Changing attitudes about self-injury prevention management: lessons learned

In the behavioral health environment, nurses often use continuous staff monitoring and, at times, physical restraints, to manage the severity of patients' self-injury. Both options put staff in control, are the most restrictive in nature, and can be financially draining on the hospital's budget. This can result in negative reactions by both patients and staff. It is important to develop a program that will empower patients to control their behavior and allow staff to be aware of their perceptions and attitudes toward patients who self-injure. This article describes the leadership initiative that drove the development, training, and implementation of a self-injury prevention project and the lessons learned by staff.     

On parallel policies for ranking and selection problems

In this paper we develop and test experimental methodologies for selection of the best alternative among a discrete number of available treatments. We consider a scenario where a researcher sequentially decides which treatments are assigned to experimental units. This problem is particularly challenging if a single measurement of the response to a treatment is time-consuming and there is a limited time for experimentation. This time can be decreased if it is possible to perform measurements in parallel. In this work we propose and discuss asynchronous extensions of two well-known Ranking & Selection policies, namely, Optimal Computing Budget Allocation (OCBA) and Knowledge Gradient (KG) policy. Our extensions (Asynchronous Optimal Computing Budget Allocation (AOCBA) and Asynchronous Knowledge Gradient (AKG), respectively) allow for parallel asynchronous allocation of measurements. Additionally, since the standard KG method is sequential (it can only allocate one experiment at a time) we propose a parallel synchronous extension of KG policy – Synchronous Knowledge Gradient (SKG). Computer simulations of our algorithms indicate that our parallel KG-based policies (AKG, SKG) outperform the standard OCBA method as well as AOCBA, if the number of evaluated alternatives is small or the computing/experimental budget is limited. For experimentations with large budgets and big sets of alternatives, both the OCBA and AOCBA policies are more efficient.     

Agent Rationality Behind Network Formation

We search for agent behavior rules which lead to the emergence of social networks that exhibit empirically observed phenomena: small-world property, scale-free degree distribution and stability in time. We assume that agents form and sever links using a cost-benefit analysis. Agents receive benefit from own links and from links that their friends form. On the other hand, link formation, deletion and keeping is costly. We find that a simple model structure which relies only on convex cost of link upkeep leads to stable networks which exhibit the small-world property.     

Residency differentials in Mormon fertility

Although one of the most consistent findings of recent fertility studies is the convergence of the religious differentials in fertility, few data have been analysed to discover Mormon fertility trends and differentials. This paper, based on data obtained on 1,001 Mormon couples, is concerned with describing the effects that the dispersion of Mormon families from the Mormon centre in Utah to surrounding areas with various social conditions is having on the fertility of the re-located Mormon families. Data presented clearly show that such families do, on the average, have a lower fertility than do their Mormon contemporaries residing in the homogeneous Mormon society in Utah. They probably compromise their religious obligations to have children with the contradicting demands of their new environment. Their loyalty to these religious beliefs, however, is confirmed by data which show that they tend to have larger families in their new environments than do their non-Mormon neighbours.