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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
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BMC Health Services Research

ISSN: 1472-6963

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