Transgressive incidents targeted on staff in forensic psychiatric healthcare: a latent class analysis.

Transgressive incidents directed at staff by forensic patients occur frequently, leading to detrimental psychological and physical harm, underscoring urgency of preventive measures. These incidents, emerging within therapeutic relationships, involve complex interactions between patient and staff behavior. This study aims to identify clusters of transgressive incidents based on incident characteristics such as impact, severity, (presumed) cause, type of aggression, and consequences, using latent class analysis (LCA). Additionally, variations in incident clusters based on staff, patient, and context characteristics were investigated. A total of 1,184 transgressive incidents, reported by staff and targeted at staff by patients between 2018-2022, were extracted from a digital incident reporting system at Fivoor, a Dutch forensic psychiatric healthcare organisation. Latent Class Analysis revealed six incident classes: 1) verbal aggression with low impact; 2) verbal aggression with medium impact; 3) physical aggression with medium impact; 4) verbal menacing/aggression with medium impact; 5) physical aggression with high impact; and 6) verbal and physical menacing/aggression with high impact. Significant differences in age and gender of both staff and patients, staff function, and patient diagnoses were observed among these classes. Incidents with higher impact were more prevalent in high security clinics, while lower-impact incidents were more common in clinics for patients with intellectual disabilities. Despite limitations like missing information, tailored prevention approaches are needed due to varying types of transgressive incidents across patients, staff, and units.

Virtual reality aggression prevention treatment in a Dutch prison-based population: a pilot study.

Background: Treating violent behavior in prisons comes with challenges, such as the inability to practice safely with triggering situations and motivational issues. A solution may be the use of Virtual Reality (VR). With VR, specific conditions or needs can be tailored for individual practice, it can enhance motivation and VR has proven to be a safe and effective tool in mental health treatment. Objective: A pilot study was conducted to test the acceptability, feasibility, and preliminary effects of VR Aggression Prevention Treatment (VRAPT) in a prison-based population. Methods: In total 17 detainees with aggressive behavior were included in this single-group pilot study. Acceptability and feasibility were assessed using qualitative measures for participants and therapists. Preliminary treatment effects were measured with self-report and observational measures on aggression, anger, emotion regulation, and impulsiveness. Results: Participants and therapists were predominantly positive about VRAPT. Participants rated the sessions with an average satisfaction score of 9.2 out of 10 (SD = 0.3). Qualitative data showed that participants reported having learned to respond more adequately to aggressive behavior and gained insights into their own and others' triggers and tension. The combination of VR and theory was experienced as a strength of the treatment, as well as the ability to trigger aggression in VR which provided insights into aggression. However, the theoretical framework was found to be too complex, and more aggressive and personal scenarios should be incorporated into the sessions. Self-reported aggression, anger, provocation, emotion regulation, and observed verbal aggression decreased and seemed to stabilize after the treatment ended, with small to medium effect sizes. Conclusion: VRAPT proved feasible and acceptable for most participants and therapists. An adapted treatment protocol called Virtual Reality Treatment for Aggression Control (VR-TrAC), will be used in a future RCT to investigate the effects of the treatment in a prison-based population.

Radicalization Processes and Transitional Phases in Female and Male Detainees Residing in Dutch Terrorism Wings.

BACKGROUND: Radicalization, violent extremism, and terrorism are risks to societal security. Although research on terrorism-related behaviors is increasing, thorough empirical studies are rare. METHODS: This study investigates radicalization processes and transitions in a matched sample of female and male terrorist suspects and convicts (N = 26) residing in Dutch penitentiary terrorism wings. RESULTS: Results show that both men and women often experienced discrimination. A subgroup of women grew up in a stressful family environment and lacked emotional support from their family, whereas the other women did not experience such circumstances. The majority of the study sample was susceptible to connecting with radicalized friends or family members. Interestingly, factors that initially led to radicalization (e.g., a utopian image of the Islamic State) could later turn out to be factors associated with abandoning extremism. CONCLUSIONS: In this study, differences in radicalization processes and transitional phases between women and men emerged. Men more often had police contact prior to a terrorism-related offense. Making an effort to right old mistakes seemed important in the radicalization processes of men, whereas women had a stronger desire for emotional support and were more driven by experienced trauma and feelings of loneliness. This study provides input for gender-specific prevention and disengagement interventions.

