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Table 1 Descriptive characteristics of microsimulation trials by groups and payer types

From: The impact of high school athletic trainer services on medical payments and utilizations: a microsimulation analysis on medical claims

 

Medicaid

Commercial

Both payer types

Non-AT group, n = 1,061,823

AT group, n = 2,332,627

Non-AT group, n = 1,135,575

AT group, n = 3,459,175

Non-AT group, n = 2,151,531

AT group, n = 5,520,007

Age in baseline year 2011, mean (standard error) a

14.5 (0.002)

14.3 (0.001)

14.7 (0.002)

14.4 (0.001)

14.6 (0.001)

14.4 (0.001)

Gender, %

 Female

46.0%

46.3%

46.9%

47.5%

46.5%

47.1%

 Male

54.0%

53.7%

53.1%

52.5%

53.5%

52.9%

Race, %

 White

64.4%

59.3%

16.5%

11.8%

38.9%

30.3%

 Black

3.8%

3.9%

0.8%

0.9%

2.23%

2.1%

 Other

6.4%

6.8%

1.3%

1.0%

3.7%

3.3%

 Unknown

25.4%

30.0%

81.5%

86.3%

55.1%

64.4%

Ethnicity, %

 Hispanic

9.1%

12.5%

1.3%

1.2%

5.1%

5.7%

 Not Hispanic

56.2%

52.0%

7.9%

6.3%

30.6%

24.1%

 Unknown

34.7%

35.5%

90.8%

92.5%

64.3%

70.2%

Residence areas defined by RUCA codes b, %

 Urban area

86.3%

96.3%

89.4%

95.6%

88.0%

99.1%

 Rural area

13.4%

0.9%

10.2%

0.9%

11.7%

0.9%

 Not defined

0.3%

2.8%

0.4%

3.4%

0.3%

0.0%

  1. aStandard errors were estimated based on bootstrap of 50 replications clustered by sample. bResidence areas were defined by the Rural-Urban Commuting Area (RUCA) criteria (University of Washington n.d.)
  2. Abbreviation: AT Athletic trainer