Short-term prediction of threatening and violent behaviour in an Acute Psychiatric Intensive Care Unit based on patient and environment characteristics

<p>Abstract</p> <p>Background</p> <p>The aims of the present study were to investigate clinically relevant patient and environment-related predictive factors for threats and violent incidents the first three days in a PICU population based on evaluations done at admittance.</p> <p>Methods</p> <p>In 2000 and 2001 all 118 consecutive patients were assessed at admittance to a Psychiatric Intensive Care Unit (PICU). Patient-related conditions as actuarial data from present admission, global clinical evaluations by physician at admittance and clinical nurses first day, a single rating with an observer rated scale scoring behaviours that predict short-term violence in psychiatric inpatients (The Brøset Violence Checklist (BVC)) at admittance, and environment-related conditions as use of segregation or not were related to the outcome measure Staff Observation Aggression Scale-Revised (SOAS-R). A multiple logistic regression analysis with SOAS-R as outcome variable was performed.</p> <p>Results</p> <p>The global clinical evaluations and the BVC were effective and more suitable than actuarial data in predicting short-term aggression. The use of segregation reduced the number of SOAS-R incidents.</p> <p>Conclusions</p> <p>In a naturalistic group of patients in a PICU segregation of patients lowers the number of aggressive and threatening incidents. Prediction should be based on clinical global judgment, and instruments designed to predict short-term aggression in psychiatric inpatients.</p> <p>Trial registrations</p> <p><a href="http://www.clinicaltrials.gov/ct2/show/NCT00184119">NCT00184119</a>/<a href="http://www.clinicaltrials.gov/ct2/show/NCT00184132">NCT00184132</a></p

Predicting inpatient violence using an extended version of the Brøset-Violence-Checklist: instrument development and clinical application

BACKGROUND: Patient aggression is a common problem in acute psychiatric wards and calls for preventive measures. The timely use of preventive measures presupposes a preceded risk assessment. The Norwegian Brøset-Violence-Checklist (BVC) is one of the few instruments suited for short-time prediction of violence of psychiatric inpatients in routine care. Aims of our study were to improve the accuracy of the short-term prediction of violence in acute inpatient settings by combining the Brøset-Violence-Checklist (BVC) with an overall subjective clinical risk-assessment and to test the application of the combined measure in daily practice. METHOD: We conducted a prospective cohort study with two samples of newly admitted psychiatric patients for instrument development (219 patients) and clinical application (300 patients). Risk of physical attacks was assessed by combining the 6-item BVC and a 6-point score derived from a Visual Analog Scale. Incidents were registered with the Staff Observation of Aggression Scale-Revised SOAS-R. Test accuracy was described as the area under the receiver operating characteristic curve (AUC(ROC)). RESULTS: The AUC(ROC )of the new VAS-complemented BVC-version (BVC-VAS) was 0.95 in and 0.89 in the derivation and validation study respectively. CONCLUSION: The BVC-VAS is an easy to use and accurate instrument for systematic short-term prediction of violent attacks in acute psychiatric wards. The inclusion of the VAS-derived data did not change the accuracy of the original BVC

Characteristics of aggressive behavior in people with mild to borderline intellectual disability and co-occurring psychopathology

People with intellectual disabilities and co-occurring psychopathology have a relatively high likelihood to engage in aggressive behavior. Nevertheless, structured clinical assessment of aggressive behavior, including when and where it occurs, is scarce in this population. Methods: On three wards specializing in the care for people with mild to borderline intellectual disability and co-occurring psychopathology, staff members completed the Staff Observation Aggression Scale–Revised adapted for people with intellectual disabilities (SOAS-R-ID) during a nine-month period, every time they witnessed aggressive behavior. Results: Based on 236 SOAS-R-ID forms, it was found that aggressive incidents were most common on Thursdays, and on two specific moments of the day (between 9–11 a.m. and 7–9 p.m.). The aggressive behavior was often exclusively of a verbal nature and was usually targeted against staff members (77.1% of the incidents). The Interclass (Pearson) Correlation Coefficient agreement between observers on the total score of the SOAS-R-ID was 0.72. Correlation between the judgment of the severity of aggressive behavior made by the staff members and the SOAS-R-ID severity scores was moderate (r = .40), but significant. Conclusions: Because aggressive behavior appeared to result often from interactions between the client and staff member or other clients, these interactions might be an important starting point for interventions. Structured clinical assessment of aggressive behavior can help to devise and test the effects of interventions. The SOAS-R-ID seems to be a clinically useful instrument and could therefore help to reduce the frequency of these incidents in the future

Fifteen years of research with the Staff Observation Aggression Scale; A review

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