Field Instructor Benefits in Education

This article provides a comprehensive overview of benefits awarded to agency-based social work field instructors. Findings from a national survey of undergraduate and graduate social work programs in the United States confirmed differences in the nature of benefits awarded to undergraduate and graduate field instructors. In addition, study findings revealed variations in the pattern of awarded benefits among regions and among schools of varying size. The most frequently awarded benefits included use of the library holdings or equipment, continuing education programs, and official designation as adjunct faculty member. The authors suggest that, given the current economic atmosphere, programs become more creative in their provision of benefits that are attractive but inexpensive. Moreover, the authors recommend that the profession seek to understand better what motivates field instructors.     

Ordinary Least Squares and Sample-Selection Models of Health-Care Demand Monte Carlo Comparison

This article examines alternative econometric models for health-care demand estimation. The analysis compares the Rand Health Insurance Study two-part model with sample-selection model estimators in a Monte Carlo simulation experiment designed to approximate individual-level health-care demand conditions. The underlying variable distributions are taken from cross- sectional data for a Swiss 1981 population survey. Three sets of error distribution assumptions are examined—bivariate normal, normal logistic, and Cauchy. Despite theoretical concerns with the two-part model, it outperforms the sample-selection model in terms of mean squared error of parameter estimate.     

Models and Bounds for Two-Dimensional Level Packing Problems

We consider two-dimensional bin packing and strip packing problems where the items have to be packed by levels. We introduce new mathematical models involving a polynomial number of variables and constraints, and show that their LP relaxations dominate the standard area relaxations. We then propose new (combinatorial) bounds that can be computed in O(nlog n) time. We show that they dominate the other bounds, and establish their absolute worst-case behavior. The quality of models and bounds is evaluated through extensive computational experiments.     

Characteristics related to family involvement in youth residential mental health treatment

This study examined family involvement among youth in residential mental health treatment facilities in Florida. Data were obtained from the provider reports from January 2005 through December 2007. Treatment episodes were divided into 30-day periods with family involvement measured by the number of contacts by all family members, the mother, and the father. In addition, we examined contacts by all family members for in-person treatment, treatment-related phone contacts, treatment planning, campus visits, and therapeutic home passes. Families averaged 3.4 contacts per 30 days for the 1333 treatment episodes. Sixty-seven percent of the contacts included mothers, while 22% of the contacts involved fathers. A majority of contacts were for family therapy, either by phone (29% of contacts) or in person (43%). Nearly twenty percent of residential stays had no family contact. After the first 30 days of treatment, contacts did not vary significantly over the course of the treatment episode, although there was some evidence that youth with longer treatment episodes had fewer contacts throughout the residential stay. Total contacts were lower for girls than boys, for blacks than whites, and for older youth, and were higher when the youth lived in the same county as the residential treatment provider. Outreach programs could target specific demographic groups with low involvement, and the alternative methods for involvement that use internet conferencing tools should be explored for parents that live far from the treatment provider.     

Community health assessment: diagnosis and prescription

Community health assessments are ideally a joint effort by all the major health care providers in the community, working in concert with local government, business, and concerned community groups. A noble activity, no doubt, but clearly a lot of trouble. Physicians, whose potential to contribute to community assessments is obvious, frequently avoid them. Whether in management or clinical practice, they ask: Is this really worth my time? Will it make any difference? Isn't there a better way? But, rightly or wrongly, physicians often have a disproportionate amount of influence on the community assessment process. That influence, whether you attribute it to respect, credibility, or power, adds value to the process. The most important quality the physician brings to the process is genuine concern for his or her patients that generalizes to the health of the entire community.