Therapeutic alliance between youth and staff in residential group care: Psychometrics of the therapeutic alliance quality scale

Therapeutic alliance has been frequently studied in individual counseling sessions; however, research on therapeutic alliance in residential settings for youth with mental health diagnoses has been limited. This may be due, in part, to the presence of multiple service providers often in caregiving roles. The purpose of this study was to examine the psychometric quality of a widely utilized measure of therapeutic alliance used in psychotherapy with youth in residential care where the treatment is provided by a trained married couple. We also compared the relationship between youth ratings of their male and female service providers, as well as examined correlations in ratings between youth and staff on therapeutic alliance. Finally, we investigated the direction, magnitude, and trajectory of change in therapeutic alliance over a 12-month period following admission into residential care. The method was a longitudinal assessment of 135 youth and 124 staff regarding therapeutic alliance over the course of 12 months or discharge from services. Results indicated strong psychometric properties and high correlations for youth ratings of both their male and female service providers. However, the correlation was low between youth and service provider ratings of alliance. Longitudinal analyses indicated that rates of therapeutic alliance changed over time.     

Decision analysis and risk models for land development affecting infrastructure systems

Coordination and layering of models to identify risks in complex systems such as large-scale infrastructure of energy, water, and transportation is of current interest across application domains. Such infrastructures are increasingly vulnerable to adjacent commercial and residential land development. Land development can compromise the performance of essential infrastructure systems and increase the costs of maintaining or increasing performance. A risk-informed approach to this topic would be useful to avoid surprise, regret, and the need for costly remedies. This article develops a layering and coordination of models for risk management of land development affecting infrastructure systems. The layers are: system identification, expert elicitation, predictive modeling, comparison of investment alternatives, and implications of current decisions for future options. The modeling layers share a focus on observable factors that most contribute to volatility of land development and land use. The relevant data and expert evidence include current and forecasted growth in population and employment, conservation and preservation rules, land topography and geometries, real estate assessments, market and economic conditions, and other factors. The approach integrates to a decision framework of strategic considerations based on assessing risk, cost, and opportunity in order to prioritize needs and potential remedies that mitigate impacts of land development to the infrastructure systems. The approach is demonstrated for a 5,700-mile multimodal transportation system adjacent to 60,000 tracts of potential land development.     

A Bayesian approach to Markov modelling in cost-effectiveness analyses: application to taxane use in advanced breast cancer

Summary. The paper demonstrates how cost-effectiveness decision analysis may be implemented from a Bayesian perspective, using Markov chain Monte Carlo simulation methods for both the synthesis of relevant evidence input into the model and the evaluation of the model itself. The desirable aspects of a Bayesian approach for this type of analysis include the incorporation of full parameter uncertainty, the ability to perform all the analysis, including each meta-analysis, in a single coherent model and the incorporation of expert opinion either directly or regarding the relative credibility of different data sources. The method is described, and its ease of implementation demonstrated, through a practical example to evaluate the cost-effectiveness of using taxanes for the second-line treatment of advanced breast cancer compared with conventional treatment. For completeness, the results from the Markov chain Monte Carlo simulation model are compared and contrasted with those from a classical Monte Carlo simulation model.     

A Branch and Bound algorithm for general mixed-integer quadratic programs based on quadratic convex relaxation

Let \((MQP)\) be a general mixed-integer quadratic program that consists of minimizing a quadratic function \(f(x) = x^TQx +c^Tx\) subject to linear constraints. Our approach to solve \((MQP)\) is first to consider an equivalent general mixed-integer quadratic problem. This equivalent problem has additional variables \(y_{ij}\) , additional quadratic constraints \(y_{ij}=x_ix_j\) , a convex objective function, and a set of valid inequalities. Contrarily to the reformulation proposed in Billionnet et al. (Math Program 131(1):381–401, 2012), the equivalent problem cannot be directly solved by a standard solver. Here, we propose a new Branch and Bound process based on the relaxation of the non-convex constraints \(y_{ij}=x_ix_j\) to solve \((MQP)\) . Computational experiences are carried out on pure- and mixed-integer quadratic instances. The results show that the solution time of most of the considered instances with up to 60 variables is improved by our Branch and Bound algorithm in comparison with the approach of Billionnet et al. (2012) and with the general mixed-integer nonlinear solver BARON (Sahinidis and Tawarmalani, Global optimization of mixed-integer nonlinear programs, user’s manual, 2010).     

Using a Community Participatory Research Approach to Understand Satisfaction with Psychopharmacology Among Families of Children with Psychiatric Co-Morbidities

How do parents of children with psychiatric co-morbidities perceive their children’s use of psychiatric medications? To learn more, the Parent/Professional Advocacy League of Massachusetts (PAL), representing families of children with mental health needs, collaborated with researchers on a community-based participatory research (CBPR) study. A questionnaire assessed satisfaction with psychiatric medication as it pertained to children with psychiatric co-morbidities (n = 212). Satisfied parents were likely to employ alternative therapies and feel that prescribers had informed them about medication use and side effects. Results reinforce the need for prescribers to discuss psychopharmacology with families. CBPR improved study relevance and supported PAL’s advocacy efforts.     

Earth,the Business of the Future: From Ego Energy to Eco Energy

Just as we have a turn around manager to save a failing business organization, so it is held, we need a turn around perspective to retrieve the Earth from being in a deficit position. Hence the paradoxical emphasis upon the Earth as the business of the future. Two important distinctions are offered which together provide a new frame of reference for bonding the human and the Earth. The initiating event for the first distinction was a business conference whose purpose was to explore the emerging domain of ego energy. In a parallel way, it is proposed we explore the yet to be discovered domain of eco energy. With eco energy we open our narrowed human window to cosmic perception. With cosmic perception, the energy of the universe can flow through us. The second distinction is between looking at and seeing. Looking at refers to treating our world as a collection of objects. As a collection of objects the Earth can be processed as a series of business transactions. With seeing we relate to our world as a communion of subjects. Such seeing offers transforming power for the human and the Earth to engage in the dialogue of powerful listening and speaking on both individual and planetary scale. These two sets of distinctions are sounded like echo chambers against ten ecologically guiding statements. These ten guiding statements become a reality-testing, experiential framework. Such a turn around perspective offers a different vision to be operationalized in our individual, community, and business lives. Then we can see clearly and respond with eco energy to the Earth, the business of the future!     

Travail salarié, travail domestique,travail au noir : l’économie domestique à l’épreuve de l’accession à la propriété

A survey conducted in a recent housing development located in an exurban township to the east of Lyon, France, investigated how owning a house affects the work for wages and work in the household of each person in a couple. Though an economic burden, a house can represent a family and occupational resource for low-income households in a context where wage earning is precarious. This is especially true for women with few skills who “choose” to specialize in day-care work, whether declared or not. Home ownership often reinforces the division of labor between men and women. The articulation of the occupational and household spheres also depends on the household's financial and social resources and on the distance from family networks of exchange and support.     

Nonparametric additive location-scale models for interval censored data

An nonparametric additive model for the location and dispersion of a continuous response with an arbitrary smooth conditional distribution is proposed. B-splines are used to specify the three components of the model. It can deal with interval censored data and multiple covariates. After a simulation study, the relation between age, the number of years of full-time education and the net income (provided as intervals) available per person in Belgian households is studied from survey data.