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Prediction of Violent Incidents With Psychotic and Impulsive Proximal Causes: Implementation of Dynamic Appraisal of Situational Aggression in a Czech Psychiatric Intensive Care Unit.

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Title: Prediction of Violent Incidents With Psychotic and Impulsive Proximal Causes: Implementation of Dynamic Appraisal of Situational Aggression in a Czech Psychiatric Intensive Care Unit.
Authors: Páv, Marek (AUTHOR), Michalec, Jiří (AUTHOR), Jirmus, Aleš (AUTHOR), Vevera, Jan (AUTHOR), Děchtěrenko, Filip (AUTHOR), Adam, David (AUTHOR), Anders, Martin (AUTHOR), Pekara, Jaroslav (AUTHOR), Sampaio, Francisco (AUTHOR)
Source: Perspectives in Psychiatric Care. 4/29/2026, Vol. 2026, p1-11. 11p.
Subjects: Risk of violence, Risk assessment, Cross-sectional method, Statistical correlation, Prediction models, Research funding, Violence, Patients, Receiver operating characteristic curves, Data analysis, Research methodology evaluation, Hospital admission & discharge, Interviewing, Logistic regression analysis, Descriptive statistics, Aggression (Psychology), Intensive care units, Research methodology, Research, Statistics, Psychiatric hospitals, Psychopharmacology, Confidence intervals, Predictive validity, Evaluation
Geographic Terms: Czech Republic
Abstract: Psychiatric intensive care units provide care for mental health patients in psychiatric crises, often involving violent behaviour. This study aimed to examine the ability of the Dynamic Appraisal of Situational Aggression (DASA) to predict violent acts of different proximal causes in patients. We collected 2467 DASA predictions from 352 patients who had committed 366 violent incidents. All incidents were recorded using a Modified Overt Aggression Scale (MOAS). Receiver operating characteristic (ROC) curve analysis was used to assess the DASA predictive values. DASA demonstrated an overall area under the curve (AUC) of 0.76 (95% confidence interval [CI] [0.72, 0.79]), with similar values for impulsive (AUC = 0.75, 95% CI [0.70, 0.81]) and psychotic (AUC = 0.75, 95% CI [0.70, 0.79]) aetiologies. Notably, the AUC for females was 0.80 (95% CI [0.75, 0.86]), indicating a particularly high predictive validity for women. We also observed that higher DASA scores predict higher incident severity assessed by MOAS scores (Spearman's ρ = 0.13, p = 0.03). Most employed nursing interventions included de‐escalation techniques (18%) and one‐to‐one nursing. In patients with high‐risk scores, interventions also involved psychopharmacological or even coercive methods. The DASA shows satisfactory predictive validity for both psychotic and impulsive aetiological incidents and demonstrates better predictive validity for women. This study evaluated the predictive validity of DASA for different types of violent acts (psychotic, impulsive and predatory) in both sexes and implemented a set of corresponding interventions. These interventions should be customised to address the specific risk factors in each patient. [ABSTRACT FROM AUTHOR]
Copyright of Perspectives in Psychiatric Care is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Prediction of Violent Incidents With Psychotic and Impulsive Proximal Causes: Implementation of Dynamic Appraisal of Situational Aggression in a Czech Psychiatric Intensive Care Unit.
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  Data: <searchLink fieldCode="JN" term="%22Perspectives+in+Psychiatric+Care%22">Perspectives in Psychiatric Care</searchLink>. 4/29/2026, Vol. 2026, p1-11. 11p.
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  Data: Psychiatric intensive care units provide care for mental health patients in psychiatric crises, often involving violent behaviour. This study aimed to examine the ability of the Dynamic Appraisal of Situational Aggression (DASA) to predict violent acts of different proximal causes in patients. We collected 2467 DASA predictions from 352 patients who had committed 366 violent incidents. All incidents were recorded using a Modified Overt Aggression Scale (MOAS). Receiver operating characteristic (ROC) curve analysis was used to assess the DASA predictive values. DASA demonstrated an overall area under the curve (AUC) of 0.76 (95% confidence interval [CI] [0.72, 0.79]), with similar values for impulsive (AUC = 0.75, 95% CI [0.70, 0.81]) and psychotic (AUC = 0.75, 95% CI [0.70, 0.79]) aetiologies. Notably, the AUC for females was 0.80 (95% CI [0.75, 0.86]), indicating a particularly high predictive validity for women. We also observed that higher DASA scores predict higher incident severity assessed by MOAS scores (Spearman's ρ = 0.13, p = 0.03). Most employed nursing interventions included de‐escalation techniques (18%) and one‐to‐one nursing. In patients with high‐risk scores, interventions also involved psychopharmacological or even coercive methods. The DASA shows satisfactory predictive validity for both psychotic and impulsive aetiological incidents and demonstrates better predictive validity for women. This study evaluated the predictive validity of DASA for different types of violent acts (psychotic, impulsive and predatory) in both sexes and implemented a set of corresponding interventions. These interventions should be customised to address the specific risk factors in each patient. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Perspectives in Psychiatric Care is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1155/ppc/3264112
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1
    Subjects:
      – SubjectFull: Risk of violence
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Statistical correlation
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Violence
        Type: general
      – SubjectFull: Patients
        Type: general
      – SubjectFull: Receiver operating characteristic curves
        Type: general
      – SubjectFull: Data analysis
        Type: general
      – SubjectFull: Research methodology evaluation
        Type: general
      – SubjectFull: Hospital admission & discharge
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Aggression (Psychology)
        Type: general
      – SubjectFull: Intensive care units
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      – SubjectFull: Research methodology
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      – SubjectFull: Research
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      – SubjectFull: Statistics
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      – SubjectFull: Psychiatric hospitals
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      – SubjectFull: Psychopharmacology
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      – SubjectFull: Confidence intervals
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      – SubjectFull: Predictive validity
        Type: general
      – SubjectFull: Evaluation
        Type: general
      – SubjectFull: Czech Republic
        Type: general
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              Text: 4/29/2026
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