Self-harming behaviors and forensic system-related factors: an analysis of the Ontario review board database.

BACKGROUND: In Canada, ensuring public safety, and the safety and well-being of accused individuals under the jurisdiction of the provincial review board are very important. While previous studies have reported a significant risk of self-harming behaviors (non-suicidal self-injury and suicide attempt) in forensic psychiatric settings, no large population study has assessed any relationship between forensic system-related factors and self-harming behaviors. A better understanding of these factors can help clinicians implement protective measures to mitigate self-harming behaviors or actions. METHODS: Using the Ontario Review Board (ORB) database covering 2014-2015 period (n = 1211, mean age = 42.5 ± 13.37 years, males = 86.1%), we analyzed the prevalence and factors associated with self-harming behaviors, emphasizing the characterization of the forensic system-related factors (ORB status, legal status, type of offense, previous criminal history, and victim relationship). The relationships between the forensic system-related factors and self-harming behaviors were explored using five separate logistic regression models, controlling for clinical and sociodemographic characteristics. RESULTS: Approximately 4% of the individuals in the forensic system over the study period engaged in self-harming behaviors Among the studied patients, individuals determined to be unfit to stand trial and inpatients were significantly more likely to have self-harming behaviors. There was no significant relationship between the type of offence, victim relationship, and previous criminal history with self-harming behavior. CONCLUSION: Forensic psychiatry inpatients should have close observation, screening, monitoring, and individual tailored management strategies for self-harming behaviors. The findings of this study indicate that forensic system-related factors, especially those that pertain to the status of individuals in the forensic system (i.e., unfit to stand trial and being an inpatient) are more responsible for self-harming behaviors among forensic patients in Ontario.

Electroretinography and suicidal behaviors: a systematic review.

BACKGROUND: Electroretinogram (ERG) is one of the tools used to investigate the electrophysiological underpinnings of mental health illnesses and major clinical phenomena (e.g., suicide) to improve their diagnosis and care. While multiple studies have reported specific ERG changes among individuals with suicidal behaviors, we know of no review that has been done to characterize their findings to inform future research. METHODS: This review included available literature concerning ERG and suicidal behaviors. The paper's first section briefly overviews the theoretical basis of ERG and neurotransmitters involved in suicidal behaviors. The second section describes the findings of a review of studies reporting ERG findings among individuals with suicidal behaviors. RESULTS: Most reviewed studies reported normal amplitude and implicit time of the a-waves, but the latency in individuals with suicidal behaviors was lower than normal. Additionally, the b-waves amplitude was reduced, but the implicit time and latency were increased. The b-a amplitude ratio and oscillatory potential were decreased. CONCLUSION: Despite identifying certain ERG correlates with suicidal behaviors in the existing studies, there is a need for adequately powered and methodologically robust studies to advance clinical translation.

The HARM models: Predicting longitudinal physical aggression in patients with schizophrenia at an individual level.

The prediction and prevention of aggression in individuals with schizophrenia remains a top priority within forensic psychiatric settings. While risk assessment methods are well rooted in forensic psychiatry, there are no available tools to predict longitudinal physical aggression in patients with schizophrenia within forensic settings at an individual level. In the present study, we used evidence-based risk and protective factors, as well as variables related to course of treatment assessed at baseline, to predict prospective incidents of physical aggression (4-month, 12-month, and 18-month follow-up) among 151 patients with schizophrenia within the forensic mental healthcare system. Across our HARM models, the balanced accuracy (sensitivity + specificity/2) of predicting physical aggressive incidents in patients with schizophrenia ranged from 59.73 to 87.33% at 4-month follow-up, 68.31-80.10% at 12-month follow-up, and 46.22-81.63% at 18-month follow-up, respectively. Additionally, we developed separate models, using clinician rated clinical judgement of short term and immediate violent risk, as a measure of comparison. Several modifiable evidence-based predictors of prospective physical aggression in schizophrenia were identified, including impulse control, substance abuse, impulsivity, treatment non-adherence, mood and psychotic symptoms, substance abuse, and poor family support. To the best of our knowledge, our HARM models are the first to predict longitudinal physical aggression at an individual level in patients with schizophrenia in forensic settings. However, it is important to caution that since these machine learning models were developed in the context of forensic settings, they may not be generalisable to individuals with schizophrenia more broadly. Moreover, a low base rate of physical aggression was observed in the testing set (6.0-11.6% across timepoints). As such, larger cohorts will be required to determine the replicability of these findings.

