Implementing a college mental health program – an overview of the first twelve months

Objective: To evaluate the demographics and clinical utilization patterns among college students during the initial 12 months of a novel, multi-disciplinary, collaborative, college mental health program (CMHP). Participants: Undergraduate and graduate students receiving treatment at the CMHP from Jan-Dec 2015. Methods: De-identified data was obtained via electronic health records for all students receiving care through the CMHP. Results: 1.2 FTE clinical providers treated 278 undergraduate and graduate students during the year (65.1% < age 26, 53.6% female, 49.6% caucasian). There were 1822 CMHP outpatient visits, 318 other medical visits and 103 total emergency room (ER)/inpatient visits. Ten students were identified as high utilizers of ER/inpatient services, while charges to the CMHP totaled $470,157 and total charges to the Health System were $2,378,315. Conclusions: Students with complex psychiatric/medical co-morbidities received cost effective, convenient and integrative treatment. Over time, we hope to intervene earlier and decrease ER/inpatient visits.     

Social cognition,social neuroscience,and evolutionary social psychology: What's missing?

In this paper I argue that something important, and something social, is missing from contemporary accounts of social cognition, social neuroscience and evolutionary social psychology. Contemporary accounts of social cognition focus on cognition directed towards social objects, that is, towards persons and social groups. In contrast, early twentieth century accounts of socially engaged cognition focused upon beliefs and attitudes oriented to the represented beliefs and attitudes of members of social ‘reference groups’ and directed towards both social and non‐social objects. I argue that this earlier conception of socially engaged cognition should be integrated with contemporary research on social cognition, social neuroscience and evolutionary social psychology, since it poses a challenge but also an opportunity for these disciplines.     

USA immigration policy, source-country social programs, and the skill composition of legal USA immigration

In this paper, highly skilled and less-skilled immigrants in three age classes (20–34, 35–49, and 50–64) are distinguished. Since most highly skilled immigrants are males who enter the USA as numerically restricted, we study only numerically restricted male immigrants. Annual data (1972–1991) for 86 source countries are pooled, and the Hausman–Taylor instrumental variable technique is used to estimate the regressions. Along with measures of differential economic opportunities, migration costs, and USA institutional controls, we incorporate a unique set of variables relating to social programs in source countries. Such programs prove to be significant determinants of the skill composition of USA immigrants.     

Sleep hygiene practices and sleep duration in rotating-shift shiftworkers

Abstract

Alcohol, caffeine and tobacco intake, exercise, activities on going to bed, and sleep-enhancing measures were assessed in 72 rotating-shift shiftworkers to determine whether these variables differ following day shifts and night-shifts, and which are related to sleep duration. Only alcohol intake and exercise prior to sleep, and feeling drowsy when retiring, differed following the night-shift. Workers generally followed recommendations concerning alcohol intake, sleeping immediately on retiring, and exercising, but acted contrary to recommendations concerning caffeine and nicotine intake. The only behaviour clearly associated with poor sleep was smoking, which reduced sleep duration.     

A comparison of regression models for ordinal data in an analysis of transplanted-kidney function

Three regression models for ordinal data, those of Fienberg, McCullagh, and Anderson, are applied to an analysis of kidney function among transplant recipients. The conclusions arising from each model are presented and contrasted.     

Performance Effects Related to the Sequence of Integration of Healthcare Technologies

There is a natural order to most events in life: Everything from learning to read to DNA sequences in molecular biology follows some predetermined, structured methodology that has been refined to yield improved results. Likewise, it would seem that firms could benefit by adopting and implementing technologies in some logical way so as to increase their overall performance. In this study of 555 hospitals, we investigate the order in which medical technologies are transformed into information technologies through a process of converting them from stand‐alone technologies to interoperable, integrated information systems and whether certain configurations of sequences of integration yield additional value. We find that sequence does matter and that hospitals that integrated foundational technologies first—which in this case are known to be more complex—tend to perform better. Theoretical and practical implications of this finding and others are discussed.     

Changes in wealth in the United States, 1962–1983

A simulation model is developed to account for observed changes in mean household wealth both overall and by age cohort over the 1962–1983 period in the United States. There are three major findings. First, capital gains are the major factor explaining overall wealth changes and account for 77% of the simulated growth in wealth over the entire period. Second, for cohorts under age 40, inheritance and inter vivos transfers dominate observed changes in wealth. Indeed, the oldest age groups appear to have transferred sizable amounts of their wealth to younger generations inter vivos, raising the wealth of these younger groups substantially above what it would be based on saving. Third, while differences in portfolio composition favored the younger cohorts over this period, such differences do not explain a large portion of the great variation in real wealth changes by cohort over the two decade period.The authors wish to thank Kevin Camerlo, Maury Gittleman and Kim Hiskey for research and programming assistance.     

From Europe to the Americas: a comparative panel-data analysis of migration to Argentina, Brazil, and the United States, 1870–1910

We use annual panel data, 1870–1910, to estimate and compare the determinants of European emigration to Argentina, Brazil, and the USA. The Hausman–Taylor instrumental variable technique we use provides for cross-sectional (country) controls, accounts for variables that are potentially correlated with the unobservables and allows the recovery of the coefficients of temporally invariant variables. In general, migration was from low-wage source countries, from countries with large stocks of immigrants in the destination who were born in the origin, and from countries with relatively much recent migration to the destination. Certain determinants differ considerably for the three countries.     

Workforce‐constrained Preventive Maintenance Scheduling Using Evolution Strategies

Heavy equipment overhaul facilities such as aircraft service centers and railroad yards face the challenge of minimizing the makespan for a set of preventive maintenance (PM) tasks, requiring single or multiple skills, within workforce availability constraints. In this paper, we examine the utility of evolution strategies to this problem. Comparison of the computational efforts of evolution strategies with exhaustive enumeration to reach optimal solutions for 60 small problems illustrates the ability of evolution strategies to yield optimal solutions increasingly efficiently with increasing problem size. A set of 852 large‐scale problems was solved using evolution strategies to examine the effects of task‐related problem characteristics, workforce‐related variables, and evolution strategies population size (μ) on CPU time. The results empirically supported practical utility of evolution strategies to solve large‐scale, complex preventive maintenance problems involving single‐ and multiple‐skilled workforce. Finally, comparison of evolution strategies and simulated annealing for the 852 experiments indicated much faster convergence to optimality with evolution strategies.