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dc.contributor.authorGeller, Jeffrey L.
dc.contributor.authorGrudzinskas, Albert J. Jr.
dc.contributor.authorMcDermeit, Melissa
dc.contributor.authorFisher, William H.
dc.contributor.authorLawlor, Ted
dc.date2022-08-11T08:10:23.000
dc.date.accessioned2022-08-23T17:06:21Z
dc.date.available2022-08-23T17:06:21Z
dc.date.issued1998-09-04
dc.date.submitted2010-11-18
dc.identifier.citationAdm Policy Ment Health. 1998 Jan;25(3):271-85.
dc.identifier.issn0894-587X (Linking)
dc.identifier.pmid9727222
dc.identifier.urihttp://hdl.handle.net/20.500.14038/45073
dc.description.abstractOne 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.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=9727222&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1023/A:1022239322212
dc.subjectAdult
dc.subjectAmbulatory Care
dc.subjectAnalysis of Variance
dc.subjectCommitment of Mentally Ill
dc.subjectFemale
dc.subjectHumans
dc.subjectLength of Stay
dc.subjectMale
dc.subjectMassachusetts
dc.subjectMatched-Pair Analysis
dc.subjectMental Competency
dc.subjectMental Disorders
dc.subjectOutcome Assessment (Health Care)
dc.subjectPatient Admission
dc.subjectProgram Evaluation
dc.subjectQuality of Life
dc.subjectStatistics, Nonparametric
dc.subjectHealth Services Research
dc.subjectMental and Social Health
dc.subjectPsychiatric and Mental Health
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.titleThe efficacy of involuntary outpatient treatment in Massachusetts
dc.typeJournal Article
dc.source.journaltitleAdministration and policy in mental health
dc.source.volume25
dc.source.issue3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_cmhsr/181
dc.identifier.contextkey1648083
html.description.abstract<p>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.</p>
dc.identifier.submissionpathpsych_cmhsr/181
dc.contributor.departmentDepartment of Psychiatry
dc.source.pages271-85


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