A Pilot for Improving Depression Care on College Campuses: Results of the College Breakthrough Series–Depression (CBS-D) Project

Abstract

Objective: To implement a pilot quality improvement project for depression identification and treatment in college health. Participants: Eight college health center teams composed primarily of primary care and counseling service directors and clinicians. Methods: Chronic (Collaborative) Care Model (CCM) used with standardized screening to identify, treat, and track depressed students for 12 weeks to monitor predetermined process and clinical outcomes. Results: Of all students receiving primary medical care services between January 2007 and May 2008, 69% (n = 71,908) were screened for depression. A total of 801 depressed students were treated and tracked; most predetermined treatment process and clinical outcome targets were achieved. Conclusion: The CCM for depression shows promise for improving depression identification and care for college students.     

Initial Validation of the Open Adoption Scale: Measuring the Influence of Adoption Myths on Attitudes Toward Open Adoption

All adoptions, including those facilitated by public agencies, should be evaluated for openness. Although there are no national figures related to openness in public welfare, there are indications that it is not considered in all cases. Adoption myths may be one of the reasons that adoption workers do not always assess a family's ability to maintain a more open adoption arrangement. The following study is the initial validation of a multidimensional psychometric instrument developed to measure myths as they relate to open adoption. Based on a sample of 547 university students, the results indicate very good reliability and acceptable factorial and construct validity. The instrument was designed as a training and research tool to inform child welfare personnel and policy makers of the influence of adoption-related myths on child welfare adoption practice.     

Locally quadratic log likelihood and data-based transformations

The investigation of multi-parameter likelihood functions is simplified if the log likelihood is quadratic near the maximum, as then normal approximations to the likelihood can be accurately used to obtain quantities such as likelihood regions. This paper proposes that data-based transformations of the parameters can be employed to make the log likelihood more quadratic, and illustrates the method with one of the simplest bivariate likelihoods, the normal two-parameter likelihood.     

A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems

The analysis of survival endpoints subject to right-censoring is an important research area in statistics, particularly among econometricians and biostatisticians. The two most popular semiparametric models are the proportional hazards model and the accelerated failure time (AFT) model. Rank-based estimation in the AFT model is computationally challenging due to optimization of a non-smooth loss function. Previous work has shown that rank-based estimators may be written as solutions to linear programming (LP) problems. However, the size of the LP problem is O(n ²+p) subject to n ² linear constraints, where n denotes sample size and p denotes the dimension of parameters. As n and/or p increases, the feasibility of such solution in practice becomes questionable. Among data mining and statistical learning enthusiasts, there is interest in extending ordinary regression coefficient estimators for low-dimensions into high-dimensional data mining tools through regularization. Applying this recipe to rank-based coefficient estimators leads to formidable optimization problems which may be avoided through smooth approximations to non-smooth functions. We review smooth approximations and quasi-Newton methods for rank-based estimation in AFT models. The computational cost of our method is substantially smaller than the corresponding LP problem and can be applied to small- or large-scale problems similarly. The algorithm described here allows one to couple rank-based estimation for censored data with virtually any regularization and is exemplified through four case studies.     

Three Journeys Toward The Reflecting Team

The experience of familiestrainee and supervisory therapists involved in reflecting team work are explored through the metaphor of ‘journey’ and by asking a small number of our colleagues and clients about their experiences. Ideas gained from this approach are tentatively used to raise some questions about the reflecting team specifically and the current direction of family therapy. More rigorous research into this area is invited.     

The Effect of Gender Context on Children's Social Behavior in a Limited Resource Situation: An Observational Study

Knowing when to compete and when to cooperate to maximize opportunities for equal access to activities and materials in groups is critical to children's social and cognitive development. The present study examined the individual (gender, social competence) and contextual factors (gender context) that may determine why some children are more successful than others. One hundred and fifty‐six children (M age=6.5 years) were divided into 39 groups of four and videotaped while engaged in a task that required them to cooperate in order to view cartoons. Children within all groups were unfamiliar to one another. Groups varied in gender composition (all girls, all boys, or mixed‐sex) and social competence (high vs. low). Group composition by gender interaction effects were found. Girls were most successful at gaining viewing time in same‐sex groups, and least successful in mixed‐sex groups. Conversely, boys were least successful in same‐sex groups and most successful in mixed‐sex groups. Similar results were also found at the group level of analysis; however, the way in which the resources were distributed differed as a function of group type. Same‐sex girl groups were inequitable but efficient whereas same‐sex boy groups were more equitable than mixed groups but inefficient compared to same‐sex girl groups. Social competence did not influence children's behavior. The findings from the present study highlight the effect of gender context on cooperation and competition and the relevance of adopting an unfamiliar peer paradigm when investigating children's social behavior.     

Bayesian estimation of P (Y<X) from Burr-type X model containing spurious observations

We consider the problem of estimating R=P(Y<X) when X and Y are independent Burr-type X random variables. We assume that the sample from each population contains one spurious observation. Bayes estimates are derived for exchangeable and identifiable cases. Monte Carlo simulation is carried out to compare the bias and the expected loss of R.