Mistakes in interpersonal perceptions: Social cognition in aggressive forensic psychiatry patients.

BACKGROUND: While there is an established link between untreated psychosis and aggression, an enhanced understanding of the role of social cognition is still needed. AIMS: To examine social cognitive functioning among patients in a specialist forensic mental health service who had been deemed not criminally responsible for acts of violence due to a psychotic disorder. It was hypothesised, first, that such patients would show reduced social cognitive functioning compared with healthy, nonviolent comparison participants and, second, that those who continued to be aggressive while inpatients would demonstrate significant reductions compared to the now nonaggressive group. METHODS: The study samples were of 10 recently aggressive and 15 not-recently aggressive patients and 20 healthy, nonviolent comparison participants. Each completed the Toronto Empathy Questionnaire (TEQ), the Reading the Mind in the Eyes Test-Revised (RMET) and the Interpersonal Perception Task-15 (IPT-15). RESULTS: There was no significance between group differences on the RMET and TEQ. The patient group as a whole, however, showed significant interpersonal misperceptions, with specific misperceptions on IPT-15 deception and kinship subscales, while at the same time lacking self-awareness of their errors. Misperceptions on the IPT-15 competition subscale were unique to recently aggressive patients. CONCLUSIONS: Select aspects of reduced social cognitive functioning were found among not criminally responsible patients with psychosis who had committed violent acts and who continued to act aggressively while forensic inpatients. These findings enhance our understanding of the role of social cognition in predisposing toward violence and the potential importance of incorporating interventions which improve social cognition directly. We suggest also the potential for future research using virtual reality technologies in treatment.

The impact of social media coverage on attitudes towards mental illness and violent offending.

The aim of this study is to better understand stigma towards individuals with mental illness who commit violent offences, and examine ways to mitigate the negative impact of social media news stories of schizophrenia and violent offending. Psychology undergraduate students (N = 255) were exposed to Instagram images and captions of recent real news stories of violent offending by individuals with schizophrenia. In the experimental condition, contextual clinical explanatory information was integrated. Pre- and post-measures of stigma were completed. There was a significant increase in negative attitudes towards individuals with mental illness who committed violent offences following the no-context condition, which was clearly mitigated in the experimental condition where context was provided. In both conditions, there were significant increases in intended social-distancing behaviours towards and perceptions of dangerousness of individuals with schizophrenia, and negative beliefs about mental illness more generally. There appears to be utility in incorporating knowledge-based clinical information to mitigate some facets of stigma.

Absconsion in forensic psychiatric services: a systematic review of literature.

While serious concerns are often raised when patients abscond or leave unauthorized from psychiatric services, there is limited knowledge about absconsion in forensic psychiatric services. Following the preferred reporting items for systematic reviews and meta-analyses guideline, we searched Medline/PubMed, PsycINFO, EMBASE, CINAHL, Scopus, and Web of Science through May 2020 for eligible reports on absconsion in forensic patients with no language limits. The search string combined terms for absconsion, forensic patients, and psychiatry in various permutations. This was supplemented by snowball searching for additional studies. Of the 565 articles screened, 25 eligible studies, including two interventional, seven cross-sectional, and 16 case-controlled studies spanning five decades were included. Absconsion and re-absconsion rates ranged from 0.2% to 54.4% and 15% to 71%, respectively, albeit higher rates trended with less secure psychiatric units. Previous absconsion, aggression, substance use, high Historical Clinical Risk Management-20 score, anti-sociality, psychiatric symptoms, sexual offending, and poor treatment adherence were the factors reported with a degree of predictive value for absconsion. However, the construct of absconsion was heterogeneous in the included studies and the quality of evidence on the predictors of absconsion was limited. Serious risky behaviors including re-offending, violence, self-harm, suicide, rape, and manslaughter were perpetrated by patients during unauthorized leave. Nevertheless, the rates of re-offending were generally low in the included studies (highest recidivism rate = 0.11). There is need for standardized assessment and documentation of absconsion to improve risk analysis and management. Furthermore, it is necessary to develop a structured guideline for defining absconsion, and to create a protocol that operationalizes all absconsion-related behaviors/events to promote reliable assessment and comparative analysis in future studies.

