Determination of combination therapy prescribing patterns for the treatment of acute agitation in psychiatric patients: A regression model of patient diagnoses and demographics

Abstract

Introduction Guidelines for the treatment of acute agitation typically recommend monotherapy with an antipsychotic or a benzodiazepine, but combination therapy is frequently used in practice. We created a regression model to identify which factors lead to the prescribing of combination therapy for acute agitation on a psychiatry unit. Methods We collected retrospective data from hospitalized patients in the psychiatry unit. An a priori alpha of 0.05 was used for binary logistic regression models to determine if and how the number of prescribed medications for acute agitation was influenced by: age, sex, race, cardiovascular comorbidities, and psychiatric diagnoses. Results We identified 1998 encounters from 1200 patients. Patients are significantly more likely to be prescribed combination therapy if they are young, male, and of non-white race or have a diagnosis of central nervous system stimulant use, hallucinogen use, depression, bipolar, cluster B personality, or psychosis. Patients are significantly more likely to be prescribed monotherapy if they have cardiovascular comorbidity or have neurocognitive disorder. Discussion Several demographic or diagnostic factors predict combination therapy prescribing. Acute agitation guidelines should be reviewed to include more clear instructions on combination therapy use.