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. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: J Asthma. 2013 Dec 6;51(2):155–161. doi: 10.3109/02770903.2013.860163

Table 2.

Linear regression results to assess whether the rating of asthma control depends on the percent of minority patients in the practice as presented by the interaction terms in each regression model.

Clinical factor Regression
beta coefficient (95% CI)
p Value
Bother
  Percent minority patients 0.2 (−1.4, 1.7) £
  Bother (yes versus no) 54.7 (−27, 136.4) £
  Interaction term§ 0.3 (−1.5, 2.0) £
  Uncontrolled asthma
  Percent minority patients 0.2 (−1.2, 1.7) £
  Uncontrolled (yes versus no) 591 (511, 672) <0.0001
  Interaction term§ −0.2 (−1.7, 1.4) £
Wheeze
  Percent minority patients 0.2 (−1.4, 1.8) £
  Wheeze (yes versus no) 107.5 (−4.4, 219.3) 0.06
  Interaction term§ −0.8 (−3.0, 1.5) £
Risk
  Percent minority patients 0.7 (−0.9, 2.3) £
  Risk (yes versus no) 110 (−7, 227) 0.06
  Interaction term§ −0.6 (−3.1, 2) £
Worse
  Percent minority patients 0.2 (−1.4, 1.8) £
  Worse (yes versus no) −13.4 (−99.3, 72.4) £
  Interaction term§ −0.3 (−1.9, 1.3) £

Adjusted for pediatrician’s race, employer, weekly volume of asthma patients, years since graduation, location and percent of public health insurance patients.

§

p Value is for interaction terms to test whether the effect of each asthma status indicator on the likelihood to increase treatment differed by proportion of African-American/Latino patients.

£

p Value > 0.1.