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Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics

BACKGROUND: The aims of the present study were to investigate clinically relevant patient and environment-related predictive factors for threats and violent incidents the first three days in a PICU population based on evaluations done at admittance. METHODS: In 2000 and 2001 all 118 consecutive pati...

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Autores principales: Vaaler, Arne E, Iversen, Valentina C, Morken, Gunnar, Fløvig, John C, Palmstierna, Tom, Linaker, Olav M
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068951/
https://www.ncbi.nlm.nih.gov/pubmed/21418581
http://dx.doi.org/10.1186/1471-244X-11-44
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author Vaaler, Arne E
Iversen, Valentina C
Morken, Gunnar
Fløvig, John C
Palmstierna, Tom
Linaker, Olav M
author_facet Vaaler, Arne E
Iversen, Valentina C
Morken, Gunnar
Fløvig, John C
Palmstierna, Tom
Linaker, Olav M
author_sort Vaaler, Arne E
collection PubMed
description BACKGROUND: The aims of the present study were to investigate clinically relevant patient and environment-related predictive factors for threats and violent incidents the first three days in a PICU population based on evaluations done at admittance. METHODS: In 2000 and 2001 all 118 consecutive patients were assessed at admittance to a Psychiatric Intensive Care Unit (PICU). Patient-related conditions as actuarial data from present admission, global clinical evaluations by physician at admittance and clinical nurses first day, a single rating with an observer rated scale scoring behaviours that predict short-term violence in psychiatric inpatients (The Brøset Violence Checklist (BVC)) at admittance, and environment-related conditions as use of segregation or not were related to the outcome measure Staff Observation Aggression Scale-Revised (SOAS-R). A multiple logistic regression analysis with SOAS-R as outcome variable was performed. RESULTS: The global clinical evaluations and the BVC were effective and more suitable than actuarial data in predicting short-term aggression. The use of segregation reduced the number of SOAS-R incidents. CONCLUSIONS: In a naturalistic group of patients in a PICU segregation of patients lowers the number of aggressive and threatening incidents. Prediction should be based on clinical global judgment, and instruments designed to predict short-term aggression in psychiatric inpatients. TRIAL REGISTRATIONS: NCT00184119/NCT00184132
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spelling pubmed-30689512011-04-01 Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics Vaaler, Arne E Iversen, Valentina C Morken, Gunnar Fløvig, John C Palmstierna, Tom Linaker, Olav M BMC Psychiatry Research Article BACKGROUND: The aims of the present study were to investigate clinically relevant patient and environment-related predictive factors for threats and violent incidents the first three days in a PICU population based on evaluations done at admittance. METHODS: In 2000 and 2001 all 118 consecutive patients were assessed at admittance to a Psychiatric Intensive Care Unit (PICU). Patient-related conditions as actuarial data from present admission, global clinical evaluations by physician at admittance and clinical nurses first day, a single rating with an observer rated scale scoring behaviours that predict short-term violence in psychiatric inpatients (The Brøset Violence Checklist (BVC)) at admittance, and environment-related conditions as use of segregation or not were related to the outcome measure Staff Observation Aggression Scale-Revised (SOAS-R). A multiple logistic regression analysis with SOAS-R as outcome variable was performed. RESULTS: The global clinical evaluations and the BVC were effective and more suitable than actuarial data in predicting short-term aggression. The use of segregation reduced the number of SOAS-R incidents. CONCLUSIONS: In a naturalistic group of patients in a PICU segregation of patients lowers the number of aggressive and threatening incidents. Prediction should be based on clinical global judgment, and instruments designed to predict short-term aggression in psychiatric inpatients. TRIAL REGISTRATIONS: NCT00184119/NCT00184132 BioMed Central 2011-03-18 /pmc/articles/PMC3068951/ /pubmed/21418581 http://dx.doi.org/10.1186/1471-244X-11-44 Text en Copyright ©2011 Vaaler 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
Vaaler, Arne E
Iversen, Valentina C
Morken, Gunnar
Fløvig, John C
Palmstierna, Tom
Linaker, Olav M
Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics
title Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics
title_full Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics
title_fullStr Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics
title_full_unstemmed Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics
title_short Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics
title_sort short-term prediction of threatening and violent behaviour in an acute psychiatric intensive care unit based on patient and environment characteristics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3068951/
https://www.ncbi.nlm.nih.gov/pubmed/21418581
http://dx.doi.org/10.1186/1471-244X-11-44
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