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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