Predictive validity on clinical item-level of the HKT-R divided into clinical patient classes.

BACKGROUND: Because of the heterogeneity of forensic groups, latent class analysis (LCA) can allow for the formation of stronger homogeneous patient classes, which can improve the predictive validity of forensic risk assessment tools, such as the Historical Clinical Future - Revised (HKT-R), which was used in this study. In particular, dynamic clinical risk and protective items are important in treatment and are obligatory assessed annually for every forensic patient with a TBS measure in the Netherlands. Therefore, this study investigated the predictive validity of the HKT-R at clinical item-level per patient class. METHOD: A cohort of 332 forensic patients, who were discharged from highly secured Forensic Psychiatric Centers/Clinics (FPCs) in the Netherlands between 2004 and 2008, was followed. LCA was performed to cluster this group of patients based on psychopathology and criminal offenses. The predictive validity of the HKT-R clinical items by class was assessed with official reconviction data two and five years after discharge as outcome measure. RESULTS: Four classes were identified. The predictive validity of the HKT-R clinical items showed differences between and within classes on admission or discharge, and for predicting violent reoffending after two or five years after discharge. DISCUSSION: Different risk/protective factors of the HKT-R may play a role for different subgroups of patients. Therefore, this heterogeneity should be considered for any measure or intervention.

Understanding Violent Extremism: Identifying Motivational Classes in Male Jihadist Detainees.

An important step in understanding violent extremist behavior is to identify its underlying motivations. Insights into what drives violent extremists to their behavior may indicate what is needed to reduce existing risk factors. To this end, this study investigated violent extremist motivations in 124 male jihadi suspects and convicts residing in Dutch prison terrorism wings. A Latent Class Analysis resulted in three motivation profiles. The low motivated class scored in general low on risk and motivational indicators of violent extremism. The morally driven class adhered to an ideology justifying violence, experienced some degree of grievances but often saw limitations in the use of violence to achieve ideological goals. The hardened ideologically driven class had an ideology justifying violence, feelings of frustrations and criminal history of violence. This descriptive study provides an important stepping-stone for future studies on how motivation profiles can be used to reduce the risk of violent extremist (re)offending.

EEG study on implicit beliefs regarding sexuality: Psychophysiological measures in relation to self-report measures.

In this exploratory, correlational study, several psychophysiological measures were assessed and the relation between these measures and an experimental self-report questionnaire to measure the seven implicit beliefs of sexual offenders (the Questionnaire for Implicit Theories of Sexual Offenders (QITSO)) was established in a sample of Dutch participants recruited from the healthy population (N = 28) using correlational analyses. After analyzing task performance, electroencephalogram (EEG) data and electrocardiogram (ECG) data, the psychophysiological variables were correlated with the experimental QITSO subscales. The subscale "children as sexual beings" correlated positively with the P300 amplitude at electrode Pz. The subscale "women are unknowable" correlated positively with resting-state beta activity during eyes closed and eyes open, and with alpha activity during eyes open. Additionally, the subscale "entitlement' correlated positively with low frequency heart rate variability power during eyes closed and eyes open, and with high frequency power during eyes closed. This study is a first exploratory step towards establishing a psychophysiological profile underlying the self-report questionnaire QITSO.

We Don't Choose Whom We Love: Predictors for Romantic Attraction to Villains.

Introduction: Why are women (not) romantically attracted to dark personalities or villains, which might be a risk factor for intimate partner violence (IPV) victimization? In the current study, it is opted to investigate how adult attachment, maladaptive personality traits, and acceptance of couple violence in women predict romantic attraction to heroic/villainous characters using structural equation modeling (SEM). Method: First, a pilot study was conducted in 122 heterosexual women (aged 16-25) to select male TV characters. This resulted in the selection of six villains and 10 heroes for the main study, in which 194 other heterosexual women (aged 16-25) were asked to rate the pictures of TV characters through an online questionnaire. This was combined with self-report measures of maladaptive personality traits, acceptance of couple violence, and adult attachment. These variables were entered into a SEM model to assess model fit. Results: Overall, women rated heroes higher on physical appearance (pilot study) and romantic attraction (main study) compared to villains. We found different direct effects of avoidant (negative) and anxious (positive) attachment styles on romantic attraction to heroes. Moreover, maladaptive personality traits fully mediated the positive effect of avoidant attachment style on romantic attraction to villains. Discussion: Despite the limitations of the study design (e.g., low N, low notoriety of the TV characters), this study emphasizes that women are generally more romantically attracted to heroes (vs. villains). Besides, there are different predictors of romantic attraction to heroes and villains, which requires further investigation, especially in the context of IPV.

