Runaway and Throwaway Youth: Time for Policy Changes and Public Responsibility

The traditional American dream of owning a home, obtaining a college education, and working at a good, paying job is only that, a dream, for scores of homeless youth in America today. There is a growing street population of young people who have been thrown out of their homes by their caretakers or their families, and who face life-threatening situations each day. For these youth, the furthest thing in their lives is reaching the so-called “American Dream;” and their most immediate need is survival, simply living out the day in front of them. They have few options that lead to a decent and safe living environment. Their age, lack of work experience, and absence of a high school diploma make it most difficult to find a job. As a result, they turn to other means for survival; runaways and throwaways are most vulnerable to falling prey to the sex trade, selling drugs, or being lured into human trafficking, and some steal or panhandle. Street youth end up spending their nights in bus stations or finding a room in an abandoned building or an empty stairwell to sleep. Attempting to identify a specific number of homeless youth is difficult at best, but what is even more perplexing is our continued inability to effectively protect our children. We are left with a basic question framed by the fundamental tenets of justice: what is a community’s responsibility to its youth who, for whatever reason, end up living on the streets or in unsafe, abusive environments? The purpose of this paper is to briefly outline the characteristics of homeless youth, in particular differentiating between throwaways and runaways; explore the current federal response to homeless youth; and finally, address the nagging question that swirls around all children: can we aggressively aspire to be a community where every child is healthy and safe, and able to realize his or her fullest potential?

Barriers to cross-border research projects: A prelude to improving professional collaborations between the United States and Mexico

Study objective. This was a secondary data analysis of a study designed and executed in two phases in order to investigate several questions: Why aren't more investigators conducting successful cross-border research on human health issues? What are the barriers to conducting this research? What interventions might facilitate cross-border research? ^ Methods. Key informant interviews and focus groups were used in Phase One, and structured questionnaires in Phase Two. A multi-question survey was created based on the findings of focus groups and distributed to a wider circle of researchers and academics for completion. The data was entered and analyzed using SPSS software. ^ Setting. El Paso, TX located on the U.S-Mexico Border. ^ Participants. Individuals from local academic institutions and the State Department of Health. ^ Results. From the transcribed data of the focus groups, eight major themes emerged: Political Barriers, Language/Cultural Barriers, Differing Goals, Geographic Issues, Legal Barriers, Technology/Material Issues, Financial Barriers, and Trust Issues. Using these themes, the questionnaire was created. ^ The response rate for the questionnaires was 47%. The largest obstacles revealed by this study were identifying a funding source for the project (47% agreeing or strongly agreeing), difficulties paying a foreign counterpart (33% agreeing or strongly agreeing) and administrative changes in Mexico (31% agreeing or strongly agreeing). ^ Conclusions. Many U.S. investigators interested in cross-border research have been discouraged in their efforts by varying barriers. The majority of respondents in the survey felt financial issues and changes in Mexican governments were the most significant obstacles. While some of these barriers can be overcome simply by collaboration among motivated groups, other barriers may be more difficult to remove. Although more evaluation of this research question is warranted, the information obtained through this study is sufficient to support creation of a Cross-Border Research Resource Manual to be used by individuals interested in conducting research with Mexico. ^

The influence of social connectedness and self-esteem on participant retention in a bi-ethnic longitudinal study

In prospective studies it is essential that the study sample accurately represents the target population for meaningful inferences to be drawn. Understanding why some individuals do not participate, or fail to continue to participate, in longitudinal studies can provide an empirical basis for the development of effective recruitment and retention strategies to improve response rates. This study examined the influence of social connectedness and self-esteem on long-term retention of participants, using secondary data from the “San Antonio Longitudinal Study of Aging” (SALSA), a population-based study of Mexican Americans (MAs) and European Americans (EAs) aged over 65 years residing in San Antonio, Texas. We tested the effect of social connectedness, self-esteem and socioeconomic status on participant retention in both ethnic groups. In MAs only, we analyzed whether acculturation and assimilation moderated these associations and/or had a direct effect on participant retention. ^ Low income, low frequency of social contacts and length of recruitment interval were significant predictors of non-completer status. Participants with low levels of social contacts were almost twice as likely as those with high levels of social contacts to be non-completers, even after adjustment for age, sex, ethnic group, education, household income, and recruitment interval (OR = 1.95, 95% CI: 1.26–3.01, p = 0.003). Recruitment interval consistently and strongly predicted non-completer status in all the models tested. Depending on the model, for each year beyond baseline there was a 25–33% greater likelihood of non-completion. The only significant interaction, or moderating, effect observed was between social contacts and cultural values among MAs. Specifically, MAs with both low social contacts and low acculturation on cultural values (i.e., placed high value on preserving Mexican cultural origins) were three and half times more likely to be non-completers compared with MAs in other subgroups comprised of the combination of these variables, even after adjustment for covariates. ^ Long term studies with older and minority participants are challenging for participant retention. Strategies can be designed to enhance retention by paying special attention to participants with low social contacts and, in MAs, participants with both low social contacts and low acculturation on cultural values. Minimizing the time interval between baseline and follow-up recruitment, and maintaining frequent contact with participants during this interval should also be is integral to the study design.^

