Identifying Predictors of Inpatient Verbal Aggression in a Forensic Psychiatric Setting Using a Tree-based Modeling Approach

Neumann, Merten; Klatt, Thimna

doi:10.1177/08862605211021972

Cited by 9 publications

(7 citation statements)

References 66 publications

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“…A retrospective study on the characteristics of NCRMD patients in the psychiatric hospitals of France found that the majority of the patients were diagnosed with psychotic disorder (61.8%), and young persons and males were overrepresented [22]. A study [23] in Germany partially supported these findings, in which 92.5% of patients were male with mean age of 39.1 years (SD: 11.5); while in this study the majority of diagnosis were substance use disorder (69.2%), while schizophrenic disorders were 24.2%, which may suggest that the characteristics of forensic patients may differ across jurisdiction.…”

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confidence: 99%

Socio-demographic, clinical and offense-related characteristics of forensic psychiatric inpatients in Hunan, China: a cross-sectional survey

Guo

Zhou

et al. 2023

BMC Psychiatry

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Background There is still a lack of comprehensive research on the profile of patients in forensic mental health hospitals in China. This study aims to investigate the socio-demographic, clinical, and offense-related characteristics of mentally ill offenders in the Hunan Provincial Forensic Psychiatric Hospital in China. Methods This study was conducted from November 1, 2018, to January 30, 2019. The data of socio-demographic, clinical, and offense-related characteristics of the patients were collected. The Brief Psychiatric Rating Scale (BPRS), the Modified Overt Aggression Scale (MOAS), and the Clinical Global Impression-Severity (CGI-S) scale were used to measure their psychiatric conditions. Results A total of 461 participants were enrolled in this study. Among them, 86.3% were males and 56.8% were unmarried; the average age of them was 44.7 ± 10.1 years, and the mean years of education were 7.51 ± 3.3 years. Before their current offense, a total of 345 patients (74.8%) had sought medical help for their mental illnesses. While 303 (87.8%) of these patients were prescribed antipsychotics, 254 (73.6%) failed to take them regularly. Of all the inpatients, 90.5% were diagnosed with schizophrenia; 385 (83.5%) engaged in homicidal offenses, with 54.0% of the victims being their family members. In homicide cases, the relatives were more likely to be victims of female patients. The mean length of stay in the forensic hospital was 8.02 ± 4.74 years, and over 80.0% of the patients had been hospitalized for over 5 years. Conclusions To our knowledge, this is the first study investigating the profile of forensic patients receiving compulsory treatments in a forensic psychiatric hospital in China. These results add to the world literature on the characteristics of forensic patients and can help identify common treatment and risk-related needs of this population.

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confidence: 99%

Socio-demographic, clinical and offense-related characteristics of forensic psychiatric inpatients in Hunan, China: a cross-sectional survey

Guo

Zhou

et al. 2023

BMC Psychiatry

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“…5,6 Core dispositional factors such as personality pathology and other severe psychiatric disturbances directly determine the extent to which patients can achieve such adaptation. [7][8][9][10][11][12][13][14][15][16] However, more contextual factors, such as the institutional climate, have also been proposed. 17 Building on this contextual perspective, in this article we explore whether the therapeutic alliance between forensic patients in long-stay units and their counselors also plays a significant role in the way patients adapt to the institutional context.…”

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confidence: 99%

Good-enough Care? How Patients’ Perceptions of Counselors’ Professional Skills Relate to Everyday Life in Forensic Long-stay Units