The Role of Dynamic Risk and Protective Factors in Predicting Violent Recidivism: Intellectual Ability as a Possible Moderator?

This study investigated which risk and protective factors, based on the 14 clinical indicators of the Historical-Clinical-Future Revised, significantly predicted violent recidivism in a sample of 315 male forensic psychiatric patients. Additionally, it was investigated whether these associations were moderated by intellectual ability. Regarding risk factors, a stronger influence of risky network members, and higher levels of hostility, impulsivity, and addiction significantly predicted violent recidivism. Likewise, regarding protective factors, poorer social and labor skills, and a lower degree of patient's acceptance of crime responsibility were significant predictors of violent recidivism. Contrary to our expectations, better coping skills and more insight into risky behaviors that can lead to relapse also contributed significantly to an increased likelihood of violent recidivism. Intellectual ability had no significant moderating effect on the associations between the factors and violent recidivism. The results offer an insight into which factors need to be prioritized during treatment.

The Long-Term Changes in Dynamic Risk and Protective Factors Over Time in a Nationwide Sample of Dutch Forensic Psychiatric Patients.

The long-term changes of dynamic risk and protective factors have rarely been studied in forensic psychiatric patients. We utilized a latent growth curve analysis to investigate trajectories of risk and protective factors over time in all 722 male forensic psychiatric patients who were unconditionally released between 2004 and 2014 from any of 12 Dutch forensic psychiatric centers (FPCs). The study covered the period from juridical observation until unconditional release. Moreover, we investigated whether these trajectories differ between patients depending on their psychiatric diagnosis namely substance use disorders (SUD), psychotic disorders, and cluster B personality disorders (PDs). In addition, we also investigated whether SUD may influence changes in risk and protective factors in a group of psychotic and cluster B PDs patients, respectively. Overall, findings suggest that all changes in dynamic risk and protective factors could be depicted by two phases of patients' stay in the FPCs. Specifically, most changes on dynamic risk and protective factors occurred at the beginning of treatment, that is, from the time of juridical assessment up to the time of unguided leave. Moreover, the moment of unguided leave could be considered the 'turning point' in the treatment of offenders. We also found that SUD and psychotic patients changed the most in the first phase of their stay, while cluster B PDs patients changed the most in the second phase. However, SUD did not modify changes in risk and protective factors in psychotic and cluster B PDs patients. These findings may help improve offender treatment and crime prevention strategies.

A Latent Class Analysis of Forensic Psychiatric Patients in Relation to Risk and Protective Factors.

Forensic psychiatric patients form a very heterogeneous population regarding psychopathology, criminal history, and risk factors for reoffending. Therefore, the present study aimed to investigate whether there are more homogeneous classes of forensic patients based on DSM-IV-TR Axis I and II diagnoses and previously committed offenses, by means of explorative latent class analysis (LCA). It was also investigated which risk and protective factors are significantly more prevalent in one class compared to other classes. The study sample contained 722 male forensic psychiatric patients who were unconditionally released between 2004 and 2014 from high-security forensic clinics. Data were retrospectively derived from electronic patient files. Five distinctive patient classes emerged: class with only Axis II diagnosis, class with multiple problems, antisocial class, psychotic class, and intellectually disabled class. These classes differed significantly in risk and protective factors. This study contributes to the understanding of patient classes and provides directions for future, class-tailored interventions.

Associations Between Resilience, Psychological Well-Being, Work-Related Stress and Covid-19 Fear in Forensic Healthcare Workers Using a Network Analysis.

