Statistical modeling of clinical intake decisions

Abstract

Modeled the intake decisions of four clinicians and a group of clinicians at a community mental health center by principal components-discriminant function analysis. The models of two clinicians and the group-based models withstood replication by the jackknife technique of discriminant analysis. Results showed that clinicians' written notes can be used to predict their decisions. We learned, for example, that the cues that are most important in arriving at intake decisions were therapy history, interview site, level of functioning, diagnosis, and behavioral disturbance.