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1.
JAMA Netw Open ; 6(7): e2325494, 2023 07 03.
Article in English | MEDLINE | ID: mdl-37494041

ABSTRACT

Importance: Current risk assessment tools for domestic violence against family members were developed with small and selected samples, have low accuracy with few external validations, and do not report key performance measures. Objective: To develop new tools to assess risk of reoffending among individuals who have perpetrated domestic violence. Design, Setting, and Participants: This prognostic study investigated a national cohort of all individuals arrested for domestic violence between 1998 and 2013 in Sweden using information from multiple national registers, including National Crime Register, National Patient Register, Longitudinal Integrated Database for Health Insurance and Labour Market Studies Register, and Multi-Generation Register. Data were analyzed from August 2022 to June 2023. Exposure: Arrest for domestic violence. Main Outcomes and Measures: Prediction models were developed for 3 reoffending outcomes after arrest for domestic violence: conviction of a new violent crime (including domestic violence), conviction of any new crime, and rearrest for domestic violence at 1 year, 3 years, and 5 years. The prediction models were created using sociodemographic factors, criminological factors, and mental health status-related factors, linking data from multiple population-based longitudinal registers. Cox proportional hazard multivariable regression was used to develop prediction models and validate them in external samples. Key performance measures, including discrimination at prespecified cutoffs and calibration statistics, were investigated. Results: The cohort included 27 456 individuals (mean [SD] age, 39.4 [11.6] years; 24 804 men [90.3%]) arrested for domestic violence, of whom 4222 (15.4%) reoffended and were convicted for a new violent crime during a mean (SD) follow-up of 26.5 (27.0) months, 9010 (32.8%) reoffended and were convicted for a new crime (mean [SD] follow-up, 22.4 [25.1] months), and 2080 (7.6%) were rearrested for domestic violence (mean [SD] follow-up, 25.7 [30.6] months). Prediction models were developed with sociodemographic, criminological, and mental health factors and showed good measures of discrimination and calibration for violent reoffending and any reoffending. The area under the receiver operating characteristic curve (AUC) for risk of violent reoffending was 0.75 (95% CI, 0.74-0.76) at 1 year, 0.76 (95% CI, 0.75-0.77) at 3 years, and 0.76 (95% CI, 0.75-0.77) 5 years. The AUC for risk of any reoffending was 0.76 (95% CI, 0.75-0.77) at 1 year and at 3 years and 0.76 (95% CI, 0.75-0.76) at 5 years. The model for domestic violence reoffending showed modest discrimination (C index, 0.63; 95% CI, 0.61-0.65) and good calibration. The validation models showed discrimination and calibration performance similar to those of derivation models for all 3 reoffending outcomes. The prediction models have been translated into 3 simple online risk calculators that are freely available to use. Conclusions and Relevance: This prognostic study developed scalable, evidence-based prediction tools that could support decision-making in criminal justice systems, particularly at the arrest stage when identifying those at higher risk of reoffending and screening out individuals at low risk of reoffending. Furthermore, these tools can enhance treatment allocation by enabling criminal justice services to focus on modifiable risk factors identified in the tools for individuals at high risk of reoffending.


Subject(s)
Domestic Violence , Male , Humans , Adult , Cohort Studies , Crime , Aggression/psychology , Risk Factors
2.
J Psychiatr Ment Health Nurs ; 28(1): 43-55, 2021 Feb.
Article in English | MEDLINE | ID: mdl-32662181

ABSTRACT

WHAT IS KNOWN ON THE SUBJECT?: Traumatic brain injury (TBI) has been linked to poor outcomes in terms of mental health, specifically, PTSD, depression and alcohol abuse. A lack of research evidence exists relevant to exploring the presence and implications of TBI in the police in the UK and globally, despite the elevated risk of physical and emotional trauma specific to policing. WHAT DOES THE PAPER ADD TO EXISTING KNOWLEDGE?: The rate of traumatic brain injury is highly prevalent in a small sample of police officers. Traumatic brain injury is a major source of post-concussion symptoms (physical, cognitive and emotional deficits) in police officers, which, in general, are associated with greater mental health difficulties and drinking alcohol to cope. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Traditional mental health treatments should be supplemented with elements of concussion care to address any cognitive, emotional and physical issues due to head injury. Interventions should be made more accessible to those suffering from a mild brain injury. This can be done through regular reminders of appointments, pictograms and by providing a concrete follow-up. ABSTRACT: Introduction Police officers have a high risk of injury through assaults, road traffic incidents and attending domestic calls, with many officers developing post-traumatic stress disorder (PTSD) as a consequence. Traumatic brain injury (TBI) is a common injury in populations involved in conflict and has been extensively linked to mental health difficulties. However, current research has not explored the frequency and sequelae of TBI in police populations, despite the elevated risk of physical and emotional trauma specific to policing. Aim To explore self-reported TBI, PTSD, post-concussion symptoms, depression and drinking to cope in a small sample of UK police, to determine the frequency of these conditions and their relationships. Method Measures of TBI, mental health, and drinking alcohol to cope were administered to 54 police officers from a Midshire Police Constabulary. Results Mild TBI with loss of consciousness was reported by 38.9% of the sample. TBI was associated with increased post-concussion symptoms (PCS). PCS were associated with greater severity of PTSD, depression and drinking to cope. Discussion Exploring TBI in the police could identify a major factor contributing towards ongoing mental health difficulties in a population where, based on previous research, the implications of TBI should not be overlooked, highlighting the need for further research in this area. Implications for Practice This research spans to identify the importance of routine assessment and increasing awareness within mental health services. Mental health treatments should be made amenable to a population with potential memory, planning and impulse control deficits. Further work in mental health services is needed to understand the level of ongoing issues that are due to post-concussion symptoms and those that are due to other mental health difficulties, such as PTSD, thereby educating patients on the association between TBI and emotional difficulties. A graduated return-to-work plan should be developed to enable a safe transition back to work, whilst managing any ongoing symptoms.


Subject(s)
Brain Injuries , Stress Disorders, Post-Traumatic , Humans , Mental Health , Pilot Projects , Police , Stress Disorders, Post-Traumatic/epidemiology
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