Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders
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 psychia...
| Auteurs principaux: | , , , , , , , , |
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| Autres auteurs: | |
| Format: | Journal article |
| Langue: | English |
| Publié: |
Springer Nature
2022
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| _version_ | 1826302281346187264 |
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| author | Lamsma, J Yu, R Fazel, S van Amelsvoort, T Bartels-Velthuis, A Cahn, W de Haan, L Schirmbeck, F Simons, C |
| author2 | Genetic Risk and Outcome of Psychosis (GROUP) Investigators |
| author_facet | Genetic Risk and Outcome of Psychosis (GROUP) Investigators Lamsma, J Yu, R Fazel, S van Amelsvoort, T Bartels-Velthuis, A Cahn, W de Haan, L Schirmbeck, F Simons, C |
| author_sort | Lamsma, J |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T05:45:12Z |
| format | Journal article |
| id | oxford-uuid:e6ff9df1-6226-4b23-bded-bdc07487f55e |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T05:45:12Z |
| publishDate | 2022 |
| publisher | Springer Nature |
| record_format | dspace |
| spelling | oxford-uuid:e6ff9df1-6226-4b23-bded-bdc07487f55e2022-03-27T10:35:07ZValidation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disordersJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:e6ff9df1-6226-4b23-bded-bdc07487f55eEnglishSymplectic ElementsSpringer Nature2022Lamsma, JYu, RFazel, Svan Amelsvoort, TBartels-Velthuis, ACahn, Wde Haan, LSchirmbeck, FSimons, CGenetic Risk and Outcome of Psychosis (GROUP) InvestigatorsOxford 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. |
| spellingShingle | Lamsma, J Yu, R Fazel, S van Amelsvoort, T Bartels-Velthuis, A Cahn, W de Haan, L Schirmbeck, F Simons, C Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders |
| title | Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders |
| title_full | Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders |
| title_fullStr | Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders |
| title_full_unstemmed | Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders |
| title_short | Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders |
| title_sort | validation and recalibration of oxmiv in predicting violent behaviour in patients with schizophrenia spectrum disorders |
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