title: Identifying multiple recidivists in a state hospital population.
abstract: Of 195 patients admitted to a state hospital over a four-month period, 74 were multiple recidivists. Nearly half of the 195 patients could be assigned to one of six profile subgroups of recidivists described in a previous study. Because of the high rate of medication noncompliance in this state hospital sample (65 percent), noncompliance alone was not an adequate predictor of multiple recidivism. The study found that membership in a profile subgroup coupled with factors related to gender, medication noncompliance, homelessness, and arrest history may be a more useful way of predicting multiple recidivism in samples of newly admitted patients.
authors.affiliation: Community Service, Rockland Psychiatric Center, Orangeburg, NY, USA.
authors.forename: E S
authors.initials: ES
authors.lastname: Casper
mesh_terms: D000328:Adult; D003415:Crime / Q000523:psychology / Q000706:statistics & numerical data; D005260:Female; D005500:Follow-Up Studies; D006703:Ill-Housed Persons / Q000523:psychology; D006778:Hospitals, Psychiatric / Q000706:statistics & numerical data*; D006783:Hospitals, State / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D001523:Mental Disorders / Q000523:psychology / Q000534:rehabilitation*; D010349:Patient Compliance / Q000523:psychology; D010359:Patient Readmission / Q000706:statistics & numerical data*; D012307:Risk Factors