title: The efficacy of involuntary outpatient treatment in Massachusetts.
abstract: One means to address some of the unintended consequences of the shift of treatment for individuals with serious mental illness from hospitals to communities has been involuntary outpatient treatment (IOT). Using Massachusetts data, 19 patients with court orders for IOT were matched to all and to best fits on demographic and clinical variables, and then to individuals with the closest fit on utilization before the IOT date. Outcomes indicated the IOT group had significantly fewer admissions and hospital days after the court order. The full impact of IOT requires more study, particularly directed toward IOT's effects on insight and quality of life.
authors.affiliation: Department of Psychiatry, University of Massachusetts Medical School, Worcester 01655, USA.
authors.forename: J
authors.initials: J
authors.lastname: Geller
authors.forename: A J
authors.initials: AJ
authors.lastname: Grudzinskas
authors.forename: M
authors.initials: M
authors.lastname: McDermeit
authors.forename: W H
authors.initials: WH
authors.lastname: Fisher
authors.forename: T
authors.initials: T
authors.lastname: Lawlor
mesh_terms: D000328:Adult; D000553:Ambulatory Care / Q000331:legislation & jurisprudence / Q000592:standards*; D000704:Analysis of Variance; D003134:Commitment of Persons with Psychiatric Disorders / Q000331:legislation & jurisprudence / Q000592:standards*; D005260:Female; D006801:Humans; D007902:Length of Stay / Q000706:statistics & numerical data; D008297:Male; D008404:Massachusetts; D016555:Matched-Pair Analysis; D016743:Mental Competency / Q000331:legislation & jurisprudence; D001523:Mental Disorders / Q000534:rehabilitation*; D017063:Outcome Assessment, Health Care; D010343:Patient Admission / Q000706:statistics & numerical data; D015397:Program Evaluation; D011788:Quality of Life; D018709:Statistics, Nonparametric