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Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application

BACKGROUND: Patient aggression is a common problem in acute psychiatric wards and calls for preventive measures. The timely use of preventive measures presupposes a preceded risk assessment. The Norwegian Brøset-Violence-Checklist (BVC) is one of the few instruments suited for short-time prediction...

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Autores principales: Abderhalden, Christoph, Needham, Ian, Dassen, Theo, Halfens, Ruud, Haug, Hans-Joachim, Fischer, Joachim
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1459151/
https://www.ncbi.nlm.nih.gov/pubmed/16638122
http://dx.doi.org/10.1186/1471-244X-6-17
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author Abderhalden, Christoph
Needham, Ian
Dassen, Theo
Halfens, Ruud
Haug, Hans-Joachim
Fischer, Joachim
author_facet Abderhalden, Christoph
Needham, Ian
Dassen, Theo
Halfens, Ruud
Haug, Hans-Joachim
Fischer, Joachim
author_sort Abderhalden, Christoph
collection PubMed
description BACKGROUND: Patient aggression is a common problem in acute psychiatric wards and calls for preventive measures. The timely use of preventive measures presupposes a preceded risk assessment. The Norwegian Brøset-Violence-Checklist (BVC) is one of the few instruments suited for short-time prediction of violence of psychiatric inpatients in routine care. Aims of our study were to improve the accuracy of the short-term prediction of violence in acute inpatient settings by combining the Brøset-Violence-Checklist (BVC) with an overall subjective clinical risk-assessment and to test the application of the combined measure in daily practice. METHOD: We conducted a prospective cohort study with two samples of newly admitted psychiatric patients for instrument development (219 patients) and clinical application (300 patients). Risk of physical attacks was assessed by combining the 6-item BVC and a 6-point score derived from a Visual Analog Scale. Incidents were registered with the Staff Observation of Aggression Scale-Revised SOAS-R. Test accuracy was described as the area under the receiver operating characteristic curve (AUC(ROC)). RESULTS: The AUC(ROC )of the new VAS-complemented BVC-version (BVC-VAS) was 0.95 in and 0.89 in the derivation and validation study respectively. CONCLUSION: The BVC-VAS is an easy to use and accurate instrument for systematic short-term prediction of violent attacks in acute psychiatric wards. The inclusion of the VAS-derived data did not change the accuracy of the original BVC.
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spelling pubmed-14591512006-05-11 Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application Abderhalden, Christoph Needham, Ian Dassen, Theo Halfens, Ruud Haug, Hans-Joachim Fischer, Joachim BMC Psychiatry Research Article BACKGROUND: Patient aggression is a common problem in acute psychiatric wards and calls for preventive measures. The timely use of preventive measures presupposes a preceded risk assessment. The Norwegian Brøset-Violence-Checklist (BVC) is one of the few instruments suited for short-time prediction of violence of psychiatric inpatients in routine care. Aims of our study were to improve the accuracy of the short-term prediction of violence in acute inpatient settings by combining the Brøset-Violence-Checklist (BVC) with an overall subjective clinical risk-assessment and to test the application of the combined measure in daily practice. METHOD: We conducted a prospective cohort study with two samples of newly admitted psychiatric patients for instrument development (219 patients) and clinical application (300 patients). Risk of physical attacks was assessed by combining the 6-item BVC and a 6-point score derived from a Visual Analog Scale. Incidents were registered with the Staff Observation of Aggression Scale-Revised SOAS-R. Test accuracy was described as the area under the receiver operating characteristic curve (AUC(ROC)). RESULTS: The AUC(ROC )of the new VAS-complemented BVC-version (BVC-VAS) was 0.95 in and 0.89 in the derivation and validation study respectively. CONCLUSION: The BVC-VAS is an easy to use and accurate instrument for systematic short-term prediction of violent attacks in acute psychiatric wards. The inclusion of the VAS-derived data did not change the accuracy of the original BVC. BioMed Central 2006-04-25 /pmc/articles/PMC1459151/ /pubmed/16638122 http://dx.doi.org/10.1186/1471-244X-6-17 Text en Copyright © 2006 Abderhalden et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Abderhalden, Christoph
Needham, Ian
Dassen, Theo
Halfens, Ruud
Haug, Hans-Joachim
Fischer, Joachim
Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application
title Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application
title_full Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application
title_fullStr Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application
title_full_unstemmed Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application
title_short Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application
title_sort predicting inpatient violence using an extended version of the brøset-violence-checklist: instrument development and clinical application
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1459151/
https://www.ncbi.nlm.nih.gov/pubmed/16638122
http://dx.doi.org/10.1186/1471-244X-6-17
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