Literature DB >> 8698955

Clinical versus actuarial predictions of violence of patients with mental illnesses.

W Gardner1, C W Lidz, E P Mulvey, E C Shaw.   

Abstract

This study compared the accuracy of an actuarial procedure for the prediction of community violence by patients with mental illness with the accuracy of clinicians' ratings of concern about patients' violence. Data came from a study in which patients were followed in the community for 6 months after having been seen in a psychiatric emergency room. Accuracy of actuarial prediction was estimated retrospectively, with a statistical correction for capitalization on chance. Actuarial prediction had lower rates of false-positive and false-negative errors than clinical prediction. The seriousness of the violence correctly identified by the actuarial predictor (the true positives) was similar to the seriousness identified by clinicians. Actuarial predictions based only on patients' histories of violence were more accurate than clinical predictions, as were actuarial predictions that did not use information about histories.

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Year:  1996        PMID: 8698955     DOI: 10.1037//0022-006x.64.3.602

Source DB:  PubMed          Journal:  J Consult Clin Psychol        ISSN: 0022-006X


  7 in total

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Review 2.  Improving risk assessment of violence among military veterans: an evidence-based approach for clinical decision-making.

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3.  What variables are associated with an expressed wish to kill a doctor in community and injured patient samples?

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4.  Violence risk: re-defining variables from the first-person perspective.

Authors:  Suzanne Yang; Edward P Mulvey
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5.  Screening for violence risk in military veterans: predictive validity of a brief clinical tool.

Authors:  Eric B Elbogen; Michelle Cueva; H Ryan Wagner; Shoba Sreenivasan; Mira Brancu; Jean C Beckham; Lynn Van Male
Journal:  Am J Psychiatry       Date:  2014-07       Impact factor: 18.112

6.  Predictors of psychiatric hospitalization during 6 months of maintenance treatment with olanzapine long-acting injection: post hoc analysis of a randomized, double-blind study.

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7.  Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

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  7 in total

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