The Ontario Forensic Mental Health System: A Population-based Review.

OBJECTIVE: The purpose of this study was to increase the understanding of the Canadian forensic psychiatry system by providing a population-based overview of the Ontario forensic mental health system. METHODS: Data were collected on 1,240 accused adults who were subject to the jurisdiction of the Ontario Review Board (ORB) between 2014 and 2015. Archival data were retrieved from annual ORB hearing hospital reports for accused supervised by all nine adult forensic psychiatry facilities across Ontario. RESULTS: The sample included not criminally responsible (NCR; 91.6%) and unfit to stand trial (UST; 8.4%) accused. The majority of the sample was male (85.7%), single (70.1%), unemployed (63.6%), with a high school education (48.8%). Most were on a detention order (78.5%) and almost half were living in the community at the time of the report (48.8%). The majority had prior contact with psychiatric services (83.1%) and/or the criminal justice system (70.6%) before entering the forensic system. A history of elopement (31.5%) and inpatient aggression was high (60.6%). Most had a psychotic spectrum disorder (81.6%) and over half had a substance use disorder (57.2%) in the reporting year. A range of index offences was observed (69.9% violent, 20.3% general, 9.8% sexual), and the majority of the sample (61.0%) had an index offence that resulted in no injury or a minor injury to the victim. CONCLUSION: The Canadian forensic psychiatry system is comprised of a unique subset of justice-involved individuals. This study provides a detailed examination of accused who are subject to the jurisdiction of the ORB and provides key insight into risk factors associated with offending behaviour in this population. The results of this study will provide a framework for future studies examining the association between mental disorder and violence and the treatment trajectories for those in the forensic psychiatry system.

Public perceptions of psychiatric, justice-involved, and elderly populations during the COVID-19 pandemic.

The novel coronavirus disease (COVID-19) has had a significant global impact, with all countries facing the challenge of mitigating its spread. An unprecedented shortage of medical resources has raised concerns regarding allocation and prioritization of supplies, which may exacerbate social discrepancies for already vulnerable populations. As public opinion can impact healthcare policies, we aimed to characterize perceptions of psychiatric, forensic psychiatry, correctional, and elderly populations regarding COVID-19-related issues. This web-based study recruited participants (n = 583) from the general population in North America. The survey included perceptions of the pandemic, hypothetical scenarios on resource prioritization, and Likert scale questions. The majority of participants were cisgender female (72.7%), aged 31-74 years (80.0%), married (48.0%), retired (52.7%), resided in Canada (73.9%), had a college/university degree (50.9%) and had never worked in healthcare (66.21%). Most respondents reported not having a criminal history (95.88%), or a psychiatric disorder (78.73%). Perceptions of vulnerable populations were significantly different for resource allocation and prioritization (e.g., ventilator and vaccine resources, all p < 0.001). Healthcare workers and the elderly were commonly ranked the highest priority for resources, while forensic psychiatry and correctional populations were given the lowest priority. A high rate of disagreement was found for the more stigmatizing questions in the survey (all p < 0.0001). Our results suggest that perception from members of the general public in North America is aligned with current practices for resource allocation. However, individuals that already face social and health disparities may face additional opposition in decision-making for COVID-19 resources.

Predicting offenses among individuals with psychiatric disorders - A machine learning approach.

