A Cost–Benefit Analysis of a Family Systems Intervention for Managing Pediatric Chronic Illness

Despite recent increases of psychosocial programs for pediatric chronic illness, few studies have explored their economic benefits. This study investigated the costs–benefits of a family systems‐based, psychosocial intervention for pediatric chronic illness (MEND: Mastering Each New Direction). A quasi‐prospective study compared the 12‐month pre–post direct and indirect costs of 20 families. The total cost for program was estimated to $5,320. Families incurred $15,249 less in direct and $15,627 less in indirect costs after MEND. On average, medical expenses reduced by 86% in direct and indirect costs, for a cost–benefit ratio of 0.17. Therefore, for every dollar spent on the program, families and their third payers saved approximately $5.74. Implications for healthcare policy and reimbursements are discussed.     

The Prevalence of Uncorrected Refractive Errors in Adolescents Incarcerated in a Youth Detention Center

The purpose of this study was to determine the number of residents requiring corrective lenses in a youth detention center for juveniles from 12 to 18 years old over a 2-year period. A greater number of adolescents incarcerated for criminal activity in a detention center had uncorrected refractive errors (34.87 %) as compared to a comparable population in the public school system (22 %). The prevalence of significant refractive errors among incarcerated adolescents in this study is significantly higher than has been reported previously. The current study found a refractive error rate of almost 35 %. This difference can be explained by a number of factors in their social environments and identifies an area for potential intervention to reduce antisocial behavior in this population.     

Foreign aid and domestic taxation: multiple sources,one conclusion

There are influential studies that argue that foreign aid displaces domestic tax revenue when it is given in the form of grants. These claims are based on data that are deeply problematic: several different sources are amalgamated into one dataset, with no apparent checks on compatibility. In this article, a variety of econometric strategies are used to overcome these issues of data quality. The resulting weight of evidence points to a modest but positive effect on the part of foreign aid generally on domestic tax revenue. Fears over a negative effect for aid grants appear unwarranted, and are accounted for by the inappropriate use of data or endogeneity issues.     

A comprehensive approach to sexual and transgender prejudice

Prejudice and discrimination against lesbian, gay, bisexual, transgender, and queer (LGBTQ) individuals continues to have a detrimental impact on the mental health of this population. Research examining commonalities and uniqueness among negative attitudes toward specific sexual and gender minority groups is extremely limited. The authors propose that research examining sexual prejudice include attitudes toward diverse subgroups within the larger LGBTQ community in order to facilitate development of underlying constructs and identify unique contributing factors. Common and unique factors identified within existing research are organized into categorical themes, which are delineated in a conceptual factor model of sexual and transgender prejudice.     

Assembly Line Balancing Using Genetic Algorithms with Heuristic-Generated Initial Populations and Multiple Evaluation Criteria*

We use genetic algorithms (GA) to solve the assembly line balancing (ALB) problem. Inparticular, we show how this technique can be used to generate feasible line balances, improve upon solutions obtained by other heuristics reported in the literature, and utilizeany one or more evaluation criteria that can be expressed in functional form. The procedure is demonstrated with two examples: (1) intimating the improvement of heuristic-generated ALB solutions by including them in the GA initial population, and (2) the possibility of balancing assembly lines with multiple criteria and side constraints. These examples suggest that GA can be a powerful tool in ALB. To investigate the utility of GA on single-criterion problems, an experiment is conducted that compares both the GA approach and conventional heuristics. Results indicate that the GA solutions are significantly improved over the heuristic solutions under the conditions studied. It is also found that the presence of heuristic-generated conventional solutions in the GA initial population leads to statistically preferred results.     

A Learning Curve Analysis of Expert System Use*

In this article, we study how an expert system affects novice problem solving in a financial risk analysis domain. We demonstrate that novice performance is improved after exposure to an expert system. Further, we show that novice performance continues to improve when the system is withdrawn. By comparing learning curves for people with exposure to those without, we can assess how much the system has benefitted its users. We demonstrate a quantitative methodology to measure the increment of learning due to the use of an information technology. We also explore the issue of how expertise is transferred from the system to the user.