primary caregivers (fathers) for youth involved in the child welfare system and female primary caregivers (mothers). We conducted secondary data analyses of the National Survey of Child and Adolescent Well-Being-II baseline data. Overall, primary caregiving fathers and mothers were more similar than different, though a few differences were revealed. Compared to mothers, fathers tended to be older and were more likely to be employed, with a higher household income and older children. Fathers and mothers did not differ in terms of depression or parenting behavior, but there was evidence that mothers have more problems with drug use compared to fathers. Compared to fathers, mothers reported higher levels of internalizing and externalizing problems in their children. Children with male primary caregivers were more likely to have experienced physical abuse but less likely to have experienced emotional abuse or witnessed domestic violence than children with female primary caregivers. These findings may help to inform researchers, practitioners, and policy makers on how to address the needs of male caregivers and their children.

This study evaluates two programs offered by the U.S. Department of Defense that provide solution-focused counseling for common personal and family issues to members of the active and reserve components of the U.S. military and their families.

BACKGROUND: Diabetes is a public health burden that disproportionately affects military veterans and racial minorities. Studies of racial disparities are inherently observational, and thus may require the use of methods such as Propensity Score Analysis (PSA). While traditional PSA accounts for patient-level factors, this may not be sufficient when patients are clustered at the geographic level and thus important confounders, whether observed or unobserved, vary by geographic location. METHODS: We employ a spatial propensity score matching method to account for "geographic confounding", which occurs when the confounding factors, whether observed or unobserved, vary by geographic region. We augment the propensity score and outcome models with spatial random effects, which are assigned scaled Besag-York-Mollié priors to address spatial clustering and improve inferences by borrowing information across neighboring geographic regions. We apply this approach to a study exploring racial disparities in diabetes specialty care between non-Hispanic black and non-Hispanic white veterans. We construct multiple global estimates of the risk difference in diabetes care: a crude unadjusted estimate, an estimate based solely on patient-level matching, and an estimate that incorporates both patient and spatial information. RESULTS: In simulation we show that in the presence of an unmeasured geographic confounder, ignoring spatial heterogeneity results in increased relative bias and mean squared error, whereas incorporating spatial random effects improves inferences. In our study of racial disparities in diabetes specialty care, the crude unadjusted estimate suggests that specialty care is more prevalent among non-Hispanic blacks, while patient-level matching indicates that it is less prevalent. Hierarchical spatial matching supports the latter conclusion, with a further increase in the magnitude of the disparity. CONCLUSIONS: These results highlight the importance of accounting for spatial heterogeneity in propensity score ...