The cost of insuring the uninsured in the U.S.

Objectives: This study included two overarching objectives. Through a systematic review of the literature published between 1990 and 2012, the first objective aimed to assess whether insuring the uninsured would result in higher costs compared to insuring the currently insured. Studies that quantified the actual costs associated with insuring the uninsured in the U.S. were included. Based upon 2009 data from the Medical Expenditure Panel Survey (MEPS), the second objective aimed to assess and compare the self-reported health of populations with four different insurance statuses. The second part of this study involved a secondary data analysis of both currently insured and currently uninsured individuals who participated in the MEPS in 2009. The null hypothesis was that there were no differences across the four categories of health insurance status for self-reported health status and healthcare service use. The alternative hypothesis was that were differences across the four categories of health insurance status for self-reported health status and healthcare service use. Methods: For the systematic review, three databases were searched using search terms to identify studies that actually quantified the cost of insuring the uninsured. Thirteen studies were selected, discussed, and summarized in tables. For the secondary data analysis of MEPS data, this study compared four categories of health insurance status: (1) currently uninsured persons who will become eligible for Medicaid under the Patient Protection and Affordable Care Act (PPACA) healthcare reforms in 2014; (2) currently uninsured persons who will be required to buy private insurance through the PPACA health insurance exchanges in 2014; (3) persons currently insured under Medicaid or SCHIP; and (4) persons currently insured with private insurance. The four categories were compared on the basis of demographic information, health status information, and health conditions with relatively high prevalence. Chi-square tests were run to determine if there were differences between the four groups in regard to health insurance status and health status. With some exceptions, the two currently insured groups had worse self-reported health status compared to the two currently uninsured groups. Results: The thirteen studies that met the inclusion criteria for the systematic review included: (1) three cost studies from 1993, 1995, and 1997; (2) four cost studies from 2001, 2003, and 2004; (3) one study of disabilities and one study of immigrants; (4) two state specific studies of uninsured status; and (5) two current studies of healthcare reform. Of the thirteen studies reviewed, four directly addressed the study question about whether insuring the uninsured was more or less expensive than insuring the currently insured. All four of the studies provided support for the study finding that the cost of insuring the uninsured would generally not be higher than insuring those already insured. One study indicated that the cost of insuring the uninsured would be less expensive than insuring the population currently covered by Medicaid, but more expensive to insure than the populations of those covered by employer-sponsored insurance and non-group private insurance. While the nine other studies included in the systematic review discussed the costs associated with insuring the uninsured population, they did not directly compare the costs of insuring the uninsured population with the costs associated with insuring the currently insured population. For the MEPS secondary data analysis, the results of the chi-square tests indicated that there were differences in the distribution of disease status by health insurance status. As anticipated, with some exceptions, the uninsured reported lower rates of disease and healthcare service use. However, for the variable attention deficit disorder, the uninsured reported higher disease rates than the two insured groups. Additionally, for the variables high blood pressure, high cholesterol, and joint pain, the currently insured under Medicaid or SCHIP group reported a lower rate of disease than the two currently insured groups. This result may be due to the lower mean age of the currently insured under Medicaid or SCHIP group. Conclusion: Based on this study, with some exceptions, the costs for insuring the uninsured should not exceed healthcare-related costs for insuring the currently uninsured. The results of the systematic review indicated that the U.S. is already paying some of the costs associated with insuring the uninsured. PPACA will expand health insurance coverage to millions of Americans who are currently uninsured, as the individual mandate and insurance market reforms will require. Because many of the currently uninsured are relatively healthy young persons, the costs associated with expanding insurance coverage to the uninsured are anticipated to be relatively modest. However, for the purposes of construing these results, it is important to note that once individuals obtain insurance, it is anticipated that they will use more healthcare services, which will increase costs. (Abstract shortened by UMI.)^