Description
BACKGROUND: It has been speculated that freestanding emergency departments (FEDs) draw more affluent, better-insured patients away from urban hospital EDs. It is believed that this leaves urban hospital-based EDs less financially secure. OBJECTIVE: We examined whether the distribution of patients with four types of insurance (self-pay, Medicaid, Medicare, and private) at the main ED changed after opening three affiliated FEDs, and whether the insurance type distribution was different between main ED and FEDs and between individual FEDs. METHODS: A retrospective analysis of insurance status of all patients presenting to our EDs from July 2006 through August 2013. Insurance was divided into self-pay, Medicare, Medicaid, and private insurance across three time periods, which reflect the sequential opening of each FED. Insurance types for each facility were compared for individual time periods and across time periods. chi(2) was used to analyze the data. RESULTS: In the three studied time frames (periods B, C, and D), there were less privately insured patients and more self-pay, Medicaid, and Medicare patients at the main than at each FED (p \textless 0.001). Insurance types were significantly different between each of the three FEDs and the main ED (p \textless 0.001) and between each of the three FEDs (p \textless 0.001). CONCLUSIONS: There were less privately insured patients and more self-pay, Medicaid, and Medicare patients at the main ED compared to the FEDs. Privately insured patients decreased at both the FEDs and main ED during the study. Insurance distribution was significantly different between the main ED, and three FEDs, and between individual FEDs.
Subject
Emergency Service; Emergency Service – Statistics and Numerical Data; freestanding emergency department; Health – Statistics and Numerical Data; Health – Trends; Health/*statistics & numerical data/trends; Hospital/*statistics & numerical data; Hospitals; Human; Humans; insurance; Insurance; Medicaid – Statistics and Numerical Data; Medicaid/statistics & numerical data; Medically Uninsured – Statistics and Numerical Data; Medically Uninsured/statistics & numerical data; Medicare – Statistics and Numerical Data; Medicare/statistics & numerical data; Retrospective Design; Retrospective Studies; Special – Statistics and Numerical Data; Tertiary Care Centers/statistics & numerical data; United States; Urban – Statistics and Numerical Data; Urban/*statistics & numerical data