Health policy for the elderly

also director of the human development program at his university. He is the author of The Decision-Makers: The Power Structure of Dallas; The Aging Enterprise; Long-Term Care of the Elderly,and Political Economy, Health, and Aging.     

Assay of free and total tocainide by high performance liquid chromatography (HPLC) with ultraviolet (UV) detection

A rapid high performance liquid chromatographic (HPLC) method for the determination of tocainide, using N-(2,6-dimethylphenyl)-2-amino-butanimide as an internal standard, was developed. A methylene chloride extraction involving salting out at pH 9.0 was employed. An 85:15 mixture of 0.025M monobasic potassium phosphate at pH 3.0 and acetonitrile was used as the mobile phase. The separation and quantitative analysis of tocainide was performed on a mixed phase column with a 1.0-mL/min flow rate and detection at 210 nm. Separation of tocainide from some of its metabolites required the use of heptane sulfonic acid as an ion-pairing reagent. For the free-drug assay, the specimen was centrifuged through an Amicon Centrifree filter before being processed.     

An Analysis of Presidential Preferences in the Distribution of Empowerment Zones and Enterprise Communities

Critics regarded the selection of urban empowerment zones and enterprise communities by Secretary Cisneros in 1994 as sympathetic to President Clinton's considerations. However, the secretary countered that cities were chosen based on their ability to revitalize their communities successfully, as outlined in their applications. To determine whether the secretary responded to top-down presidential preferences, data from the complete list of applications is used to test four hypotheses derived from principal—agent theory. The results of the logistic regression models do not validate the significance of the presidential variables (for instance, presidential support score for each city's congressional delegation, marginal districts, and 1992 state vote for President Clinton). Rather, many of the nonpresidential variables (community participation, size of the empowerment zone or enterprise community, and poverty) were significant in supporting the secretary's contention.     

Mass Reentry,Neighborhood Context and Recidivism: Examining How the Distribution of Parolees Within and Across Neighborhoods Impacts Recidivism

Recent scholarship focuses on the role neighborhood context plays in reoffending. These studies lack an examination of how the size of the parolee population at the neighborhood-level impacts individual recidivism. We examine how the size and clustering of parolee populations within and across neighborhoods impacts individual-level recidivism. Using data from parolees returning to three Ohio cities from 2000 to 2009, we examine how concentrations of parolees in neighborhoods and in the surrounding neighborhoods impact the likelihood of reoffending. We also examine whether parolee clustering conditions the relationship between neighborhood-level characteristics and recidivism. Results show concentrated reentry increases recidivism, while parolees in stable neighborhoods are less likely to recidivate. Also, the positive effect of parolee concentration is tempered when parolees return to stable neighborhoods. These findings suggest that augmenting resources available in neighborhoods saturated by parolees, as well as bolstering residential stability in these same neighborhoods might reduce reoffending.     

The differential predictive validity of the Youth Level of Service/Case Management Inventory: the role of gender

Most criminogenic risk assessments are developed and empirically validated on samples of boys or samples comprised of mostly boys, and subsequently applied to girls. Using a sample of male (n = 1,267) and female (n = 453) probationers, the purpose of the current study was to examine the potentially differential performance of the Youth Level of Service/Case Management Inventory (YLS/CMI) and the instrument’s eight domains for female juvenile offenders. Findings revealed gender differences in the predictive validity of the YLS/CMI in which girls scored significantly higher on the risk assessment, but recidivated at significantly lower rates than boys two years following the administration of the assessment. The predictive validity of the instrument was impacted by these gender differences in which the YLS/CMI total score was a better predictor of recidivism for boys (area under the curve (AUC) = .623) than girls (AUC = .565). The only subscales that significantly predicted recidivism for girls were the family (AUC = .607) and personality (AUC = .572) domains, whereas all of the subscales significantly predicted recidivism for boys. Directions for future research as well as gender-responsive assessment, programming, and policy implications are discussed.