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

Article


Lamsma, J., Yu, R., Fazel, S., van Amelsvoort, T., Bartels-Velthuis, A., Cahn, W., de Haan, L., Schirmbeck, F. and Simons, C. 2022. Validation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders. Scientific Reports. 12 (1). https://doi.org/10.1038/s41598-021-04266-9
TypeArticle
TitleValidation and recalibration of OxMIV in predicting violent behaviour in patients with schizophrenia spectrum disorders
AuthorsLamsma, J., Yu, R., Fazel, S., van Amelsvoort, T., Bartels-Velthuis, A., Cahn, W., de Haan, L., Schirmbeck, F. and Simons, C.
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.

KeywordsHuman behaviour, Psychology
PublisherNature Publishing Group UK
JournalScientific Reports
ISSN2045-2322
Publication dates
Online10 Jan 2022
Print31 Dec 2022
Publication process dates
Deposited11 Jan 2022
Accepted16 Dec 2021
Output statusPublished
Publisher's version
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Copyright Statement

© The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Additional information

Supplementary Information The online version contains supplementary material available at https://doi.org/10.1038/s41598-021-04266-9.

Digital Object Identifier (DOI)https://doi.org/10.1038/s41598-021-04266-9
LanguageEnglish
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