Computer adaptive testing to assess impairing behavioral health problems in emergency department patients

Autor: Lauren M. O’Reilly, Azhar I. Dalal, Serena Maag, Matthew T. Perry, Alex Card, Max B. Bohrer, Jackson Hamersly, Setarah Mohammed, Kelli Peterson, David G. Beiser, Robert D. Gibbons, Brian M. D’Onofrio, Paul I. Musey
Rok vydání: 2022
DOI: 10.1101/2022.01.08.22268937
Popis: Study ObjectiveTo assess the prevalence of several impairing behavioral health domains in stable patients presenting to the emergency department (ED) through the use of computer adaptive testing and the association among the domains, standard assessments, and ED utilization.MethodsThis was a single-center observational study of 828 randomly selected adult patients presenting to the ED from May 2019 to March 2020. The main outcomes of interest were the self-administered, validated computer adaptive assessments of suicidality, depression, anxiety, PTSD, and substance abuse using computer adaptive testing, the CAT-MH™. We estimated the association among the CAT-MH™ subscales, standard assessments, and the number of ED visits in the year prior and 30 days after enrollment.ResultsThe proportion of those who scored above the threshold of low/mild risk were: 24.1% (suicidality), 8.3% (depression), 16.5% (anxiety), 12.3% (PTSD), and 20.4% (substance use). While the CAT-MH™ subscales were highly correlated with other self-report assessments, they were not highly associated with standard ED assessments of suicidality. When examining associations with ED use, for example, individuals who had two or more ED visits in the prior year had 51% increased odds of being in the intermediate-high suicide risk category (95% Confidence Interval [CI], 1.03-2.23) compared to those with zero prior ED visits.ConclusionThe CAT-MH™ can document the high prevalence of mental health conditions in the ED, which were missed by standard ED practices. Mental health problems are associated with ED utilization in a population of patients presenting largely for somatic complaints.
Databáze: OpenAIRE