Association of emergency department boarding times on hospital length of stay for patients with psychiatric illness.

BACKGROUND: Extended periods awaiting an inpatient bed in the emergency department (ED) may exacerbate the state of patients with acute psychiatric illness, increasing the time it takes to stabilise their acute problem in hospital. Therefore, we assessed the association between boarding time and hospital length of stay for psychiatric patients. METHODS: ED clinical records were linked to inpatient administrative records for all patients with a primary psychiatric diagnosis admitted to a Calgary, Alberta hospital between April 2014 and March 2018. The primary exposure was boarding time (admission decision to inpatient bed transfer), and primary outcome was inpatient length of stay. Confounders for this relationship, including indicators of illness severity, were selected a priori then the association was assessed using hierarchical Bayesian Poisson regression, which accounts for repeat observations of the same patient and differences between hospital sites. Changes in length of stay were measured using a rate ratio (ie, expected change in length of stay for each 1 hour increase in boarding time). RESULTS: A total of 19 212 admissions (14 261 unique patients) were included in the analysis. The average boarding time was 14 hours (range: 0-186 hours). Patients who were boarded for greater than 14 hours more frequently required a high-observation bed (14% vs 3.5%), received an antipsychotic (44% vs 14%) or received sedation (55% vs 33%) while in the ED. The probability that boarding time increased hospital length of stay (rate ratio: >1) was 92%, with a median increase for a patient boarded for 24 hours of 0.01 days. CONCLUSION: Boarding in the ED was associated with a high probability of increasing the hospital length of stay for psychiatric patients; however, the absolute increase is minimal. Although slight, this signal for longer length of stay may be a sign of increased morbidity for psychiatric patients held in the ED.

A Mixed-Methods Realist Analysis of an Interdisciplinary Simulation Intervention for Psychiatry Residents.

OBJECTIVES: Simulation research in postgraduate psychiatry remains limited, with minimal studies on interdisciplinary involvement and mechanisms of change. To address these gaps, the authors implemented a mixed-methods realist analysis of an interdisciplinary simulation intervention administered to psychiatry residents. METHODS: The University of Calgary implemented a simulation intervention for psychiatry residents. Eight junior residents participated in or observed 4 scenarios and eighteen senior residents participated in or observed 8 scenarios. Scenarios lasted 15 minutes with a pre-simulation orientation and post-scenario debrief. Most scenarios involved interdisciplinary staff. Scenarios included agitated and suicidal patients; treatment-related emergencies; and challenging conversations. All residents completed pre- and post-simulation surveys reporting confidence levels. Changes in confidence were analyzed using paired t tests and differences between junior and senior residents' confidence using ANOVA. Eleven residents participated in 2 focus groups. Transcripts were analyzed using a constant comparative model to identify contexts, mechanisms, outcomes, and the relationship between these realist categories. Key themes were extracted using generic theme analysis. RESULTS: Aggregated survey data demonstrated statistically significant improvements in self-reported confidence for 7 of 8 proposed scenarios, with variations in confidence outcomes between junior and senior residents. Four themes emerged: (1) How Simulations Facilitate Learning, (2) The Role of Pre-simulation Instructions, (3) Factors Facilitating Confidence, (4) Positive Effects of Interdisciplinary Involvement. CONCLUSIONS: This study identifies possible mechanisms for residents' self-reported improvements in learning and confidence, which may help programs tailor interventions. Furthermore, this study suggests there may be benefits to interdisciplinary simulations, with self-reported outcomes of improved collaboration and safety planning.

Combination of Clozapine With Long-Acting Injectable Antipsychotics in Treatment-Resistant Schizophrenia: Preliminary Evidence From Health Care Utilization Indices.

BACKGROUND: Clozapine is indicated for treatment-resistant schizophrenia (TRS), but only 30%-60% of patients will respond. There have been studies of clozapine augmentation with oral second-generation antipsychotics with mixed results, but no studies considering the combination with long-acting injectable antipsychotics (LAIAs). This study is the first to attempt to establish the benefits of the combination of clozapine and LAIAs in TRS using a variety of outcome measures of symptomatology and quality of life. METHODS: A mirror-image study design was employed to review outcome measures 2 years pre and post combination of clozapine with a LAIA in a small sample of patients with chronic schizophrenia or schizoaffective disorders followed by the assertive community treatment service in the community. Outcome measures include demographic data, Brief Psychiatric Rating Scale, Clinical Global Impressions Scale-Improvement and Severity, 24-item Behavior and Symptom Identification Scale, World Health Organization Quality of Life Scale, Health of the Nation Outcome Scales, Threshold Assessment Grid, number of admissions, emergency department (ED) visits, and hospital bed days. RESULTS: Paired sample t tests showed a statistically significant reduction in average ED visits and hospital admissions in the 2 years post combination, with an average 1.8 fewer ED visits (95% CI, 0.58-3.02, P = .024) and a mean reduction of 0.85 hospital admissions (95% CI , 0.363-1.337, P = .008). The reduction in hospital bed days post combination was not statistically significant. Chart reviews found insufficient data for analysis of the remaining outcome measures. CONCLUSIONS: The combination of clozapine and a long-acting injectable antipsychotic appears to reduce health care utilization in terms of ED visits and number of hospital admissions. Larger prospective studies will be required to confirm the results.