Table 4.
Indirect effects of neighborhood-level health insurance coverage (percent of population with private or Medicaid insurance within the neighborhood of the participant’s home residence) in 2015 on mediating the covariate-adjusted association between area deprivation index in 2015 and the median scores of patient-reported outcomes of neurological and physical function from the latest year between 2018 and 2020 from the joint cohorts.
| 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.