Culture Wars,Secular Realignment,and the Gender Gap in Party Identification

Changes in the U.S. partisan balance over the past decade are often attributed to the enhanced political salience of cultural issues. Yet as white men have continued to become more Republican in recent years, white women increasingly identify with the Democrats. To the extent that cultural issues are influencing this partisan change, men and women must be responding differently to this cultural agenda. Using a pooled ANES data set from 1988 through 2000, I explore the extent to which cultural values are responsible for this gender realignment. Findings suggest that salient cultural issues influence the partisan choices of both men and women, however in somewhat different ways. For women, the issues themselves—reproductive rights, female equality, and legal protection for homosexuals—have become increasingly important determinants of party identification. For men, the influence of cultural conflict on partisanship is argued to be equally pervasive, albeit less direct.     

What to Do When Stakeholders Matter: The Case of Problem Formulation for the African American Men Project of Hennepin County, Minnesota

We propose a series of stakeholder analyses designed to help organizations—especially governments—think and act strategically during the process of problem formulation in order to advance the common good. Specifically, we argue that at least five sets of analyses are necessary, including the creation of (1) a power versus interest grid; (2) a stakeholder influence diagram; (3) bases of power–directions of interest diagrams; (4) a map for finding the common good and structuring a winning argument; and (5) diagrams indicating how to tap individual stakeholder interests to pursue the common good. What the analyses do is help to transform a seemingly "wicked problem"—for example, how to produce better outcomes for African American men aged 18–30—into something more tractable, and therefore amenable to collective action. In other words, stakeholder analysis can be used to link political rationality with technical rationality so that support can be mobilized for substantive progress.     

The Prevalence of Mental Illness Among Inmates in a Rural State

A limited number of recent empirical studies suggest that inmates suffer from high rates of serious mental illness. Different explanations are offered depending on the type of institution: jail or prison. The literature is based largely on urban samples and does not offer comparisons of rates across types of institution within a single study. The present study examined a random sample of 213 jail and prison inmates in a rural state using the Diagnostic Interview Schedule (III-R). Among jail inmates there was little evidence of high rates of serious mental illness, suggesting the criminalization of mental illness may not be as evident in rural settings as urban areas. Among prison inmates, however, high rates of mental disorders were found, supporting previous findings in urban and rural jurisdictions. Implications of the findings are discussed in the context of a consolidated correctional system.     

Evaluation of sieving polymers for fast, reproducible electrophoretic analysis of short tandem repeats (STR) in capillaries

Efficient capillary electrophoretic STR analysis requires rapid, reproducible and robust separation of DNA fragments with reasonable capillary longevity--this is currently accomplished using proprietary commercial polymeric sieving matrices specifically developed for this separation. These matrices, while effective, are costly and do not provide adequate resolution of STR DNA fragments in capillaries with shorter effective separation lengths, increasing the time required to accomplish the separation and minimizing the potential extrapolation to other miniaturized platforms. As the forensic community looks toward next generation microchip technology as a means of processing casework more rapidly, new sieving polymers need to be evaluated for utilization in this platform. The research presented here describes the assessment of commercially-available polymeric sieving matrices for STR analysis, with consideration given to feasibility of incorporation into a microdevice. Polymer composition, molecular weight, and concentration were evaluated, along with an assessment of the effects of buffer composition, separation temperature, and capillary length. These variables were evaluated individually or collectively on the ability to resolve STR DNA fragments and the reproducibility of the separations and the results compared to a proprietary commercial product. A 600,000 Da MW poly(ethylene oxide) (PEO) solution at a 3% (w/v) concentration was determined to be the most suitable matrix for these separations. This polymer, in coated capillaries, provided highly robust and reproducible separations, with near baseline resolution of fragments having single base differences. Reductions in the temperature of the separation, from 60 degrees C to 40 degrees C, and the urea concentration of the buffer, from 7 M to 3.5 M, provided increased longevity of the PEO polymer for repeated separations. Comparison of this polymer with currently specified commercial products used for STR analysis showed that the optimized PEO matrix provided superior separations under all conditions tested. In addition, PEO could be utilized in shorter capillary systems, with a concurrent decrease in analysis time, highlighting its potential for use in shortened capillary or microdevice systems.     

The who, what, and why of risk adjustment: a technology on the cusp of adoption

Risk adjustment (RA) consists of a series of techniques that account for the health status of patients when predicting or explaining costs of health care for defined populations or for evaluating retrospectively the performance of providers who care for them. Although the federal government seems to have settled on an approach to RA for Medicare Advantage programs, adoption and implementation of RA techniques elsewhere have proceeded much more slowly than was anticipated. This article examines factors affecting the adoption and use of RA outside the Medicare program using case studies in six U.S. health care markets (Baltimore, Seattle, Denver, Cleveland, Phoenix, and Atlanta) as of 2001. We found that for purchasing decisions, RA was used exclusively by public agencies. In the private sector, use of risk adjustment was uncommon and scattered and assumed informal and unexpected forms. The most common private sector use of RA was by health plans, which occasionally employed RA in negotiations with purchasers or to allocate resources internally among providers. The article uses classic technology diffusion theory to explain the adoption and use of RA in these six markets and derives lessons for health policy generally and for the future of RA in particular. For health policy generally, the differing experiences of public and private actors with RA serve as markers of the divergent paths that public and private health care sectors are pursuing with respect to managed care and risk sharing. For the future of RA in particular, its history suggests the need for health service researchers to consider barriers to use adoption and new analytic technologies as they develop them.     

Proficiency testing (external quality assessment) of drug detection in oral fluid

Eighteen external quality assessment (proficiency testing) samples were prepared from client specimens collected with the Intercept oral fluid collection device and by spiking drug-free oral fluid. Samples were circulated in pairs at quarterly intervals to 13 UK and USA based laboratories for analysis by a panel of OraSure micro-plate Intercept enzyme immunoassay kits and hyphenated mass spectrophotometric techniques. During the survey, there was a single case of non-specificity in a false report for methadone. The major errors were of lack of sensitivity relative to the concentration thresholds specified for the immunoassays. The sensitivity for overall "present"/"not found" reports calculated as true positives/(true positives+false negatives) were for the amphetamine specific assay 50%, methyl-amphetamines 93%, barbiturates 64%, cannabinoids 73%, cocaine and metabolites 100%, benzodiazepines 69%, methadone 95%, opiates 79% (opiates excluding oxycodone 93%), phencyclidine 93% and human gamma-globulin 97%. A small number of the sensitivity errors were attributable to errors in chromatographic confirmation techniques.