title: Simple algorithms for predicting psychotropic drugs assigned to psychiatric inpatients.
abstract: The ability of simple algorithms, primarily diagnostic, to assign classes of psychotropic drugs to psychiatric inpatients in agreement with actual clinical decisions was investigated. Overall agreement (hit-rates) ranging from 48 to 65 percent were found across four major drug groups: major tranquilizer, antidepressant, minor tranquilizer, and no psychotropic drug. These hit-rates may be compared with multivariate formulae developed in earlier studies that achieved hit-rates ranging from 62 to 77 percent. Agreement among clinicians (about 70 percent) appears to be the limiting factor in most studies of this type.
authors: R C
authors: RC
authors: Evenson
authors: H
authors: H
authors: Altman
authors: D W
authors: DW
authors: Cho
authors: I W
authors: IW
authors: Sletten
mesh_terms: D000465:Algorithms; D014151:Anti-Anxiety Agents / Q000627:therapeutic use; D000928:Antidepressive Agents / Q000627:therapeutic use; D014150:Antipsychotic Agents / Q000627:therapeutic use; D016208:Databases, Factual; D006801:Humans; D007297:Inpatients; D001523:Mental Disorders / Q000175:diagnosis / Q000188:drug therapy*; D011619:Psychotropic Drugs / Q000627:therapeutic use*
chemical_list: D014151:Anti-Anxiety Agents; D000928:Antidepressive Agents; D014150:Antipsychotic Agents; D011619:Psychotropic Drugs