Cost of Including Males in a University Rubella Immunization Program: A Recommendation to Change a Discriminatory Policy

Abstract

Twenty-seven University of Rochester students developed clinical manifestations of rubella during 1976–77. Twenty-five were male and had not been immunized against this disease; 18 required infirmary care costing $4,876. On the basis of data for freshman males, a cost analysis demonstrates the feasibility of changing the university policy which encourages immunization only of females to encouragement of either selective or mass immunization of all males as well. Immunization during childhood with combined MMR vaccine is least expensive and should be encouraged. In certain circumstances, selective immunization of susceptible males may be less expensive than the present selective policy, which leaves males at risk.     

Call to action: Better care,better health,and greater value in college health

ABSTRACT

It is time for action by leaders across higher education to strengthen quality improvement (QI) in college health, in pursuit of better care, better health, and increased value – goals closely linked to students' learning and success. The size and importance of the college student population; the connections between wellbeing, and therefore QI, and student success; the need for improved standards and greater accountability; and the positive contributions of QI to employee satisfaction and professionalism all warrant a widespread commitment to building greater capacity and capability for QI in college health. This report aims to inspire, motivate, and challenge college health professionals and their colleagues, campus leaders, and national entities to take both immediate and sustainable steps to bring QI to the forefront of college health practice – and, by doing so, to elevate care, health, and value of college health as a key pathway to advancing student success.     

The State of Sleep Among College Students at a Large Public University

Abstract

Objective: Data about college student sleep were collected and used to develop an education campaign to improve sleep. Participants: On-campus residents at a large state university were surveyed on 4 occasions, October 2005 to April 2007. Sample size was 675 to 1,823 students. Fall 2005 mean age = 18.5 years, SD = 1.03 (range 18–30) years. Initial survey included 935 males and 1,859 females (2005–2006). Matched pairs data (2006–2007) included 91 males and 107 females. Twenty-six males and 22 females participated in interviews. Methods: A survey administered online included the Pittsburgh Sleep Quality Index, along with an 8-question in-person interview. Results: Poor sleep interacted with academics and mental health, and an education campaign positively affected student sleep. Conclusions: Teaching students how to effectively manage sleep can improve their well-being. Sleep may also be a gateway topic for health care professionals to address sensitive health issues such as depression.     

The Consistent System

The Consistent System (CS) is an interactive computer system for researchers in the behavioral and policy sciences and in fields with similar requirements for data management and statistical analysis. The researcher is not expected to be a programmer. The system offers a wide range of facilities and permits the user to combine them in novel ways. In particular, tools for statistical analysis may be used in combination with a powerful relational subsystem for data base management. This paper gives an overview of the objectives, capabilities, status, and availability of the system.     

An alternative method for global and partial comparison of two diagnostic systems based on ROC curves

In this paper, an alternative method for the comparison of two diagnostic systems based on receiver operating characteristic (ROC) curves is presented. ROC curve analysis is often used as a statistical tool for the evaluation of diagnostic systems. However, in general, the comparison of ROC curves is not straightforward, in particular, when they cross each other. A similar difficulty is also observed in the multi-objective optimization field where sets of solutions defining fronts must be compared with a multi-dimensional space. Thus, the proposed methodology is based on a procedure used to compare the performance of distinct multi-objective optimization algorithms. In general, methods based on the area under the ROC curves are not sensitive to the existence of crossing points between the curves. The new approach can deal with this situation and also allows the comparison of partial portions of ROC curves according to particular values of sensitivity and specificity of practical interest. Simulations results are presented. For illustration purposes, considering real data from newborns with very low birthweight, the new method was applied in order to discriminate the better index for evaluating the risk of death.