Minding the gap: a decomposition of emergency department use by Medicaid enrollees and the uninsured.
OBJECTIVE
To examine differences in Emergency Department (ED) utilization between Medicaid enrollees and the uninsured.


METHODS
We use nationally representative data for adults age 19-64 from the 2004 Medical Expenditure Panel Survey. We calculate descriptive statistics highlighting differences in distributions of measurable characteristics and logit regressions describing differences in the coefficients of the characteristics between the 2 groups. Blinder-Oaxaca nonlinear decomposition methods are applied to quantify the effect that differences in measurable characteristics between the groups have on the differences in ED utilization, as well as examine the magnitude of the effect on utilization of differences in behavior between the groups.


RESULTS
Twenty-seven percent of Medicaid enrollees had an ED visit, whereas 10% of those uninsured the entire year had an ED visit. Roughly half of the utilization gap can be explained by differences in measurable characteristics. Although predisposing factors such as demographic and socioeconomic characteristics explain little of the gap, the variables capturing health limitations reflecting need explain a more substantial amount of the gap. Specifically, the higher presence of chronic conditions reported by Medicaid enrollees accounts for 18 percentage points of the gap, and reporting fair or poor health status explains 10 percentage points of the disparity.


CONCLUSIONS
Decomposition analysis results show that differences in measurable characteristics between the groups explain half of the disparity in visits. The remaining portion of the gap in ED utilization is driven by differences in unmeasured or unobserved characteristics between the groups such as care-seeking behavioral differences.
Mortensen
Karoline
K
Department of Political Science, Rice University Houston, Texas 77005-1892, USA. kmort@rice.edu.
Song
Paula H
PH
D000328:Adult; D001291:Attitude of Health Personnel; D003710:Demography; D004636:Emergency Service, Hospital / Q000191:economics / Q000706:statistics & numerical data*; D005260:Female; D006297:Health Services Accessibility / Q000191:economics*; D006301:Health Services Needs and Demand / Q000706:statistics & numerical data; D006302:Health Services Research / Q000379:methods; D054625:Healthcare Disparities / Q000191:economics* / Q000706:statistics & numerical data; D006801:Humans; D019458:Insurance Coverage / Q000145:classification; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data*; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D008875:Middle Aged; D011336:Probability; D012959:Socioeconomic Factors; D014481:United States; D014600:Utilization Review