BACKGROUND: Actuarial risk estimates are considered the gold-standard way to assess whether psychiatric patients are likely to commit prospective criminal offenses. However, these risk estimates cannot individually predict the type of criminal offense a patient will subsequently commit, and often simply assess the general likelihood of crime occurring in a group sample. In order to advance the predictive utility of risk assessments, better statistical strategies are required. AIM: To develop a machine learning model to predict the type of criminal offense committed in a large transdiagnostic sample of psychiatry patients, at an individual level. METHOD: Machine learning algorithms (Random Forest, Elastic Net, SVM), were applied to a representative and diverse sample of 1240 patients in the forensic mental health system. Clinical, historical, and sociodemographic variables were considered as potential predictors and assessed in a data-driven way. Separate models were created for each type of criminal offense, and feature selection methods were used to improve the interpretability and generalizability of our findings. RESULTS: Sexual offenses can be predicted from nonviolent and violent offenses at an individual level with a sensitivity of 82.44% and specificity of 60.00%, using only 36 variables. Furthermore, in a binary classification model, sexual and violent offenses can be predicted at an individual level with 83.26% sensitivity and 77.42% specificity using only 20 clinical variables. Likewise, non-violent and sexual offenses can be individually predicted with 74.60% sensitivity and 80.65% specificity using 30 clinical variables. CONCLUSION: The current results suggest that machine learning models can show greater accuracy than gold-standard risk assessment tools (AUCs 0.70-0.80). However, unlike existing risk tools, this approach allows for the prediction of cases at an individual level, which is more clinically useful. Despite this, it is important to note that a large subset of patients in the sample were involved in the criminal system in the past, prior to an official diagnosis. Therefore, many of the variables that predict offenses may be derived from the issues of prior offenses. Irrespective of this, the accuracy of prospective models is expected to only improve with further refinement.

Stigmatization of psychiatric and justice-involved populations during the COVID-19 pandemic.

Psychiatric and justice-involved populations are known to be stigmatized and particularly vulnerable to adverse outcomes during COVID-19. The increased attention toward vulnerable populations from healthcare authorities, the media, and the general public has made it critical to uncover any developing stigmatization toward these groups and the possible consequences. The prioritization of public safety and shift in the prioritization of resource allocation and service delivery could lead to a rise in negative perceptions toward these already stigmatized groups. Thus, it is imperative to consider how the unique characteristics of vulnerable groups may impact their physical and mental health as well as their care during this pandemic. In this paper, we describe the challenges that psychiatric, correctional, and forensic psychiatry populations have faced during COVID-19 and how a rise in stigmatization could lead to adverse outcomes. Specifically, we outline the influence of the media on public perceptions and how stigmatization may be reflected in the allocation of resources, policies, and related decision-making during COVID-19.

Short-term clinical risk assessment and management: Comparing the Brockville Risk Checklist and Hamilton Anatomy of Risk Management.

The current article aims to examine the performance of two brief, dynamic risk measures - the Brockville Risk Checklist (BRC4) and one of two versions of the Hamilton Anatomy of Risk Management [HARM-FV and electronic HARM-FV (eHARM-FV)] - scored at regular clinical case conferences for forensic psychiatric patients in two different settings. The eHARM represents a first-in-class dynamic risk assessment tool using data analytics. Two studies are presented from two forensic psychiatric hospitals in Ontario, Canada. The first study compared the HARM-FV, scored by trained research staff, with the BRC4, scored concurrently by clinical teams, on 36 forensic inpatients. In the second study, trained research staff scored both the BRC4 and the eHARM-FV on 55 forensic inpatients. Both studies demonstrated that the BRC4 and both HARM-FV tools were moderately and positively correlated with each other, with higher agreement for similar domains and items. In both samples, the risk measures performed better at identifying individuals who engaged in repeated or more serious problematic behavior. The HARM-FV and eHARM-FV produced higher area under the curve values for subsequent behavior compared with the BRC4. All three tools were effective at detecting future aggression and adverse incidents. We did not directly compare the HARM-FV and eHARM-FV.

A preliminary evaluation of the effectiveness of dialectical behaviour therapy in a forensic psychiatric setting.

