Race based discrimination in emergency department utilization; a quantitative study

Abstract

Objectives: Many studies have verified the adverse effects of prolonged emergency department (ED) length of stay (LOS) on outcomes. Patient, physician, hospital, and system factors affect ED LOS. We investigate racial disparities in prolonged ED LOS for admitted patients, controlling for both patients' medical condition and hospital factors that could be responsible for potential disparities. Methods: We studied 6932 hospital admissions from 994 EDs in the National Hospital Ambulatory Medical Care Survey from 2009-2011. The main outcome was prolonged ED LOS, which was defined as triage to transfer to inpatient bed >6 hours. We use the logit model as the maximum likelihood model of choice. Akaike information criterion, Bayesian information criterion as well as the Pregibon's link test are used to test different specifications of the model. Results: The mean age of our sample was 57 years; 65% of patients were white, and 54% of them were female. A total of 58.5% of patients experienced prolonged LOS. Overall, 55.4% of whites stayed for more than six hours in the ED, compared to 64.1% of non-whites (p<0.01). Among the sample of this study, the average predicted probability of prolonged ED OLS was 0.5798, 0.5791, and 0.5989 in 2009, 2010, and 2011 respectively (p<0.01 for each year). On average, compared to white patients, black patients had a 7.3, 1.3, and 6.7 percentage point higher probability of having prolonged ED LOS, controlling for all other variables in 2009, 2010, and 2011 respectively (p<0.01). Conclusions: Non-white patients who are admitted to the main hospital through the ED have a longer ED LOS compared to whites, demonstrating that racial disparities still exist across U.S. hospitals.

Research and Design Trends for Exam Room Computing to Enhance Patient Centeredness

“…Bias can make care less patient-centered and impact the quality of care offered by providers through implicit, or unconscious bias, or through overt discrimination. Some outcomes of bias in patient care include dismissing patient complaints or requests for assistance (such as pain medications), less time spent with patients (Thomas, 2018), not offering beneficial services (Thomas, 2018), longer wait times for hospital admissions (Mostajabi, 2018), and even higher rates of reporting patients to authorities or social services (Thomas, 2018). Furthermore, experiencing discrimination itself can cause health detriments due to increased biological stress response.…”