Forensic healthcare workers deal with patients with severe psychiatric and behavioral problems that put them at an increased risk of developing work-related stress and burnout. Working with this target group of patients during the Coronavirus disease 2019 (Covid-19) pandemic with far-reaching restrictive measures can negatively affect the psychological well-being of forensic workers. Research suggests that resilience can buffer workplace stress and contribute positively to psychological well-being. However, research on resilience, psychological well-being and work-related stress among forensic healthcare workers is still lacking. Therefore, in this study, we investigated the interrelations between psychological well-being and resilience on the one hand and work-related stress and Covid-19 fear-related symptoms on the other hand. Self-report data were obtained from 318 healthcare workers (73.9% women) working in three Forensic Psychiatric Centers (M age = 44.20, SD = 14.31) and are in direct contact with forensic patients. The data were analyzed using network analysis. Consistent with previous research, the results showed that workplace stress and fear associated with the Covid-19 pandemic can be detrimental to workers' psychological well-being, while resilience can serve as a protective factor against being personally attacked or threatened by patients at the workplace. Last but not least, we identified highly central symptoms, namely tremors due to the fear of the coronavirus and anxiety when other people coughing, which would be the best candidates for future treatment targets. This knowledge can help clinicians optimize interventions to reduce workplace stress and fear due to the pandemic. Future studies should aim to replicate our findings in a larger and more representative sample of forensic healthcare workers.

Screening for intellectual disability in Dutch psychiatrically disturbed detainees: Assessing the psychometric properties of the Screener for Intelligence and Learning Disability (SCIL).

INTRODUCTION: Intellectual disability is a key subject in all mental healthcare institutions, including the forensic mental health services. The Screener for Intelligence and Learning Disability (SCIL) is designed to screen for intellectual disability in forensic populations. So far, this assessment method is only validated in "detention fit prisoners" with low need of care. The aim of the present study was to investigate the psychometric properties of the SCIL in a population of mentally ill detainees with high need of care. MATERIALS AND METHODS: Screener for Intelligence and Learning Disability scores, mental health reports including intelligence assessment, and criminal records of detainees were obtained. Reliability and validity of the SCIL were calculated, using the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) and prior studies of the SCIL as a reference. RESULTS: Cronbach's alpha coefficient for the total SCIL was 0.72. The area under the receiver operating characteristics (ROC) curve was 0.84. Different cut-off values than the original were determined when achieving the optimum in true positives and negatives. The mean intelligence quotient (IQ) score of the study population was 82.6, and 60.3% could be classified with an IQ < 85. DISCUSSION: The SCIL gives a quick and accurate indication of whether a person is at risk for intellectual disabilities. Although both the reliability and validity of the SCIL are lower in the study population than in regular prison populations, for application of the SCIL in mentally ill detainees all psychometric properties could be classified as acceptable. When assessing the latter populations, it is recommended to use a cut-off value of 20.5 instead of the original 19.5. Additionally, it is advised to revise item 4. Finally, it is important to mention that the estimated prevalence of intellectual disability is the forensic population seems to be larger than expected.

Longitudinal Network Structure and Changes of Clinical Risk and Protective Factors in a Nationwide Sample of Forensic Psychiatric Patients.

In this study, we investigated network configurations of 14 Clinical risk and protective factors in a sample of 317 male forensic psychiatric patients across two time points: at the time of admission to the forensic psychiatric centers (T1) and at the time of unconditional release (T2). In terms of network structure, the strongest risk edge was between "hostility-violation of terms" at T1, and between "hostility-impulsivity" at T2. "Problem insight-crime responsibility" was the strongest protective edge, and "impulsivity-coping skills" was the strongest between-cluster edge, at both time points, respectively. In terms of strength centrality, "cooperation with treatment" had the highest strength centrality at both measurement occasions. This study expands the risk assessment field toward a better understanding of dynamic relationships between individual clinical risk and protective factors and points to the highly central risk and protective factors, which would be the best for future treatment targets.

Perceiving the evil eye: Investigating hostile interpretation of ambiguous facial emotional expression in violent and non-violent offenders.