Dialectical behaviour therapy (DBT) is a therapy model incorporating elements of Eastern philosophies and cognitive behavioural principles. Originally designed for people struggling with chronic suicidality and borderline personality disorder (BPD), it has been adapted to treat complex, multi-diagnostic presentations, such as those in forensic mental health settings. To date, there has been little evaluation when the primary diagnosis is of psychosis. To explore the effectiveness of DBT, with patients, with multiple comorbidities, including psychosis, in a forensic psychiatric inpatient setting. A descriptive outcome study with a cohort of offender-patients in one specialist forensic mental health unit. Before and after treatment change scores were compared on anger, aggression, hopefulness, coping abilities, emotional intelligence, insight and subjective symptom severity scales, as well as staff-rated risk, and length of stay. Nine men and five women residents in one Canadian secure hospital completed a standard DBT programme, and self-ratings, over about 1 year. Scale scores indicated significantly increased insight and acknowledgment of problems. Apparently increased anger and vengeance scores were clinically associated. Independent staff ratings indicated reductions in risk and most patients achieved early release. This study provides support for extension of the use of DBT to offender-patients with psychosis among the complex mix in their presentation. It suggests that a randomised controlled trial with cost-benefit analysis is warranted, as well as further work, to promote understanding of mechanisms of effectiveness.

Implementation of risk assessment tools in psychiatric services.

Violence remains a major risk management concern in psychiatric services with implications on the safety and well-being of patients, staff, and the public. Serious physical and psychological consequences of violence involving property damage, bodily injuries, and threat to life have been reported in mental health services. Risk assessment tools are important safeguard measures; however, research on clinical implementation is presently limited. Structured professional judgment (SPJ) risk management tools that incorporate professional discretion with analytical understanding of evidence-based risk factors are widely accepted for risk assessment. However, clinical utility is suboptimal due to several barriers, including those related to the tool, the clinical setting, and resistance from health professionals. To better understand the challenges militating against optimal implementation of risk assessment tools, we reviewed and presented some lessons from the implementation of clinical practice guidelines on a general scale and our experience implementing an SPJ tool called Hamilton Anatomy of Risk Management across a variety of psychiatric services. In summary, the clinical utility of risk assessment tools improves if the tool is psychometrically sound, concise, consensus rated, time efficient, and practical for planning risk management. User feedbacks on the tool utility are also important to sustain implementation.

Technological advances in the assessment of impulse control in offenders: A systematic review.

Deficits in impulse control have been linked to criminal offending, risk of recidivism, and other maladaptive behaviours relevant to the criminal justice system (e.g. substance use). Impulse control can be conceptualized as encompassing the broad domains of response inhibition and impulsive/risky decision-making. Advancements in technology have led to the development of computerized behavioural measures to assess performance in these domains, such as go/no-go and delay discounting tasks. Despite a relatively large literature examining these tasks in offenders, findings are not universally consistent. This systematic review aims to synthesize the literature using computerized neurocognitive tasks to assess two domains of impulse control in offenders: response inhibition and impulsive/risky decision-making. The review included 28 studies from diverse geographic locations, settings, and offender populations. The results largely support the general conclusion that offenders exhibit deficits in impulse control compared with non-offenders, with studies of response inhibition more consistently reporting differences than studies using impulsive and risky decision-making tasks. Findings are discussed in the context of contemporary neuroimaging research emphasizing dysfunction in prefrontal cortex as a key contributor to impulse control deficits in offenders.

Validating the Hamilton Anatomy of Risk Management-Forensic Version and the Aggressive Incidents Scale.

The Hamilton Anatomy of Risk Management-Forensic Version (HARM-FV) is a structured professional judgement tool of violence risk developed for use in forensic inpatient psychiatric settings. The HARM-FV is used with the Aggressive Incidents Scale (AIS), which provides a standardized method of recording aggressive incidents. We report the findings of the concurrent validity of the HARM-FV and the AIS with widely used measures of violence risk and aggressive acts, the Historical, Clinical, Risk Management-20, Version 3 (HCR-20V3) and a modified version of the Overt Aggression Scale. We also present findings on the predictive validity of the HARM-FV in the short term (1-month follow-up periods) for varying severities of aggressive acts. The results indicated strong support for the concurrent validity of the HARM-FV and AIS and promising support for the predictive accuracy of the tool for inpatient aggression. This article provides support for the continued clinical use of the HARM-FV within an inpatient forensic setting and highlights areas for further research.