Literature DB >> 35013451

Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders.

Jelle Lamsma1,2, Rongqin Yu3, Seena Fazel4.   

Abstract

Oxford Mental Illness and Violence (OxMIV) addresses the need in mental health services for a scalable, transparent and valid tool to predict violent behaviour in patients with severe mental illness. However, external validations are lacking. Therefore, we have used a Dutch sample of general psychiatric patients with schizophrenia spectrum disorders (N = 637) to evaluate the performance of OxMIV in predicting interpersonal violence over 3 years. The predictors and outcome were measured with standardized instruments and multiple sources of information. Patients were mostly male (n = 493, 77%) and, on average, 27 (SD = 7) years old. The outcome rate was 9% (n = 59). Discrimination, as measured by the area under the curve, was moderate at 0.67 (95% confidence interval 0.61-0.73). Calibration-in-the-large was adequate, with a ratio between predicted and observed events of 1.2 and a Brier score of 0.09. At the individual level, risks were systematically underestimated in the original model, which was remedied by recalibrating the intercept and slope of the model. Probability scores generated by the recalibrated model can be used as an adjunct to clinical decision-making in Dutch mental health services.
© 2022. The Author(s).

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Year:  2022        PMID: 35013451      PMCID: PMC8748785          DOI: 10.1038/s41598-021-04266-9

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  17 in total

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4.  Identification of low risk of violent crime in severe mental illness with a clinical prediction tool (Oxford Mental Illness and Violence tool [OxMIV]): a derivation and validation study.

Authors:  Seena Fazel; Achim Wolf; Henrik Larsson; Paul Lichtenstein; Susan Mallett; Thomas R Fanshawe
Journal:  Lancet Psychiatry       Date:  2017-05-04       Impact factor: 27.083

5.  Missing data and multiple imputation in clinical epidemiological research.

Authors:  Alma B Pedersen; Ellen M Mikkelsen; Deirdre Cronin-Fenton; Nickolaj R Kristensen; Tra My Pham; Lars Pedersen; Irene Petersen
Journal:  Clin Epidemiol       Date:  2017-03-15       Impact factor: 4.790

6.  Identifying Violent Behavior Using the Oxford Mental Illness and Violence Tool in a Psychiatric Ward of a German Prison Hospital.

Authors:  Vincent Negatsch; Alexander Voulgaris; Peter Seidel; Robert Roehle; Annette Opitz-Welke
Journal:  Front Psychiatry       Date:  2019-04-23       Impact factor: 4.157

7.  The economic impact of violence perpetration in severe mental illness: a retrospective, prevalence-based analysis in England and Wales.

Authors:  Morwenna Senior; Seena Fazel; Apostolos Tsiachristas
Journal:  Lancet Public Health       Date:  2020-02

8.  Handling missing predictor values when validating and applying a prediction model to new patients.

Authors:  Jeroen Hoogland; Marit van Barreveld; Thomas P A Debray; Johannes B Reitsma; Tom E Verstraelen; Marcel G W Dijkgraaf; Aeilko H Zwinderman
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9.  Use of illicit substances and violent behaviour in psychotic disorders: two nationwide case-control studies and meta-analyses.

Authors:  Jelle Lamsma; Wiepke Cahn; Seena Fazel
Journal:  Psychol Med       Date:  2019-08-29       Impact factor: 7.723

10.  Risk assessment tools in criminal justice and forensic psychiatry: The need for better data.

Authors:  T Douglas; J Pugh; I Singh; J Savulescu; S Fazel
Journal:  Eur Psychiatry       Date:  2016-12-28       Impact factor: 5.361

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  1 in total

1.  Evaluating the Risk of Suicide and Violence in Severe Mental Illness: A Feasibility Study of Two Risk Assessment Tools (OxMIS and OxMIV) in General Psychiatric Settings.

Authors:  Gabrielle Beaudry; Manuel Canal-Rivero; Jianjun Ou; Jaskiran Matharu; Seena Fazel; Rongqin Yu
Journal:  Front Psychiatry       Date:  2022-06-30       Impact factor: 5.435

  1 in total

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