View clinical trials related to Violence.
Filter by:The main goal of this study is to evaluate if the Finnish version of eDASA+APP (electronic Dynamic Appraisal of Situational Aggression + Aggression Prevention Protocol), a clinical decision support system (CDSS), has an impact on reducing workplace violence, use of coercive measures and increasing nurses' job satisfaction in adult psychiatric inpatient care.
The overall aim of the proposed project is to develop and evaluate the effectiveness of Brief Violence Intervention-Virtual Reality (BVI-VR) for reducing firearm-related violence, re-injury, and mortality among victims of violence. Outcome measures of firearm-related violence will come from multiple sources, including criminal background checks, hospital data, state-level data, semi-structured clinical assessments, and self-report assessments. In addition, the study aims to understand the impact of BVI-VR on psychosocial mediators resulting in a reduction of firearm-related violence. This will include self-report surveys, neurocognitive assessments, and clinical assessments. The economic efficiency of BVI-VR as a firearm-related violence intervention will also evaluated. To achieve these aims, a randomized control trial (RCT) in a large sample of violently injured adults (18+ years) from VCU Health will be conducted.
Patients with schizophrenia have a higher risk of committing violent crimes than the general population, and the relative risk of violence against others is four times higher than the general population. Violence is a major public health problem because it often leads to poor prognosis, readmission and stigma in patients with schizophrenia. MRI studies on violent behavior in schizophrenia are relatively few. These studies have found that violence is primarily associated with dysfunction in the ventral prefrontal and temporal limbic systems. Structural MRI found that violent behavior in schizophrenia was associated with increased volume of white matter in caudate nucleus, left orbitofrontal gyrus and right orbitofrontal gyrus. However, the current research results in this field are uneven, the methods are not consistent, and there is a lack of breakthrough progress, which needs to be integrated and deepened urgently. If the violent behavior of the patients with schizophrenia could be predicted by magnetic resonance imaging, it would be a revolutionary try. By doing so, the investigators can strengthen the treatment of these patients and reduce the occurrence of violence. Based on previous studies, the investigators believe that violent schizophrenics exhibit recognizable imaging characteristics under structural phase, resting state, negative emotional images and natural stimuli models. Anomalies in a particular mode may be subtle and difficult to identify, but when multiple different modes are integrated, a significant and characteristic set of imaging markers will be present. This study will use the multivariate model of machine learning method, detection brain activation patterns under different situations among patients with violence. The investigators are going to study imaging biomarkers, and try to predict the possibility of onset of violence among schizophrenia patients, thus reduce the risks of violence.
To date, no interventions to prevent violence in refugee camp schools have ever been rigorously evaluated. The primary objective of this project is to test the effectiveness of the Empateach intervention to prevent physical violence from teachers to students in Nyarugusu Refugee Camp, Tanzania. Secondary objectives are to assess the impact of the Empateach intervention on student's depressive symptoms, experience of emotional violence and educational test scores. A two arm cluster RCT with parallel assignment will be conducted.
The purpose of the study is to develop a program to help people to lower their chances of being violently injured again.