A Systems Analysis of the Case Coordinator Model and an Outcomes Analysis in Supported Employment

Abstract

This study examined a state-operated mental retardation service delivery system and conducted a systems analysis of the case coordinator referral system to determine the characteristics of individuals who were likely to be referred to supported employment. It also performed an outcomes analysis of the system's supported employment program to determine who was likely to be successful in the program. This examination was conducted by building prediction models using existing case file information. This study provided some evidence that empirically derived prediction models (i.e., logistic and multiple regression) can be a functional evaluation tool for supported employment managers, administrators, and rehabilitation counselors.

Pathways to employment: A national survey of adults with intellectual disabilities

“…It is important to identify these characteristics, because knowing which characteristics are associated with employment can have implications for policy and intervention design. Many personal characteristics have been investigated as predictors of employment, including IQ (Heal & Rusch, 1995), adaptive functioning (McDermott, Martin, & Butkus, 1999), behavior problems (Lemaire & Mallik, 2008), age (Faubion & Andrew, 2000), type of disability (Carter, Trainor, Ditchman, Swedeen, & Owens, 2011), and motivation (Hensel, Kroese, & Rose, 2007). This body of work indicates that higher levels of adaptive functioning, lower levels of behavior problems, and younger age are associated with positive employment outcomes (Lemaire & Mallik, 2008;McDermott et al, 1999;Moran, McDermott, & Butkus, 2001;Pierce, McDermott, & Butkus, 2003).…”