Predictive Validity and Psychiatric Nursing Staff's Perception of the Clinical Usefulness of the French Version of the Dynamic Appraisal of Situational Aggression
Université de Montréal, Faculty of Nursing Science.Issues in Mental Health Nursing 10/2012; 33(10):670-5. DOI: 10.3109/01612840.2012.697254
This study seeks to evaluate the predictive validity of the French version of the Dynamic Appraisal of Situational Aggression (DASAfr) and psychiatric nurses' perceptions of the clinical usefulness of the scale. The study was conducted in a 12-bed psychiatric intensive care unit in a large adult general psychiatric hospital. We found that the total score on the DASAfr has acceptable predictive accuracy for aggression against others and against staff and for seclusion with restraints; predictive accuracy was poorer for aggression against objects. Moreover, the nurses though the scale would be useful to their practice; and, indeed, the team still uses the DASAfr.
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ABSTRACT: Institutional aggression in forensic psychiatric setting is an under-researched subject, despite the magnitude of the problem. No studies have been conducted on the assessment of risk and the examination of predictors of aggression among the Chinese forensic psychiatric population. Our study aimed to examine the determinants of aggression in the only forensic psychiatric institution in Hong Kong, and to test the psychometric properties of a risk-assessment instrument, the Dynamic Appraisal of Situational Aggression (DASA). We recruited a representative sample of 530 consecutively admitted detainees. Qualified nurses completed two risk-assessment instruments, the DASA and the Brøset Violence Checklist (BVC), once daily during the participants׳ first 14 days of admission. Aggressive incidents were recorded using the revised Staff Observation Aggression Scale (SOAS-R), and participants׳ data were collected for multivariate analyses. We showed that female gender, diagnoses of personality disorder and substance-related disorder, and admission at other correctional institutions were associated with institutional aggression. Aggression was perpetrated by 17.7% of the participants, and the DASA was demonstrated to have good psychometric properties in assessing and predicting aggressive incidents. Our findings preliminarily support the use of daily in-patient risk-assessment and affirm the role of dynamic factors in institutional aggression.Psychiatry Research 08/2014; 220(1-2). DOI:10.1016/j.psychres.2014.08.008 · 2.47 Impact Factor
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ABSTRACT: Violence in acute psychiatric wards affects the safety of other patients and the effectiveness of treatment. However, there is a wide variation in reported rates of violence in acute psychiatric wards. To use meta-analysis to estimate the pooled rate of violence in published studies, and examine the characteristics of the participants, and aspects of the studies themselves that might explain the variation in the reported rates of violence (moderators). Systematic meta-analysis of studies published between January 1995 and December 2014, which reported rates of violence in acute psychiatric wards of general or psychiatric hospitals in high-income countries. Of the 23,972 inpatients described in 35 studies, the pooled proportion of patients who committed at least one act of violence was 17% (95% confidence interval (CI) 14-20%). Studies with higher proportions of male patients, involuntary patients, patients with schizophrenia and patients with alcohol use disorder reported higher rates of inpatient violence. The findings of this study suggest that almost 1 in 5 patients admitted to acute psychiatric units may commit an act of violence. Factors associated with levels of violence in psychiatric units are similar to factors that are associated with violence among individual patients (male gender, diagnosis of schizophrenia, substance use and lifetime history of violence).PLoS ONE 06/2015; 10(6):e0128536. DOI:10.1371/journal.pone.0128536 · 3.23 Impact Factor
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ABSTRACT: The aims of this study are to explain the intervention of implementing a structured violence risk assessment procedure in mental health inpatient units using the Ottawa Model of Research Use (OMRU) as a guiding framework and to consider nurses' perspectives of its clinical utility and implementation process. Patient aggression toward staff is a global concern in mental health units. The limited extant literature exploring the use of structured violence risk assessments in mental health units, although small and inconsistent, reveals some positive impacts on the incidence of aggression and staff's use of restrictive interventions. Although numerous violence risk assessment instruments have been developed and tested, their systematic implementation and use are still limited. A project titled "Safer Working Management" (111298) was conducted in a Finnish hospital district, across 3 mental health units. The 6 steps of OMRU were followed during implementation of the Dynamic Appraisal of Situational Aggression (DASA). Nurses' views toward structured violence risk assessment procedures varied. Although implementation of the DASA was seen as a useful method to increase discussions with patients and nursing staff, some staff preferred their own clinical judgment for assessment of violence risk. It is possible to use a specific model to promote the implementation of risk assessment instruments in mental health units. However, the complex mental health inpatient environment and the difficulties in understanding and managing aggressive patients present challenges for the implementation of structured violence risk assessment methods. The OMRU provides a tool for clinical nurse specialists to guide implementation process in mental health units. Clinical nurse specialists must promote training for staff regarding use of new innovations, such as the DASA. Implementation processes should be reviewed so that clinical nurse specialists can lead and support mental health staff to properly use structured violence risk assessment measures.Clinical nurse specialist CNS 07/2015; 29(4):230-243. DOI:10.1097/NUR.0000000000000140 · 0.99 Impact Factor
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