Risk and protective factors in risk assessment: Predicting inpatient aggression in adult males detained in a forensic mental health setting.

Structured clinical risk assessments represent a preferred means of assessing levels of aggression risk at different times and in different individuals. Increasing attention has been given to capturing protective factors, with sound risk assessment critical to high-secure forensic mental health care. The aim was to assess the predictive value of the HCR-20v3 for aggression risk and the long-term care pilot version of the SAPROF (the SAPROF-LC-pilot) in a high-secure forensic mental health inpatient population and to determine the incremental value of protective over risk factors. Participants were adult males detained in a high secure forensic mental health service, with a primary diagnosis of schizophrenia and/or personality disorder. The focus was on examining hospital based aggression (self- and other-directed) at two time points; up to 6 months (T1) and between 7 and 12 months (T2). The HCR-20V3 and SAPROF-LC-pilot demonstrated good predictive validity but with variability across subscales and aggression types/periods. Historical factors of the HCR-20V3 and External factors of the SAPROF-LC-pilot failed to predict, aside from a medium effect at T1 for verbal aggression and self-harm, for Historical factors. There was evidence for protective factors adding to prediction over risk factors alone, with the integration of protective and risk factors into a risk judgement particularly helpful in improving prediction accuracy. Protective factors contributed to risk estimates and particularly if integrated with risk factors. Combining risk and protective factors has clear predictive advantages, ensuring that protective factors are not supplementary but important to the aggression assessment process.

Application of Facial Expression Analysis Technology in Violence Risk Assessment of Individuals with Mental Disorders in Supervised Settings.

OBJECTIVES: To explore the association between violent behaviors and emotions in individuals with mental disorders, to evaluate the application value of facial expression analysis technology in violence risk assessment of individuals with mental disorders in supervised settings, and to provide a reference for violence risk assessment. METHODS: Thirty-nine male individuals with mental disorders in supervised settings were selected, the participant risk of violence, cognitive function, psychiatric symptoms and severity were assessed using the Modified Overt Aggression Scale (MOAS), the Historical, Clinical, Risk Management-Chinese version(HCR-CV), the Positive and Negative Syndrome Scale (PANSS) and the Brief Psychiatric Rating Scale (BPRS). An emotional arousal was performed on the participants and the intensity of their emotions and facial expression action units was recorded before, during and after the arousal. One-way analysis of variance (ANOVA) was used to compare the differences in the intensity of emotions and facial expression action units before, during and after the arousal. Pearson correlation analysis was used to calculate the correlations between the intensity of the seven basic emotional facial expressions and the scores of the assessment scales. RESULTS: The intensity difference of sadness, surprise and fear in different time periods was statistically significant (P<0.05). The intensity of the left medial eyebrow lift action unit was found significantly different before and after the emotional arousal (P<0.05). The intensity of anger was positively correlated with the Modified Overt Aggression Scale score throughout the experiment (P<0.05). CONCLUSIONS: Eye action units such as eyebrow lifting, eyelid tightening and upper eyelid lifting can be used as effective action units to identify sadness, anger and other negative emotions associated with violent behaviors. Facial expression analysis technology can be used as an auxiliary tool to assess the potential risk of violence in individuals with mental disorders in supervised settings.

The violence profile of male mentally disordered offenders in a high secure unit in Turkiye.

Our knowledge of the severity and reoffending is limited for mentally disordered offenders, and studies generally evaluate without separation between different diagnostic groups. It was aimed to determine the general profile of mentally disordered offenders who are inpatients in a high secure psychiatry unit from Turkiye and to evaluate the factors associated with violence profiles among different diagnostic groups. According to the results the schizophrenia patients committed the most severe crimes, and intellectual disability patients had some different features from schizophrenia and bipolar disorder patients. History of substance misuse in the intellectual disability group (p = 0,045) and comorbid antisocial personality disorder in the bipolar disorder group (p = 0,015) were associated with increased crime severity. Substance misuse history, history of substance use during the crime, and the existence of comorbid antisocial personality disorder were associated with increased offenses in each of the three diagnosis groups. Living alone (p = 0,004) and having a suicide history (p= 0,052) were associated with the high number of offenses in the schizophrenia group. This study is the first study that compares three diagnostic groups to involve a large patient group. We believe that clinicians must evaluate these parameters for the violence risk assessment of patients.