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Table 1 Demographic characteristics from United States emergency department patient visits by race/ethnicity from 2006 to 2016

From: The influence of patient race on the use of diagnostic imaging in United States emergency departments: data from the National Hospital Ambulatory Medical Care survey

  Patient race and ethnicity
White vs Minority Sub-divided Minority Groups
White All minorities Black Hispanic Asian/Other p-valueb
Count (weighted) 865,098,482 582,045,941 323,144,348 212,126,410 46,775,183  
Age (mean (SE)) 40.5 (0.25) 32.2 (0.30) 33.6 (0.34) 29.3 (0.45) 34.8 (0.59) < 0.001
Gender (% male) 45.5 (0.19) 44.5 (0.25) 43.1 (0.32) 46.3 (0.34) 46.1 (0.64) < 0.001
Total number of chronic conditions a (mean (SE)) 0.8 (0.03) 0.6 (0.02) 0.7 (0.03) 0.5 (0.03) 0.6 (0.04) < 0.001
Insurance status (% (SE)): < 0.001
 Private insurance 34.1 (0.47) 23.4 (0.51) 22.8 (0.63) 22.1 (0.63) 33.0 (1.17)  
 Medicare 21.6 (0.34) 11.2 (0.27) 12.9 (0.35) 8.3 (0.32) 12.5 (0.70)  
 Medicaid 21.3 (0.49) 36.6 (0.71) 35.2 (0.71) 40.2 (1.11) 30.2 (1.29)  
 Uninsured, unknown, other 23.0 (0.55) 28.8 (0.70) 29.1 (0.80) 29.5 (0.89) 24.3 (1.31)  
Imaging ordered (% of all visits (SE)):
 Any imaging exam 49.3 (0.48) 41.4 (0.44) 41.3 (0.62) 41.0 (0.49) 43.5 (1.02) < 0.001
  -X-ray 36.2 (0.38) 30.5 (0.38) 31.3 (0.54) 28.8 (0.39) 32.4 (0.95) < 0.001
  -CT 17.1 (0.34) 12.3 (0.25) 11.8 (0.34) 12.7 (0.33) 13.9 (0.55) < 0.001
  -MRI 0.7 (0.04) 0.6 (0.04) 0.5 (0.05) 0.6 (0.06) 0.9 (0.12) < 0.001
  -Ultrasound 3.5 (0.13) 3.9 (0.13) 3.5 (0.16) 4.6 (0.18) 3.8 (0.26) < 0.001
  1. SE standard error, CT computed tomography, MRI magnetic resonance imaging
  2. Demographic characteristics of United States Emergency Department visits for the years 2006–2016 are tabulated by patient race/ethnicity. The counts in the first row represent the survey weighted numbers of patient visits in the data set over the study time period. The mean values and proportions in the body of the table are formulated using the survey weighted values to produce national level estimates
  3. a Data only available from 2012 to 2016
  4. b ANOVA test was used to test if the age and total number of chronic conditions were different across racial and ethnic groups. Pearson’s chi-squared test was used to compare the proportion of male, distribution of insurance status, and proportion of different types of imaging exams ordered across four racial/ethnic groups. Bonferroni calculation used for multiple comparison correction