Abstract

De-escalation of behavioral emergencies in the inpatient medical setting may involve restrictive clinical interventions that directly challenge patient autonomy. We describe a quality improvement framework used to examine associations between patient characteristics and behavioral emergency de-escalation strategies. This project may inform other Consultation-Liaison Psychiatry teams seeking to promote equity in care. We examined behavioral emergency response team (BERT) management at an urban, tertiary-care medical center in the United States over a 3-year period. BERT data from an existing dataset were combined with demographic information from the hospital's electronic medical record. Race and ethnic identities were categorized as Black, Hispanic, Asian, White, and unknown. BERT events were coded based on the most restrictive intervention utilized per unique patient. Cross-tabulations and adjusted odds ratios from multivariate logistic regression were used to identify quality improvement targets in this exploratory project. The sample included N= 902 patients and 1532 BERT events. The most frequent intervention reached was verbal de-escalation (n= 419 patients, 46.45%) and the least frequent was 4-point restraints (n= 29 patients, 3.2%). Half of BERT activations for Asian and a third for Hispanic patients required interpreter services. Anxiety and cognitive disorders and 2 BERT interventions, verbal de-escalation, and intramuscular/intravenous/ medications, were significantly associated with race/ethnic category. The most restrictive intervention for BERTs involving Black and Asian patients were verbal de-escalation (60.1%) and intramuscular/intravenous(53.7%), respectively. These proportions were higher compared with other race/ethnic groups. There was a greater percentage of patients from the unknown (6.3%) and Black (5.9%) race/ethnic groups placed in 4-point restraints compared with other groups (3.2%) that did not reach statistical significance. A logistic regression model predicting 4-point restraints indicated that younger age, multiple BERTs, and violent behavior as a reason for BERT activation, but not race/ethnic group, resulted in significantly higher odds. This project illustrates that a quality improvement framework utilizing existing clinical data can be used to engage in organizational introspection and identify potential areas of bias in BERT management. Our findings suggest opportunities for further exploration, enhanced education, and programmatic improvements regarding BERT intervention; 4-point restraints; interpreter services; and the influence of race on perception of psychopathology.

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