Research into the causal and perpetuating factors influencing aggression has partly focused on the general tendency of aggression-prone individuals to infer hostile intent in others, even in ambiguous circumstances. This is referred to as the 'hostile interpretation bias'. Whether this hostile interpretation bias also exists in basal information processing, such as perception of facial emotion, is not yet known, especially with respect to the perception of ambiguous expressions. In addition, little is known about how this potential bias in facial emotion perception is related to specific characteristics of aggression. In the present study, conducted in a penitentiary setting with detained male adults, we investigated if violent offenders (n = 71) show a stronger tendency to interpret ambiguous facial expressions on a computer task as angry rather than happy, compared to non-violent offenders (n = 14) and to a control group of healthy volunteers (n = 32). We also investigated if hostile perception of facial expressions is related to specific characteristics of aggression, such as proactive and reactive aggression. No clear statistical evidence was found that violent offenders perceived facial emotional expressions as more angry than non-violent offenders or healthy volunteers. A regression analysis in the violent offender group showed that only age and a self-report measure of hostility predicted outcome on the emotion perception task. Other traits, such as psychopathic traits, intelligence, attention and a tendency to jump to conclusions were not associated with interpretation of anger in facial emotional expressions. We discuss the possible impact of the study design and population studied on our results, as well as implications for future studies.

Diagnostic efficiency among psychiatric outpatients of a self-report version of a subset of screen items of the Structured Clinical Interview for DSM-IV-TR Personality Disorders (SCID-II).

This article describes the identification of a 10-item set of the Structured Clinical Interview for DSM-IV Personality Disorders (SCID-II) items, which proved to be effective as a self-report assessment instrument in screening personality disorders. The item selection was based on the retrospective analyses of 495 SCID-II interviews. The psychometric properties were studied in a prospective validation study in a random sample of Dutch adult psychiatric outpatients, using the SCID-II interview as the gold standard. First, all patients completed the short questionnaire. One week later, they were interviewed with the full SCID-II. After another week, the short questionnaire was readministered. According to the scores obtained with the full SCID-II, 97 patients (50%) had a personality disorder. The set of 10 SCID-II items correctly classified 78% of all participants. The sensitivity, specificity, and positive and negative power were 0.78, 0.78, 0.78, and 0.78, respectively. The results based on the retrospectively obtained data were rather similar to those obtained in the prospective validation study. Therefore, it is concluded that the set of 10 SCID-II items can be useful as a quick self-report personality disorder screen in a population of psychiatric outpatients.

The relationship between dimensional personality models and quality of life in psychiatric outpatients.

This study examines the relationship between personality and quality of life (QOL) in psychiatric outpatients (N=495). Personality was conceptualized using two-dimensional models, respectively, the five-factor model (FFM) and Cloninger's seven-factor model. The WHOQOL-100 was used for assessing QOL. Neuroticism and Harm Avoidance had negative correlations with QOL, whereas Extraversion, Conscientiousness and Self-Directedness correlated positively with QOL. A considerable part of the QOL variance was explained by personality; Cloninger's character factors were superior to the FFM domains. Although not fully comparable, in general our findings are in accordance with earlier studies. Therefore, paying attention to personality and temperament is recommended in future diagnostic procedures, treatment policies, and program evaluations.

Predictors of quality of life: a model based study.

In this study, predictors of quality of life (QOL) in psychiatric outpatients (n = 410) were investigated using the psychological stress model developed by Taylor and Aspinwall (Psychosocial Stress. Perspective on Structures, Theory, Life-Course and Methods. San Diego, CA: Academic Press, 1996; pp. 71-110). External resources, personal resources, stressors, appraisal of stressors, social support, coping, and QOL were assessed with several questionnaires. The complete original Taylor and Aspinwall model was tested with SEM analyses. These analyses were not able to explain the data adequately. Therefore, initially a more exploratory data analytic strategy was followed using a series of multiple regression analyses. These analyses only partially supported the Taylor and Aspinwall model. In fact, QOL was not predicted by coping, while all other antecedents affected QOL directly, explaining considerable amounts of QOL variance. As a next step, taking the outcomes of the regression analyses as point of departure, new SEM analyses were carried out, testing a modified model. This model, without coping, had an excellent fit. Consequently, modifications of the model are recommended concerning psychiatric outpatients when QOL is the psychosocial outcome measure.

Relationship between mood related disorders and quality of life in a population of Dutch adult psychiatric outpatients.