Degrauwe,

Dierckx,

Van Bulck

et al. 2024

Journal of Psychiatric Practice

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The overall goal of long-term forensic care is to strive toward acceptable levels of adaptation and quality of life (QoL) of the forensic patient in the institutional context. While the bulk of the literature has focused on the deleterious consequences of personality pathology in this regard, research investigating the contribution of the quality of the therapeutic relationship has remained rather scant. Assuming that the perceived competence of the direct counselor, as perceived by patients, forms an important aspect in this regard, the central aim of this study was to investigate the relationship between patients’ perceptions of their therapist’s professional skills, their self-reported maladaptive behavior on the ward, and their experienced QoL. To this end, we recruited patients (N = 60) in long-stay forensic units and investigated their perceptions of 10 specific skills displayed by their therapist, along a “too little—too much” rating scale. The results revealed that patients who had the overall impression that their counselor was equipped with an adequate set of professional skills showed less maladaptive behavior and perceived a higher QoL on the ward. Conversely, at a more specific competence level, only a positive relationship between a counselor’s predictability and self-reported QoL was found. Taken together, these results highlight that an overall professional skill evaluation matters in the context of forensic patients’ adaptation and QoL in their long-stay units, with the counselor’s predictability serving as a crucial aspect in obtaining the most favorable outcomes.

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“…Recently, there have been applications of decision tree methods in mental health research given it automatizes detection of main effects and interactions [13]. The advantage of using tree-based models in this study is that they can handle complex relationships between predictors and outcomes, such as intricate interaction effects [14]. Additionally, tree-based models provide an interpretable and intuitive visualization method that can be easily communicated to clinicians [14].…”

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confidence: 99%

“…The advantage of using tree-based models in this study is that they can handle complex relationships between predictors and outcomes, such as intricate interaction effects [14]. Additionally, tree-based models provide an interpretable and intuitive visualization method that can be easily communicated to clinicians [14]. By identifying factors that increase an individual's likelihood of having higher levels of trait NA, this study may lead to more targeted interventions aimed at reducing NA and improving mental health outcomes in both depressed and nondepressed adults.…”

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confidence: 99%

Using Tree-Based Models to Identify Factors Contributing to Trait Negative Affect in Adults With and Without Major Depression

Cañizares

Gómez²,

Ferro³

et al. 2023

Preprint

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Background Individuals with high levels of negative affect (NA) are at an increased risk of experiencing distress and negative self-views. Theoretical models suggest that NA plays a critical role in psychopathology, particularly in Major Depressive Disorder (MDD), and is linked to cognitive-perceptual and affective regulation issues. Objective Determine whether maladaptive cognitive schemas, attributional style, childhood adversity, and lifestyle factors (including alcohol and drug use and physical activity) could effectively predict negative affect (NA) in adults. Methods A secondary data analysis was performed on a sample of 342 depressed and non-depressed adults. Beta regression and regression tree analyses were conducted to identify the principal risk factors and their interactions. The regression tree model was trained with 5-fold cross-validation on 75% of the sample, with 25% of observations held for testing. Results The findings revealed that the cognitive schemas of disconnection and rejection and impaired autonomy had a significant impact on the likelihood of higher scores on the State Depression Inventory (IDER) test (p < 0.001), as indicated by both beta regression and regression tree analyses. Additionally, childhood adversity emerged as a crucial factor in determining high levels of NA. The regression tree model achieved strong performance metrics, including an R-squared value of 0.77. Conclusions This study represents a significant step forward in the understanding of NA, as it considers a broad range of individual factors, such as cognitive schemas, lifestyle, and demographics, to predict its impact on NA, with potential implications for prevention programs aimed at reducing NA.

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Identifying Predictors of Inpatient Verbal Aggression in a Forensic Psychiatric Setting Using a Tree-based Modeling Approach

Cited by 9 publications

References 66 publications

Socio-demographic, clinical and offense-related characteristics of forensic psychiatric inpatients in Hunan, China: a cross-sectional survey

Socio-demographic, clinical and offense-related characteristics of forensic psychiatric inpatients in Hunan, China: a cross-sectional survey

Good-enough Care? How Patients’ Perceptions of Counselors’ Professional Skills Relate to Everyday Life in Forensic Long-stay Units

Using Tree-Based Models to Identify Factors Contributing to Trait Negative Affect in Adults With and Without Major Depression

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