Simulation-based education for staff managing aggression and high-risk behaviors in children with autism spectrum disorder in the hospital setting: A pilot and feasibility cluster randomized controlled trial

Background and objective: Aggression and high-risk behaviors, which can result in behavioral emergencies, are common in children with autism and can be magnified in the hospital environment. Children with autism, with or without intellectual disability, have complex communication needs which require a sophisticated level of knowledge, understanding and skill from health care professionals. Pediatric acute care nursing staff are often not trained and lack confidence in managing children with autism. The purpose of this study was to conduct a pilot and feasibility cluster randomized controlled trial (RCT) of simulation-based education for staff in managing behavioral emergencies with autism spectrum disorder (ASD) in the hospital setting.Methods: This study used a mixed method, to explore the acceptability and feasibility of delivering a large-scale cluster RCT and assess trial processes including recruitment, completion rates, contamination, and outcome measures. The simulation-based training format comprised two scenarios involving an adolescent with autism, intellectual disability and aggressive behaviors. Two pediatric wards of similar size and patient complexity were selected to participate in the study and randomized to receive either simulation-based education plus web-based education materials or web-based education materials only. Results: The RCT design is feasible with recruitment, acceptability and completion rates reaching target. Self-perceived baseline levels of confidence in managing aggression in children were mid-range and lower for children with autism and intellectual disability. Forty to fifty percent of intervention participants rated the training highly in terms of developing skills and knowledge respectively. The mean group score for observer ratings of de-escalation across four simulations was 20 out of a possible 35. Data for ward aggression were not collected.Conclusions: Simulation-based education is an acceptable training format for acute care pediatric nurses. This study is feasible to conduct as a cluster RCT with some modifications to this protocol including assessment of baseline differences in confidence. Observer ratings of de-escalation skills indicated that more than one episode of training may be required for acute care pediatric staff to successfully de-escalate aggressive incidents. As such, we will use repeated simulation scenario exercises for each intervention group in the next trial.

Risk Factors for Assault and Physical Aggression Among Medically Hospitalized Adult Patients Who Had a Behavioral Emergency Call: A Descriptive Study

BACKGROUND: Health care settings are a primary location for workplace violence that involves clients, but risk factors for behavioral emergencies in medical settings are largely unknown. AIM: This study proposed to identify risk factors for assault and physical aggression among medically hospitalized patients who needed a behavior emergency response team. METHOD: This descriptive study, conducted at a large Midwestern academic medical center, used univariable and multivariable logistic regression to assess relationships between demographic, medical, mental health, and contextual variables with assault and physical aggression. Predictive ability was summarized using area under the receiver operating characteristic curve. RESULTS: Among patients who received a behavior emergency response ( N = 820), 86 (10%) were assaultive. Physical aggression was the most significant predictor of assault. Physical aggression was predicted by older age, male gender, and verbal threats to others. Conversely, internalizing mental health conditions of anxiety, depression, and suicidal ideation were significant for decreased risk of assault and/or physical aggression. Contextual factors, identified as wanting to smoke or leave the hospital, were significantly associated with decreased risk of both assault and physical aggression. CONCLUSION: Health care providers are encouraged to (1) consider the demonstration of physical aggression as a sign to urgently implement precautionary measures for safety, (2) avoid predicting violent situations based on particular medical or mental health conditions alone, and (3) understand that not all disruptive behavior leads to violent situations.

Algorithmic Prediction of Restraint and Seclusion in an Inpatient Child and Adolescent Psychiatric Population

BACKGROUND: Restraint and seclusion in an inpatient child and adolescent psychiatric population adversely affects the overall value and safety of care. Due to adverse events, negative outcomes, and associated costs, inpatient psychiatric hospitals must strive to reduce and ultimately eliminate restraint and seclusion with innovative, data-driven approaches. AIM: To identify patterns of client characteristics that are associated with restraint and seclusion in an inpatient child and adolescent psychiatric population. METHOD: A machine learning application of fast-and-frugal tree modeling was used to analyze the sample. RESULTS: The need for restraint and seclusion were correctly predicted for 73% of clients at risk (sensitivity), and 76% of clients were correctly predicted as negative or low risk (specificity), for needing restraint and seclusion based on the following characteristics: having a disruptive mood dysregulation disorder and/or attention-deficit hyperactivity disorder diagnosis, being 12 years old or younger, and not having a depressive and/or bipolar disorder diagnosis. CONCLUSION: The client characteristics identified in the predictive algorithm should be reviewed on admission to recognize clients at risk for restraint and seclusion. For those at risk, interventions should be developed into an individualized client treatment plan to facilitate a proactive approach in preventing behavioral emergencies requiring restraint and seclusion.