Our objective was to investigate explicitly the relationship between mood-related disorders (MRDs) and quality of life (QOL), while trying to overcome the limitations of earlier research. QOL scores of psychiatric outpatients with MRDs were compared with QOL scores of outpatients without MRD and a sample of the general Dutch population (GDP). QOL was assessed with the World Health Organization Quality of Life assessment instrument, long version (WHOQOL-100), and depressive symptoms were assessed with the Symptom Checklist-90 (SCL-90). Outpatients with MRD had lower scores on all aspects of the WHOQOL-100 compared with the GDP. Compared with outpatients without MRD, the outpatients with MRD scored lower on most aspects of the WHOQOL-100. Within the group with MRDs, patients with major depressive disorder (MDD) had lower QOL scores compared with patients with dysthymic disorder or adjustment disorder with depressed mood. Severity of MRD and MDD was negatively related to QOL. Comorbid personality disorders worsened QOL. Within the group with MRDs, common variance between depressive symptoms and QOL did not exceed 25%. MRDs are negatively related with QOL. Severity of MRD and comorbidity of personality disorders decrease QOL further. MRDs affect all domains and facets of QOL. The relationship found between MRDs and QOL was not caused by an overlap between the concepts depressive symptoms and QOL, shown by the relative small common variance between (depressive) symptoms and QOL.

Quality of life and psychopathology: investigations into their relationship.

OBJECTIVE: Quality of life (QOL) has become a topic of growing interest in medical and psychiatric practice in general, and in research in particular. Although the body of knowledge about the complex relationship between QOL and psychiatric disorders is growing, understanding this relationship still remains difficult. Therefore, the aim of the present study was to get more and new insights into this relationship. It was hypothesized that QOL would be negatively related to the presence as well as the severity of psychopathology. METHOD: A random sample of Dutch adult psychiatric outpatients (n=410) completed the World Health Organization Quality of Life assessment instrument, abbreviated version (WHOQOL-Bref). In addition, DSM-IV axis I and II diagnoses were obtained. Comparisons were made between scores of the psychiatric outpatients, diagnostic subgroups within this population, and the scores of a general population. RESULTS: Compared with the general population, psychiatric outpatients scored significantly worse on all aspects of QOL. Within the group of outpatients, participants with DSM-IV diagnoses had worse scores than those without. Participants with comorbidity had the worst QOL. CONCLUSIONS: It is concluded that QOL scores are negatively related to both the presence and the severity of psychopathology, and that the presence of a personality disorder plays a role in subjectively experienced QOL.

Validation of the WHO Quality of Life assessment instrument (WHOQOL-100) in a population of Dutch adult psychiatric outpatients.

BACKGROUND: Research concerning the psychometric properties of the WHO Quality of Life Assessment Instrument (WHOQOL-100) in general populations of psychiatric outpatients has not been performed systematically. AIMS: To examine the content validity, construct validity, and reliability of the WHOQOL-100 in a general population of Dutch adult psychiatric outpatients. METHOD: A total of 533 psychiatric outpatients entered the study (438 randomly selected, 85 internally referred). Participants completed self-administered questionnaires for measuring quality of life (WHOQOL-100), psychopathological symptoms (SCL-90), and perceived social support (PSSS). In addition, they underwent two semi-structured interviews in order to obtain Axis-I and Axis-II diagnoses, according to DSM-IV. RESULTS: The drop-out percentage was low (7.1%). Of the 24 facets of the WHOQOL-100, 22 had a good distribution of scores, leaving out the facets physical environment and transport. Exploratory factor analysis revealed a four-factor structure, which was similar to earlier findings in patients with specific somatic diseases and depressive disorders. Various-a priori expected-positive and negative correlations were found between facets and domains of the WHOQOL-100, and dimensions of the SCL-90 and the PSSS-score, indicating good construct validity of the WHOQOL-100. The internal consistency of all facets and the four domains of the WHOQOL-100 was good (Cronbach's alpha's ranging from 0.62 to 0.93 and 0.64 to 0.84, respectively). Sparse and relatively low correlations were found between demographic characteristics (age and sex) and WHOQOL-100 scores. CONCLUSIONS: Content validity, construct validity, and reliability of the WHOQOL-100 in a population of adult Dutch psychiatric outpatients are good. The WHOQOL-100 appears to be a suitable instrument for measuring quality of life in adult psychiatric outpatients.