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dc.contributor.authorMonahan, John
dc.contributor.authorSteadman, Henry J.
dc.contributor.authorAppelbaum, Paul S.
dc.contributor.authorRobbins, Pamela Clark
dc.contributor.authorMulvey, Edward P.
dc.contributor.authorSilver, Eric
dc.contributor.authorRoth, Loren H.
dc.contributor.authorGrisso, Thomas
dc.date2022-08-11T08:10:26.000
dc.date.accessioned2022-08-23T17:09:03Z
dc.date.available2022-08-23T17:09:03Z
dc.date.issued2000-05-29
dc.date.submitted2010-09-10
dc.identifier.citationBr J Psychiatry. 2000 Apr;176:312-9.
dc.identifier.issn0007-1250 (Linking)
dc.identifier.pmid10827877
dc.identifier.urihttp://hdl.handle.net/20.500.14038/45727
dc.description.abstractBACKGROUND: A new actuarial method for violence risk assessment--the Iterative Classification Tree (ICT)--has become available. It has a high degree of accuracy but can be time and resource intensive to administer. AIMS: To increase the clinical utility of the ICT method by restricting the risk factors used to generate the actuarial tool to those commonly available in hospital records or capable of being routinely assessed in clinical practice. METHOD: A total of 939 male and female civil psychiatric patients between 18 and 40 years old were assessed on 106 risk factors in the hospital and monitored for violence to others during the first 20 weeks after discharge. RESULTS: The ICT classified 72.6% of the sample as either low risk (less than half of the sample's base rate of violence) or high risk (more than twice the sample's base rate of violence). CONCLUSIONS: A clinically useful actuarial method exists to assist in violence risk assessment.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=10827877&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/http://bjp.rcpsych.org/cgi/reprint/176/4/312
dc.subjectActuarial Analysis
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAlgorithms
dc.subjectFemale
dc.subjectHospitalization
dc.subjectHumans
dc.subjectMale
dc.subjectMental Disorders
dc.subjectRisk Assessment
dc.subjectRisk Factors
dc.subjectViolence
dc.subjectPsychiatry
dc.titleDeveloping a clinically useful actuarial tool for assessing violence risk
dc.typeJournal Article
dc.source.journaltitleThe British journal of psychiatry : the journal of mental science
dc.source.volume176
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_pp/257
dc.identifier.contextkey1550382
html.description.abstract<p>BACKGROUND: A new actuarial method for violence risk assessment--the Iterative Classification Tree (ICT)--has become available. It has a high degree of accuracy but can be time and resource intensive to administer.</p> <p>AIMS: To increase the clinical utility of the ICT method by restricting the risk factors used to generate the actuarial tool to those commonly available in hospital records or capable of being routinely assessed in clinical practice.</p> <p>METHOD: A total of 939 male and female civil psychiatric patients between 18 and 40 years old were assessed on 106 risk factors in the hospital and monitored for violence to others during the first 20 weeks after discharge.</p> <p>RESULTS: The ICT classified 72.6% of the sample as either low risk (less than half of the sample's base rate of violence) or high risk (more than twice the sample's base rate of violence).</p> <p>CONCLUSIONS: A clinically useful actuarial method exists to assist in violence risk assessment.</p>
dc.identifier.submissionpathpsych_pp/257
dc.contributor.departmentDepartment of Psychiatry
dc.source.pages312-9


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