Table 4.
Percent with Private Insurance | Percent with Medicaid Insurance | |||||||
---|---|---|---|---|---|---|---|---|
Indirect Effect 1 | 95% CI 2 | SE 3 | N 4 | Indirect Effect 1 | 95% CI 2 | SE 3 | N 4 | |
MSRS-R | −0.06 | −0.30, 0.18 | 0.12 | 1675 | −0.30 | −0.50, −0.11 | 0.10 | 1675 |
PDDS | −0.03 | −0.11, 0.05 | 0.04 | 1656 | −0.07 | −0.13, −0.00 | 0.03 | 1656 |
PROMIS | 0.03 | −0.52, 0.57 | 0.27 | 1092 | 0.17 | −0.24, 0.58 | 0.21 | 1092 |
Indirect effect (in path c’) was calculated by multiplying path a, the independent variable (area deprivation index) to the mediator variable (percent with private or Medicaid insurance), by path b, the mediator variable to the dependent variable (patient reported outcome). Refer to eFigure 4 for data of each path.
95% confidence intervals (CI). The indirect effect due to the addition of the mediator is significant when the 95% CIs do not encompass 0.
Standard Error
N, the number of observations for each covariate-adjusted regression model.