Infusing Integrated Behavioral Health in an MSW Program: Curricula,Field, and Interprofessional Educational Activities

ABSTRACT

An essential aspect of integrated care is the coordination of medical and behavioral health needs concurrently. This has sparked renewed emphasis on interprofessional (IP) education and practice. The impetus for IP efforts was crystalized in large part because of health care reforms, and federal funding to expand the behavioral health work force. Using an ecological systems perspective, this article describes how one school is preparing a new generation of MSW students to work in integrated behavioral health care using a three-pronged approach involving curricula, field education, and IP activities. Social work education must ensure that new and experienced professionals can (a) understand the profession’s role in IP health care settings, and (b) navigate an evolving and complex health care environment.     

The role of goal acceptance in goal setting and task performance

Goal setting has been widely used to enhance work motivation. This paper discusses the importance of goal acceptance in moderating goal setting effects and shows how workers' acceptance of goals can be influenced at various stages of the progression from goal setting to goal attainment. A heuristic organization of goal acceptance strategies is proposed as a basis for extending the theoretical framework underlying goal setting research.     

Estimating operational costs in an electric utility

Generation expansion planning in the electric utility industry requires consideration of uncertainties in both the demand and supply of electric power. The expected demand is usually expressed via a load-duration curve, while, on the supply side, each generating unit has a given nameplate capacity and a predicted reliability. This paper focuses on considerations of the supply-side uncertainties and their effects on estimating operating costs in electric utility planning. However, the methods and analysis developed in this paper may be applicable to a wider class of production planning problems which deal with any nonstorable product with time varying demand. Two methods for estimating the energy generation from each generating unit are compared. The first is the method of probabilistic simulation, while the second involves a heuristic technique usually denoted the derating method. A bias inherent in the derating method is examined by comparing it with a probabilistic simulation method. The bias is examined for various load curve shapes. In certain cases, a closed form expression for the bias is obtained. However, a closed form expression of the bias for an arbitrary load curve is difficult to achieve. In these situations some examples are studied in which the trend of the relative bias among plants in the loading order is examined. Finally, the bias is examined using actual 1977 load and supply data for some New England utilities.